From 4464683501ab944cf8cf3196cd7780777ddc69fb Mon Sep 17 00:00:00 2001
From: "julien.houbart_ext" <julien.houbart_ext@sonepar.com>
Date: Fri, 27 Sep 2024 09:45:32 +0200
Subject: [PATCH] Deployed c8d8a55 with MkDocs version: 1.6.1

---
 404.html                                      |   6 +-
 Autoscaling/index.html                        |  90 +--
 Changelog/index.html                          |  16 +-
 Country/index.html                            |   6 +-
 Hardware/index.html                           |   6 +-
 Job/index.html                                | 124 ++---
 Network/index.html                            |  18 +-
 OnPremise/index.html                          |  90 +--
 Serverless/index.html                         |  94 ++--
 Storage/index.html                            | 521 +++---------------
 System footprints.html                        |   2 +-
 System/index.html                             |   6 +-
 UsagePattern/index.html                       |  90 +--
 UserJourney/index.html                        |  12 +-
 UserJourneyStep/index.html                    |   6 +-
 ...07f07601.min.js => search.6ce7567c.min.js} |   6 +-
 ....min.js.map => search.6ce7567c.min.js.map} |   4 +-
 assets/stylesheets/main.06209087.min.css      |   1 +
 assets/stylesheets/main.06209087.min.css.map  |   1 +
 assets/stylesheets/main.35f28582.min.css      |   1 -
 assets/stylesheets/main.35f28582.min.css.map  |   1 -
 best_practices/index.html                     |   6 +-
 build_process/index.html                      |   6 +-
 builders/index.html                           |  56 +-
 calculus_graphs/network_energy_footprint.html |   8 +-
 ...ise_server_available_cpu_per_instance.html |   6 +-
 ...ise_server_available_ram_per_instance.html |   6 +-
 .../on_premise_server_energy_footprint.html   |   8 +-
 ..._premise_server_hour_by_hour_cpu_need.html |   8 +-
 ..._premise_server_hour_by_hour_ram_need.html |   8 +-
 .../on_premise_server_instances_energy.html   |   8 +-
 ...erver_instances_fabrication_footprint.html |   8 +-
 .../on_premise_server_nb_of_instances.html    |   8 +-
 ...on_premise_server_raw_nb_of_instances.html |   8 +-
 .../server_available_cpu_per_instance.html    |   6 +-
 .../server_available_ram_per_instance.html    |   6 +-
 calculus_graphs/server_energy_footprint.html  |   8 +-
 .../server_hour_by_hour_cpu_need.html         |   8 +-
 .../server_hour_by_hour_ram_need.html         |   8 +-
 calculus_graphs/server_instances_energy.html  |   8 +-
 ...erver_instances_fabrication_footprint.html |   8 +-
 calculus_graphs/server_nb_of_instances.html   |   8 +-
 .../server_raw_nb_of_instances.html           |   8 +-
 ...serverless_available_cpu_per_instance.html |   6 +-
 ...serverless_available_ram_per_instance.html |   6 +-
 .../serverless_energy_footprint.html          |   8 +-
 .../serverless_hour_by_hour_cpu_need.html     |   8 +-
 .../serverless_hour_by_hour_ram_need.html     |   8 +-
 .../serverless_instances_energy.html          |   8 +-
 ...rless_instances_fabrication_footprint.html |   8 +-
 .../serverless_nb_of_instances.html           |   8 +-
 .../serverless_raw_nb_of_instances.html       |   8 +-
 calculus_graphs/storage_energy_footprint.html |  10 +-
 .../storage_full_cumulative_storage_need.html |   8 +-
 calculus_graphs/storage_instances_energy.html |  10 +-
 ...orage_instances_fabrication_footprint.html |   8 +-
 .../storage_nb_of_active_instances.html       |  10 +-
 calculus_graphs/storage_nb_of_instances.html  |   8 +-
 .../storage_raw_nb_of_instances.html          |   8 +-
 calculus_graphs/storage_storage_delta.html    |   8 +-
 calculus_graphs/storage_storage_dumps.html    | 155 ------
 calculus_graphs/storage_storage_needed.html   | 155 ------
 ...avg_occurrences_across_usage_patterns.html |   8 +-
 ...rly_avg_occurrences_per_usage_pattern.html |   8 +-
 ...ourly_data_download_per_usage_pattern.html |   8 +-
 ...rly_data_stored_across_usage_patterns.html |   8 +-
 ..._hourly_data_stored_per_usage_pattern.html |   8 +-
 ...rly_data_upload_across_usage_patterns.html |   8 +-
 ..._hourly_data_upload_per_usage_pattern.html |   8 +-
 ...rly_occurrences_across_usage_patterns.html |   8 +-
 ..._hourly_occurrences_per_usage_pattern.html |   8 +-
 .../usage_pattern_devices_energy.html         |   8 +-
 ...sage_pattern_devices_energy_footprint.html |   8 +-
 ...pattern_devices_fabrication_footprint.html |   8 +-
 .../usage_pattern_energy_footprint.html       |   8 +-
 ...ttern_instances_fabrication_footprint.html |   8 +-
 ..._pattern_nb_user_journeys_in_parallel.html |   8 +-
 ...attern_utc_hourly_user_journey_starts.html |   8 +-
 calculus_graphs/user_journey_duration.html    |   6 +-
 .../network_energy_footprint_depth1.html      |   8 +-
 ...ver_available_cpu_per_instance_depth1.html |   6 +-
 ...ver_available_ram_per_instance_depth1.html |   6 +-
 ...remise_server_energy_footprint_depth1.html |   8 +-
 ...e_server_hour_by_hour_cpu_need_depth1.html |   8 +-
 ...e_server_hour_by_hour_ram_need_depth1.html |   8 +-
 ...remise_server_instances_energy_depth1.html |   8 +-
 ...nstances_fabrication_footprint_depth1.html |   8 +-
 ...premise_server_nb_of_instances_depth1.html |   8 +-
 ...ise_server_raw_nb_of_instances_depth1.html |   8 +-
 ...ver_available_cpu_per_instance_depth1.html |   6 +-
 ...ver_available_ram_per_instance_depth1.html |   6 +-
 .../server_energy_footprint_depth1.html       |   8 +-
 .../server_hour_by_hour_cpu_need_depth1.html  |   8 +-
 .../server_hour_by_hour_ram_need_depth1.html  |   8 +-
 .../server_instances_energy_depth1.html       |   8 +-
 ...nstances_fabrication_footprint_depth1.html |   8 +-
 .../server_nb_of_instances_depth1.html        |   8 +-
 .../server_raw_nb_of_instances_depth1.html    |   8 +-
 ...ess_available_cpu_per_instance_depth1.html |   6 +-
 ...ess_available_ram_per_instance_depth1.html |   6 +-
 .../serverless_energy_footprint_depth1.html   |   8 +-
 ...rverless_hour_by_hour_cpu_need_depth1.html |   8 +-
 ...rverless_hour_by_hour_ram_need_depth1.html |   8 +-
 .../serverless_instances_energy_depth1.html   |   8 +-
 ...nstances_fabrication_footprint_depth1.html |   8 +-
 .../serverless_nb_of_instances_depth1.html    |   8 +-
 ...serverless_raw_nb_of_instances_depth1.html |   8 +-
 .../storage_energy_footprint_depth1.html      |   8 +-
 ...e_full_cumulative_storage_need_depth1.html |   8 +-
 .../storage_instances_energy_depth1.html      |   8 +-
 ...nstances_fabrication_footprint_depth1.html |   8 +-
 ...storage_nb_of_active_instances_depth1.html |  10 +-
 .../storage_nb_of_instances_depth1.html       |   8 +-
 .../storage_raw_nb_of_instances_depth1.html   |   8 +-
 .../storage_storage_delta_depth1.html         |  10 +-
 .../storage_storage_dumps_depth1.html         | 155 ------
 .../storage_storage_needed_depth1.html        | 155 ------
 ...urrences_across_usage_patterns_depth1.html |   8 +-
 ..._occurrences_per_usage_pattern_depth1.html |   8 +-
 ...ata_download_per_usage_pattern_depth1.html |   8 +-
 ...a_stored_across_usage_patterns_depth1.html |   8 +-
 ..._data_stored_per_usage_pattern_depth1.html |   8 +-
 ...a_upload_across_usage_patterns_depth1.html |   8 +-
 ..._data_upload_per_usage_pattern_depth1.html |   8 +-
 ...urrences_across_usage_patterns_depth1.html |   8 +-
 ..._occurrences_per_usage_pattern_depth1.html |   8 +-
 .../usage_pattern_devices_energy_depth1.html  |   8 +-
 ...ttern_devices_energy_footprint_depth1.html |   8 +-
 ..._devices_fabrication_footprint_depth1.html |   8 +-
 ...usage_pattern_energy_footprint_depth1.html |   8 +-
 ...nstances_fabrication_footprint_depth1.html |   8 +-
 ...n_nb_user_journeys_in_parallel_depth1.html |   8 +-
 ...utc_hourly_user_journey_starts_depth1.html |   8 +-
 .../user_journey_duration_depth1.html         |   6 +-
 database_modeling/index.html                  |   6 +-
 design_deep_dive/index.html                   |   6 +-
 ...pulation_fab_footprint_calculus_graph.html |   6 +-
 efootprint_scope/index.html                   |   6 +-
 evolution_across_time/index.html              |   6 +-
 explanation_overview/index.html               |   6 +-
 get_started/index.html                        |   6 +-
 index.html                                    |   6 +-
 links/index.html                              |   6 +-
 machine_learning_workflow/index.html          |   6 +-
 measurement_tools/index.html                  |   6 +-
 methodology/index.html                        |   6 +-
 object_reference/index.html                   |   6 +-
 object_relationships_graph.html               |  10 +-
 only_CO2/index.html                           |   6 +-
 search/search_index.json                      |   2 +-
 server_to_server_interaction/index.html       |   6 +-
 sitemap.xml.gz                                | Bin 127 -> 127 bytes
 tutorial/index.html                           |  73 ++-
 .../docs_tutorial.nbconvert_23_0.png          | Bin 25546 -> 0 bytes
 .../docs_tutorial.nbconvert_36_1.png          | Bin 41717 -> 0 bytes
 .../docs_tutorial.nbconvert_41_1.png          | Bin 45586 -> 0 bytes
 .../docs_tutorial.nbconvert_43_1.png          | Bin 42138 -> 0 bytes
 .../docs_tutorial.nbconvert_45_1.png          | Bin 47303 -> 0 bytes
 why_efootprint/index.html                     |   6 +-
 159 files changed, 898 insertions(+), 1902 deletions(-)
 rename assets/javascripts/workers/{search.07f07601.min.js => search.6ce7567c.min.js} (94%)
 rename assets/javascripts/workers/{search.07f07601.min.js.map => search.6ce7567c.min.js.map} (78%)
 create mode 100644 assets/stylesheets/main.06209087.min.css
 create mode 100644 assets/stylesheets/main.06209087.min.css.map
 delete mode 100644 assets/stylesheets/main.35f28582.min.css
 delete mode 100644 assets/stylesheets/main.35f28582.min.css.map
 delete mode 100644 calculus_graphs/storage_storage_dumps.html
 delete mode 100644 calculus_graphs/storage_storage_needed.html
 delete mode 100644 calculus_graphs_depth1/storage_storage_dumps_depth1.html
 delete mode 100644 calculus_graphs_depth1/storage_storage_needed_depth1.html
 delete mode 100644 tutorial_images/docs_tutorial.nbconvert_23_0.png
 delete mode 100644 tutorial_images/docs_tutorial.nbconvert_36_1.png
 delete mode 100644 tutorial_images/docs_tutorial.nbconvert_41_1.png
 delete mode 100644 tutorial_images/docs_tutorial.nbconvert_43_1.png
 delete mode 100644 tutorial_images/docs_tutorial.nbconvert_45_1.png

diff --git a/404.html b/404.html
index 4081e976..e03eda5a 100644
--- a/404.html
+++ b/404.html
@@ -12,7 +12,7 @@
       
       
       <link rel="icon" href="/assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -20,7 +20,7 @@
       
     
     
-      <link rel="stylesheet" href="/assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="/assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1202,7 +1202,7 @@ <h1>404 - Not found</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "/", "features": ["content.code.copy"], "search": "/assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "/", "features": ["content.code.copy"], "search": "/assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="/assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Autoscaling/index.html b/Autoscaling/index.html
index 232b709a..9d4d1ed2 100644
--- a/Autoscaling/index.html
+++ b/Autoscaling/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1725,8 +1725,8 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="hour_by_hour_cpu_need">hour_by_hour_cpu_need</h3>
 <p>server hour by hour cpu need in core.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:<br />
-    first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],<br />
-    last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p>
+    first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],<br />
+    last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1766,7 +1766,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e8c786 {
+             #mynetwork_de6726 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1788,7 +1788,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_e8c786" class="card-body"></div>
+            <div id="mynetwork_de6726" class="card-body"></div>
         </div>
 
 
@@ -1818,12 +1818,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e8c786');
+                  var container = document.getElementById('mynetwork_de6726');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}]);
 
                   nodeColors = {};
@@ -1893,8 +1893,8 @@ <h1></h1>
 <h3 id="hour_by_hour_ram_need">hour_by_hour_ram_need</h3>
 <p>server hour by hour ram need in gigabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1934,7 +1934,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1d4f94 {
+             #mynetwork_cbf7b5 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1956,7 +1956,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_1d4f94" class="card-body"></div>
+            <div id="mynetwork_cbf7b5" class="card-body"></div>
         </div>
 
 
@@ -1986,12 +1986,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1d4f94');
+                  var container = document.getElementById('mynetwork_cbf7b5');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}]);
 
                   nodeColors = {};
@@ -2101,7 +2101,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9c57c9 {
+             #mynetwork_c31b91 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2123,7 +2123,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_9c57c9" class="card-body"></div>
+            <div id="mynetwork_c31b91" class="card-body"></div>
         </div>
 
 
@@ -2153,7 +2153,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9c57c9');
+                  var container = document.getElementById('mynetwork_c31b91');
 
 
 
@@ -2268,7 +2268,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_80ed3a {
+             #mynetwork_2ab64d {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2290,7 +2290,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_80ed3a" class="card-body"></div>
+            <div id="mynetwork_2ab64d" class="card-body"></div>
         </div>
 
 
@@ -2320,7 +2320,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_80ed3a');
+                  var container = document.getElementById('mynetwork_2ab64d');
 
 
 
@@ -2395,8 +2395,8 @@ <h1></h1>
 <h3 id="raw_nb_of_instances">raw_nb_of_instances</h3>
 <p>hourly raw number of server instances in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hour_by_hour_ram_need">server hour by hour ram need</a></li>
@@ -2438,7 +2438,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e2e496 {
+             #mynetwork_72e1e0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2460,7 +2460,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_e2e496" class="card-body"></div>
+            <div id="mynetwork_72e1e0" class="card-body"></div>
         </div>
 
 
@@ -2490,12 +2490,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e2e496');
+                  var container = document.getElementById('mynetwork_72e1e0');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}]);
 
                   nodeColors = {};
@@ -2605,7 +2605,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_09accf {
+             #mynetwork_2a7208 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2627,7 +2627,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_09accf" class="card-body"></div>
+            <div id="mynetwork_2a7208" class="card-body"></div>
         </div>
 
 
@@ -2657,12 +2657,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_09accf');
+                  var container = document.getElementById('mynetwork_2a7208');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}]);
 
                   nodeColors = {};
@@ -2774,7 +2774,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7bc658 {
+             #mynetwork_096871 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2796,7 +2796,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_7bc658" class="card-body"></div>
+            <div id="mynetwork_096871" class="card-body"></div>
         </div>
 
 
@@ -2826,12 +2826,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7bc658');
+                  var container = document.getElementById('mynetwork_096871');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of server", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of server", "to": "Hourly server instances fabrication footprint"}]);
 
                   nodeColors = {};
@@ -2901,8 +2901,8 @@ <h1></h1>
 <h3 id="instances_energy">instances_energy</h3>
 <p>hourly energy consumed by server instances in kilowatt_hour.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:<br />
-    first 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],<br />
-    last 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]  </p>
+    first 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],<br />
+    last 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#nb_of_instances">Hourly number of server instances</a></li>
@@ -2945,7 +2945,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1d7b25 {
+             #mynetwork_893724 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2967,7 +2967,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_1d7b25" class="card-body"></div>
+            <div id="mynetwork_893724" class="card-body"></div>
         </div>
 
 
@@ -2997,12 +2997,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1d7b25');
+                  var container = document.getElementById('mynetwork_893724');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}]);
 
                   nodeColors = {};
@@ -3113,7 +3113,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5968a2 {
+             #mynetwork_4c66f2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3135,7 +3135,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_5968a2" class="card-body"></div>
+            <div id="mynetwork_4c66f2" class="card-body"></div>
         </div>
 
 
@@ -3165,12 +3165,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5968a2');
+                  var container = document.getElementById('mynetwork_4c66f2');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by server instances", "to": "Hourly server energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of server electricity", "to": "Hourly server energy footprint"}]);
 
                   nodeColors = {};
@@ -3283,7 +3283,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Changelog/index.html b/Changelog/index.html
index 602faf68..01670cb4 100644
--- a/Changelog/index.html
+++ b/Changelog/index.html
@@ -14,7 +14,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -22,7 +22,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1179,9 +1179,9 @@
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
       
         <li class="md-nav__item">
-  <a href="#600-2024-09-24" class="md-nav__link">
+  <a href="#600-2024-09-27" class="md-nav__link">
     <span class="md-ellipsis">
-      [6.0.0] 2024-09-24
+      [6.0.0] 2024-09-27
     </span>
   </a>
   
@@ -2182,9 +2182,9 @@
     <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
       
         <li class="md-nav__item">
-  <a href="#600-2024-09-24" class="md-nav__link">
+  <a href="#600-2024-09-27" class="md-nav__link">
     <span class="md-ellipsis">
-      [6.0.0] 2024-09-24
+      [6.0.0] 2024-09-27
     </span>
   </a>
   
@@ -3169,7 +3169,7 @@ <h1 id="change-log">Change Log</h1>
 <p>All notable changes to this project will be documented in this file.</p>
 <p>The format is based on <a href="http://keepachangelog.com/">Keep a Changelog</a>
 and this project adheres to <a href="http://semver.org/">Semantic Versioning</a>.</p>
-<h2 id="600-2024-09-24">[6.0.0] 2024-09-24</h2>
+<h2 id="600-2024-09-27">[6.0.0] 2024-09-27</h2>
 <ul>
 <li>Introduce in job Object the attribute "data_stored". This attribute is the amount of data stored by the job in the storage. It can be negative if the job deletes data from the storage.</li>
 </ul>
@@ -3456,7 +3456,7 @@ <h3 id="added_17">Added</h3>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Country/index.html b/Country/index.html
index f08f1854..d7b3fd73 100644
--- a/Country/index.html
+++ b/Country/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1450,7 +1450,7 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Hardware/index.html b/Hardware/index.html
index 2bd45eaf..e59660c9 100644
--- a/Hardware/index.html
+++ b/Hardware/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1452,7 +1452,7 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Job/index.html b/Job/index.html
index 533ce9f2..5b21bd7f 100644
--- a/Job/index.html
+++ b/Job/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1704,9 +1704,9 @@ <h3 id="hourly_occurrences_per_usage_pattern">hourly_occurrences_per_usage_patte
 <p>Dictionary with UsagePattern as keys and 
                         hourly streaming occurrences in usage pattern as values, in dimensionless.  </p>
 <p>Example value: {<br />
-id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],<br />
-    last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8], <br />
+id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
+    first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],<br />
+    last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7], <br />
 }  </p>
 <p>Depends directly on:  </p>
 <ul>
@@ -1746,7 +1746,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d9a895 {
+             #mynetwork_06b8c1 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1768,7 +1768,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_d9a895" class="card-body"></div>
+            <div id="mynetwork_06b8c1" class="card-body"></div>
         </div>
 
 
@@ -1798,12 +1798,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d9a895');
+                  var container = document.getElementById('mynetwork_06b8c1');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
@@ -1874,9 +1874,9 @@ <h3 id="hourly_avg_occurrences_per_usage_pattern">hourly_avg_occurrences_per_usa
 <p>Dictionary with UsagePattern as keys and 
                         average hourly streaming occurrences in usage pattern as values, in dimensionless.  </p>
 <p>Example value: {<br />
-id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],<br />
-    last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53], <br />
+id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
+    first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],<br />
+    last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47], <br />
 }  </p>
 <p>Depends directly on:  </p>
 <ul>
@@ -1917,7 +1917,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7536f1 {
+             #mynetwork_426988 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1939,7 +1939,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_7536f1" class="card-body"></div>
+            <div id="mynetwork_426988" class="card-body"></div>
         </div>
 
 
@@ -1969,12 +1969,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7536f1');
+                  var container = document.getElementById('mynetwork_426988');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
@@ -2045,9 +2045,9 @@ <h3 id="hourly_data_upload_per_usage_pattern">hourly_data_upload_per_usage_patte
 <p>Dictionary with UsagePattern as keys and 
                         hourly data upload for streaming in usage pattern as values, in megabyte.  </p>
 <p>Example value: {<br />
-id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
-    first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],<br />
-    last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4], <br />
+id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
+    first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],<br />
+    last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35], <br />
 }  </p>
 <p>Depends directly on:  </p>
 <ul>
@@ -2088,7 +2088,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f015f5 {
+             #mynetwork_b62ad8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2110,7 +2110,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_f015f5" class="card-body"></div>
+            <div id="mynetwork_b62ad8" class="card-body"></div>
         </div>
 
 
@@ -2140,12 +2140,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f015f5');
+                  var container = document.getElementById('mynetwork_b62ad8');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "data upload per hour for job streaming in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "Data upload of request streaming", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data upload per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
@@ -2216,9 +2216,9 @@ <h3 id="hourly_data_download_per_usage_pattern">hourly_data_download_per_usage_p
 <p>Dictionary with UsagePattern as keys and 
                         hourly data download for streaming in usage pattern as values, in megabyte.  </p>
 <p>Example value: {<br />
-id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
-    first 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0, 7200.0, 2400.0],<br />
-    last 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0, 3200.0, 6400.0], <br />
+id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
+    first 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0, 5600.0, 1600.0],<br />
+    last 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0, 1600.0, 5600.0], <br />
 }  </p>
 <p>Depends directly on:  </p>
 <ul>
@@ -2259,7 +2259,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_781a8a {
+             #mynetwork_fd16bc {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2281,7 +2281,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_781a8a" class="card-body"></div>
+            <div id="mynetwork_fd16bc" class="card-body"></div>
         </div>
 
 
@@ -2311,12 +2311,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_781a8a');
+                  var container = document.getElementById('mynetwork_fd16bc');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "data download per hour for job streaming in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "Data download of request streaming", "to": "data download per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data download per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
@@ -2387,9 +2387,9 @@ <h3 id="hourly_data_stored_per_usage_pattern">hourly_data_stored_per_usage_patte
 <p>Dictionary with UsagePattern as keys and 
                         hourly data stored for streaming in usage pattern as values, in megabyte.  </p>
 <p>Example value: {<br />
-id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
-    first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],<br />
-    last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4], <br />
+id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
+    first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],<br />
+    last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35], <br />
 }  </p>
 <p>Depends directly on:  </p>
 <ul>
@@ -2430,7 +2430,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_38be2b {
+             #mynetwork_d72389 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2452,7 +2452,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_38be2b" class="card-body"></div>
+            <div id="mynetwork_d72389" class="card-body"></div>
         </div>
 
 
@@ -2482,12 +2482,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_38be2b');
+                  var container = document.getElementById('mynetwork_d72389');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
@@ -2557,8 +2557,8 @@ <h1></h1>
 <h3 id="hourly_occurrences_across_usage_patterns">hourly_occurrences_across_usage_patterns</h3>
 <p>hourly streaming occurrences across usage patterns in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],<br />
-    last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]  </p>
+    first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],<br />
+    last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hourly_occurrences_per_usage_pattern">Hourly streaming occurrences in usage pattern</a>  </li>
@@ -2597,7 +2597,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_37715a {
+             #mynetwork_2182cd {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2619,7 +2619,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_37715a" class="card-body"></div>
+            <div id="mynetwork_2182cd" class="card-body"></div>
         </div>
 
 
@@ -2649,12 +2649,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_37715a');
+                  var container = document.getElementById('mynetwork_2182cd');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly streaming occurrences across usage patterns"}]);
 
                   nodeColors = {};
@@ -2724,8 +2724,8 @@ <h1></h1>
 <h3 id="hourly_avg_occurrences_across_usage_patterns">hourly_avg_occurrences_across_usage_patterns</h3>
 <p>hourly streaming average occurrences across usage patterns in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],<br />
-    last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p>
+    first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],<br />
+    last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hourly_avg_occurrences_per_usage_pattern">Average hourly streaming occurrences in usage pattern</a>  </li>
@@ -2764,7 +2764,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_3d13be {
+             #mynetwork_97ed81 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2786,7 +2786,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_3d13be" class="card-body"></div>
+            <div id="mynetwork_97ed81" class="card-body"></div>
         </div>
 
 
@@ -2816,12 +2816,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_3d13be');
+                  var container = document.getElementById('mynetwork_97ed81');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}]);
 
                   nodeColors = {};
@@ -2891,8 +2891,8 @@ <h1></h1>
 <h3 id="hourly_data_upload_across_usage_patterns">hourly_data_upload_across_usage_patterns</h3>
 <p>hourly streaming data upload across usage patterns in megabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
-    first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],<br />
-    last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]  </p>
+    first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],<br />
+    last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hourly_data_upload_per_usage_pattern">Hourly data upload for streaming in usage pattern</a>  </li>
@@ -2931,7 +2931,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_85f216 {
+             #mynetwork_fb8ea8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2953,7 +2953,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_85f216" class="card-body"></div>
+            <div id="mynetwork_fb8ea8" class="card-body"></div>
         </div>
 
 
@@ -2983,12 +2983,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_85f216');
+                  var container = document.getElementById('mynetwork_fb8ea8');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}]);
 
                   nodeColors = {};
@@ -3058,8 +3058,8 @@ <h1></h1>
 <h3 id="hourly_data_stored_across_usage_patterns">hourly_data_stored_across_usage_patterns</h3>
 <p>hourly streaming data upload across usage patterns in megabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:<br />
-    first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],<br />
-    last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]  </p>
+    first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],<br />
+    last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hourly_data_stored_per_usage_pattern">Hourly data stored for streaming in usage pattern</a>  </li>
@@ -3098,7 +3098,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_afdf37 {
+             #mynetwork_336c94 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3120,7 +3120,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_afdf37" class="card-body"></div>
+            <div id="mynetwork_336c94" class="card-body"></div>
         </div>
 
 
@@ -3150,12 +3150,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_afdf37');
+                  var container = document.getElementById('mynetwork_336c94');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}]);
 
                   nodeColors = {};
@@ -3268,7 +3268,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Network/index.html b/Network/index.html
index a2fed361..e0d8f672 100644
--- a/Network/index.html
+++ b/Network/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1379,8 +1379,8 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="energy_footprint">energy_footprint</h3>
 <p>hourly network energy footprint in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_data_upload_per_usage_pattern">Hourly data upload for streaming in usage pattern</a></li>
@@ -1422,7 +1422,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5ab5c5 {
+             #mynetwork_f107bc {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1444,7 +1444,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_5ab5c5" class="card-body"></div>
+            <div id="mynetwork_f107bc" class="card-body"></div>
         </div>
 
 
@@ -1474,12 +1474,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5ab5c5');
+                  var container = document.getElementById('mynetwork_f107bc');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern network energy consumption", "to": "Hourly network energy footprint"}, {"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Hourly data download for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "bandwith energy intensity of network", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Hourly network energy footprint"}]);
 
                   nodeColors = {};
@@ -1592,7 +1592,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/OnPremise/index.html b/OnPremise/index.html
index 1c41663d..aae85498 100644
--- a/OnPremise/index.html
+++ b/OnPremise/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1745,8 +1745,8 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="hour_by_hour_cpu_need">hour_by_hour_cpu_need</h3>
 <p>on premise server hour by hour cpu need in core.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:<br />
-    first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],<br />
-    last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p>
+    first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],<br />
+    last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1786,7 +1786,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e044af {
+             #mynetwork_0786d0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1808,7 +1808,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_e044af" class="card-body"></div>
+            <div id="mynetwork_0786d0" class="card-body"></div>
         </div>
 
 
@@ -1838,12 +1838,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e044af');
+                  var container = document.getElementById('mynetwork_0786d0');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}]);
 
                   nodeColors = {};
@@ -1913,8 +1913,8 @@ <h1></h1>
 <h3 id="hour_by_hour_ram_need">hour_by_hour_ram_need</h3>
 <p>on premise server hour by hour ram need in gigabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1954,7 +1954,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_fe13cd {
+             #mynetwork_85930a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1976,7 +1976,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_fe13cd" class="card-body"></div>
+            <div id="mynetwork_85930a" class="card-body"></div>
         </div>
 
 
@@ -2006,12 +2006,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_fe13cd');
+                  var container = document.getElementById('mynetwork_85930a');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}]);
 
                   nodeColors = {};
@@ -2121,7 +2121,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_aed942 {
+             #mynetwork_0ab7c7 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2143,7 +2143,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_aed942" class="card-body"></div>
+            <div id="mynetwork_0ab7c7" class="card-body"></div>
         </div>
 
 
@@ -2173,7 +2173,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_aed942');
+                  var container = document.getElementById('mynetwork_0ab7c7');
 
 
 
@@ -2288,7 +2288,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_c28d43 {
+             #mynetwork_1c3816 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2310,7 +2310,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_c28d43" class="card-body"></div>
+            <div id="mynetwork_1c3816" class="card-body"></div>
         </div>
 
 
@@ -2340,7 +2340,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_c28d43');
+                  var container = document.getElementById('mynetwork_1c3816');
 
 
 
@@ -2415,8 +2415,8 @@ <h1></h1>
 <h3 id="raw_nb_of_instances">raw_nb_of_instances</h3>
 <p>hourly raw number of on premise server instances in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hour_by_hour_ram_need">on premise server hour by hour ram need</a></li>
@@ -2458,7 +2458,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_32352b {
+             #mynetwork_2a3de6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2480,7 +2480,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_32352b" class="card-body"></div>
+            <div id="mynetwork_2a3de6" class="card-body"></div>
         </div>
 
 
@@ -2510,12 +2510,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_32352b');
+                  var container = document.getElementById('mynetwork_2a3de6');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}]);
 
                   nodeColors = {};
@@ -2626,7 +2626,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e4326f {
+             #mynetwork_ff844c {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2648,7 +2648,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_e4326f" class="card-body"></div>
+            <div id="mynetwork_ff844c" class="card-body"></div>
         </div>
 
 
@@ -2678,12 +2678,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e4326f');
+                  var container = document.getElementById('mynetwork_ff844c');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -300.0, "y": 1200}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -300.0, "y": 1200}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}]);
 
                   nodeColors = {};
@@ -2795,7 +2795,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_853def {
+             #mynetwork_1c66c8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2817,7 +2817,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_853def" class="card-body"></div>
+            <div id="mynetwork_1c66c8" class="card-body"></div>
         </div>
 
 
@@ -2847,12 +2847,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_853def');
+                  var container = document.getElementById('mynetwork_1c66c8');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of on premise server", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of on premise server", "to": "Hourly on premise server instances fabrication footprint"}]);
 
                   nodeColors = {};
@@ -2922,8 +2922,8 @@ <h1></h1>
 <h3 id="instances_energy">instances_energy</h3>
 <p>hourly energy consumed by on premise server instances in kilowatt_hour.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:<br />
-    first 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01, 240.01, 240.0],<br />
-    last 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0, 240.01]  </p>
+    first 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0, 240.01, 240.0],<br />
+    last 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01, 240.0, 240.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#nb_of_instances">Fixed number of on premise server instances</a></li>
@@ -2966,7 +2966,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e4d60c {
+             #mynetwork_527348 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2988,7 +2988,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_e4d60c" class="card-body"></div>
+            <div id="mynetwork_527348" class="card-body"></div>
         </div>
 
 
@@ -3018,12 +3018,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e4d60c');
+                  var container = document.getElementById('mynetwork_527348');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -675.0, "y": 1200}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -675.0, "y": 1200}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}]);
 
                   nodeColors = {};
@@ -3134,7 +3134,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9d4f64 {
+             #mynetwork_5ed855 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3156,7 +3156,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_9d4f64" class="card-body"></div>
+            <div id="mynetwork_5ed855" class="card-body"></div>
         </div>
 
 
@@ -3186,12 +3186,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9d4f64');
+                  var container = document.getElementById('mynetwork_5ed855');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by on premise server instances", "to": "Hourly on premise server energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of on premise server electricity", "to": "Hourly on premise server energy footprint"}]);
 
                   nodeColors = {};
@@ -3304,7 +3304,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Serverless/index.html b/Serverless/index.html
index 12371c15..c20706a9 100644
--- a/Serverless/index.html
+++ b/Serverless/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1725,8 +1725,8 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="hour_by_hour_cpu_need">hour_by_hour_cpu_need</h3>
 <p>serverless hour by hour cpu need in core.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:<br />
-    first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],<br />
-    last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p>
+    first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],<br />
+    last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1766,7 +1766,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_18452b {
+             #mynetwork_c411f7 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1788,7 +1788,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_18452b" class="card-body"></div>
+            <div id="mynetwork_c411f7" class="card-body"></div>
         </div>
 
 
@@ -1818,12 +1818,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_18452b');
+                  var container = document.getElementById('mynetwork_c411f7');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}]);
 
                   nodeColors = {};
@@ -1893,8 +1893,8 @@ <h1></h1>
 <h3 id="hour_by_hour_ram_need">hour_by_hour_ram_need</h3>
 <p>serverless hour by hour ram need in gigabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="../Job/#hourly_avg_occurrences_across_usage_patterns">Hourly streaming average occurrences across usage patterns</a></li>
@@ -1934,7 +1934,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_bf68f9 {
+             #mynetwork_539ee4 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1956,7 +1956,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_bf68f9" class="card-body"></div>
+            <div id="mynetwork_539ee4" class="card-body"></div>
         </div>
 
 
@@ -1986,12 +1986,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_bf68f9');
+                  var container = document.getElementById('mynetwork_539ee4');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}]);
 
                   nodeColors = {};
@@ -2101,7 +2101,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_578ff7 {
+             #mynetwork_908ddf {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2123,7 +2123,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_578ff7" class="card-body"></div>
+            <div id="mynetwork_908ddf" class="card-body"></div>
         </div>
 
 
@@ -2153,7 +2153,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_578ff7');
+                  var container = document.getElementById('mynetwork_908ddf');
 
 
 
@@ -2268,7 +2268,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5f7dfa {
+             #mynetwork_0e3b00 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2290,7 +2290,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_5f7dfa" class="card-body"></div>
+            <div id="mynetwork_0e3b00" class="card-body"></div>
         </div>
 
 
@@ -2320,7 +2320,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5f7dfa');
+                  var container = document.getElementById('mynetwork_0e3b00');
 
 
 
@@ -2395,8 +2395,8 @@ <h1></h1>
 <h3 id="raw_nb_of_instances">raw_nb_of_instances</h3>
 <p>hourly raw number of serverless instances in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hour_by_hour_ram_need">serverless hour by hour ram need</a></li>
@@ -2438,7 +2438,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_eaf6ee {
+             #mynetwork_1ff6c6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2460,7 +2460,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_eaf6ee" class="card-body"></div>
+            <div id="mynetwork_1ff6c6" class="card-body"></div>
         </div>
 
 
@@ -2490,12 +2490,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_eaf6ee');
+                  var container = document.getElementById('mynetwork_1ff6c6');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}]);
 
                   nodeColors = {};
@@ -2565,8 +2565,8 @@ <h1></h1>
 <h3 id="nb_of_instances">nb_of_instances</h3>
 <p>hourly number of serverless instances in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#raw_nb_of_instances">Hourly raw number of serverless instances</a>  </li>
@@ -2605,7 +2605,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_203b5e {
+             #mynetwork_2c490f {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2627,7 +2627,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_203b5e" class="card-body"></div>
+            <div id="mynetwork_2c490f" class="card-body"></div>
         </div>
 
 
@@ -2657,12 +2657,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_203b5e');
+                  var container = document.getElementById('mynetwork_2c490f');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}]);
 
                   nodeColors = {};
@@ -2774,7 +2774,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_97b0b2 {
+             #mynetwork_ee40e0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2796,7 +2796,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_97b0b2" class="card-body"></div>
+            <div id="mynetwork_ee40e0" class="card-body"></div>
         </div>
 
 
@@ -2826,12 +2826,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_97b0b2');
+                  var container = document.getElementById('mynetwork_ee40e0');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of serverless", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of serverless", "to": "Hourly serverless instances fabrication footprint"}]);
 
                   nodeColors = {};
@@ -2901,8 +2901,8 @@ <h1></h1>
 <h3 id="instances_energy">instances_energy</h3>
 <p>hourly energy consumed by serverless instances in kilowatt_hour.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:<br />
-    first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],<br />
-    last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]  </p>
+    first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],<br />
+    last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#nb_of_instances">Hourly number of serverless instances</a></li>
@@ -2945,7 +2945,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_ebd37c {
+             #mynetwork_9104dd {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2967,7 +2967,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_ebd37c" class="card-body"></div>
+            <div id="mynetwork_9104dd" class="card-body"></div>
         </div>
 
 
@@ -2997,12 +2997,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_ebd37c');
+                  var container = document.getElementById('mynetwork_9104dd');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}]);
 
                   nodeColors = {};
@@ -3113,7 +3113,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1be935 {
+             #mynetwork_a38e33 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3135,7 +3135,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_1be935" class="card-body"></div>
+            <div id="mynetwork_a38e33" class="card-body"></div>
         </div>
 
 
@@ -3165,12 +3165,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1be935');
+                  var container = document.getElementById('mynetwork_a38e33');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01] * 100.0 gram\n/ kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01] * 100.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by serverless instances", "to": "Hourly serverless energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of serverless electricity", "to": "Hourly serverless energy footprint"}]);
 
                   nodeColors = {};
@@ -3283,7 +3283,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/Storage/index.html b/Storage/index.html
index 723b42d0..6f828a6d 100644
--- a/Storage/index.html
+++ b/Storage/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -946,24 +946,6 @@
     <nav class="md-nav" aria-label="Calculated attributes">
       <ul class="md-nav__list">
         
-          <li class="md-nav__item">
-  <a href="#storage_needed" class="md-nav__link">
-    <span class="md-ellipsis">
-      storage_needed
-    </span>
-  </a>
-  
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#storage_dumps" class="md-nav__link">
-    <span class="md-ellipsis">
-      storage_dumps
-    </span>
-  </a>
-  
-</li>
-        
           <li class="md-nav__item">
   <a href="#storage_delta" class="md-nav__link">
     <span class="md-ellipsis">
@@ -983,27 +965,27 @@
 </li>
         
           <li class="md-nav__item">
-  <a href="#nb_of_active_instances" class="md-nav__link">
+  <a href="#raw_nb_of_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      nb_of_active_instances
+      raw_nb_of_instances
     </span>
   </a>
   
 </li>
         
           <li class="md-nav__item">
-  <a href="#raw_nb_of_instances" class="md-nav__link">
+  <a href="#nb_of_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      raw_nb_of_instances
+      nb_of_instances
     </span>
   </a>
   
 </li>
         
           <li class="md-nav__item">
-  <a href="#nb_of_instances" class="md-nav__link">
+  <a href="#nb_of_active_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      nb_of_instances
+      nb_of_active_instances
     </span>
   </a>
   
@@ -1579,24 +1561,6 @@
     <nav class="md-nav" aria-label="Calculated attributes">
       <ul class="md-nav__list">
         
-          <li class="md-nav__item">
-  <a href="#storage_needed" class="md-nav__link">
-    <span class="md-ellipsis">
-      storage_needed
-    </span>
-  </a>
-  
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#storage_dumps" class="md-nav__link">
-    <span class="md-ellipsis">
-      storage_dumps
-    </span>
-  </a>
-  
-</li>
-        
           <li class="md-nav__item">
   <a href="#storage_delta" class="md-nav__link">
     <span class="md-ellipsis">
@@ -1616,27 +1580,27 @@
 </li>
         
           <li class="md-nav__item">
-  <a href="#nb_of_active_instances" class="md-nav__link">
+  <a href="#raw_nb_of_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      nb_of_active_instances
+      raw_nb_of_instances
     </span>
   </a>
   
 </li>
         
           <li class="md-nav__item">
-  <a href="#raw_nb_of_instances" class="md-nav__link">
+  <a href="#nb_of_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      raw_nb_of_instances
+      nb_of_instances
     </span>
   </a>
   
 </li>
         
           <li class="md-nav__item">
-  <a href="#nb_of_instances" class="md-nav__link">
+  <a href="#nb_of_active_instances" class="md-nav__link">
     <span class="md-ellipsis">
-      nb_of_instances
+      nb_of_active_instances
     </span>
   </a>
   
@@ -1718,351 +1682,16 @@ <h2 id="backwards-links">Backwards links</h2>
 <li><a href="../Job/">Job</a></li>
 </ul>
 <h2 id="calculated-attributes">Calculated attributes</h2>
-<h3 id="storage_needed">storage_needed</h3>
-<p>hourly storage storage need in terabyte.  </p>
-<p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:<br />
-    first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],<br />
-    last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p>
-<p>Depends directly on:  </p>
-<ul>
-<li><a href="../Job/#hourly_data_stored_across_usage_patterns">Hourly streaming data upload across usage patterns</a></li>
-<li><a href="./#data_replication_factor">Data replication factor of storage</a>  </li>
-</ul>
-<p>through the following calculations:  </p>
-<html>
-    <head>
-        <meta charset="utf-8">
-
-            <script src="lib/bindings/utils.js"></script>
-            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-
-
-<center>
-<h1></h1>
-</center>
-
-<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
-        <link
-          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
-          rel="stylesheet"
-          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
-          crossorigin="anonymous"
-        />
-        <script
-          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
-          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
-          crossorigin="anonymous"
-        ></script>
-
-
-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_9d4820 {
-                 width: 760px;
-                 height: 300px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-
-
-
-
-
-        </style>
-    </head>
-
-
-    <body>
-        <div class="card" style="width: 100%">
-
-
-            <div id="mynetwork_9d4820" class="card-body"></div>
-        </div>
-
-
-
-
-        <script type="text/javascript">
-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
-              };
-
-
-
-
-
-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_9d4820');
-
-
-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-
-
-
-
-
-                  network = new vis.Network(container, data, options);
-
-
-
-
-
-
-
-
-
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
-
-<p>You can also visit the <a href='../calculus_graphs/storage_storage_needed.html' target='_blank'>link to Hourly storage storage need’s full calculation graph</a>.</p>
-<h3 id="storage_dumps">storage_dumps</h3>
-<p>storage dumps for storage in terabyte.  </p>
-<p>Example value: 8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:<br />
-    first 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],<br />
-    last 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]  </p>
-<p>Depends directly on:  </p>
-<ul>
-<li><a href="./#storage_needed">Hourly storage storage need</a></li>
-<li><a href="./#data_storage_duration">Data storage duration of storage</a>  </li>
-</ul>
-<p>through the following calculations:  </p>
-<html>
-    <head>
-        <meta charset="utf-8">
-
-            <script src="lib/bindings/utils.js"></script>
-            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-
-
-<center>
-<h1></h1>
-</center>
-
-<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
-        <link
-          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
-          rel="stylesheet"
-          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
-          crossorigin="anonymous"
-        />
-        <script
-          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
-          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
-          crossorigin="anonymous"
-        ></script>
-
-
-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_032818 {
-                 width: 760px;
-                 height: 300px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-
-
-
-
-
-        </style>
-    </head>
-
-
-    <body>
-        <div class="card" style="width: 100%">
-
-
-            <div id="mynetwork_032818" class="card-body"></div>
-        </div>
-
-
-
-
-        <script type="text/javascript">
-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
-              };
-
-
-
-
-
-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_032818');
-
-
-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-
-
-
-
-
-                  network = new vis.Network(container, data, options);
-
-
-
-
-
-
-
-
-
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
-
-<p>You can also visit the <a href='../calculus_graphs/storage_storage_dumps.html' target='_blank'>link to Storage dumps for storage’s full calculation graph</a>.</p>
 <h3 id="storage_delta">storage_delta</h3>
 <p>hourly storage delta for storage in terabyte.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:<br />
     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],<br />
-    last 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p>
+    last 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]  </p>
 <p>Depends directly on:  </p>
 <ul>
-<li><a href="./#storage_needed">Hourly storage storage need</a></li>
-<li><a href="./#storage_dumps">Storage dumps for storage</a>  </li>
+<li><a href="../Job/#hourly_data_stored_across_usage_patterns">Hourly streaming data upload across usage patterns</a></li>
+<li><a href="./#data_replication_factor">Data replication factor of storage</a></li>
+<li><a href="./#data_storage_duration">Data storage duration of storage</a>  </li>
 </ul>
 <p>through the following calculations:  </p>
 <html>
@@ -2098,7 +1727,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_27c9f9 {
+             #mynetwork_143a10 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2120,7 +1749,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_27c9f9" class="card-body"></div>
+            <div id="mynetwork_143a10" class="card-body"></div>
         </div>
 
 
@@ -2150,13 +1779,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_27c9f9');
+                  var container = document.getElementById('mynetwork_143a10');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
@@ -2266,7 +1895,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0b699a {
+             #mynetwork_33bb63 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2288,7 +1917,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_0b699a" class="card-body"></div>
+            <div id="mynetwork_33bb63" class="card-body"></div>
         </div>
 
 
@@ -2318,12 +1947,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0b699a');
+                  var container = document.getElementById('mynetwork_33bb63');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}]);
 
                   nodeColors = {};
@@ -2390,15 +2019,14 @@ <h1></h1>
 </html>
 
 <p>You can also visit the <a href='../calculus_graphs/storage_full_cumulative_storage_need.html' target='_blank'>link to Full cumulative storage need for storage’s full calculation graph</a>.</p>
-<h3 id="nb_of_active_instances">nb_of_active_instances</h3>
-<p>hourly number of active instances for storage in dimensionless.  </p>
+<h3 id="raw_nb_of_instances">raw_nb_of_instances</h3>
+<p>hourly raw number of instances for storage in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],<br />
-    last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p>
+    last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
-<li><a href="./#storage_delta">Hourly storage delta for storage</a></li>
-<li><a href="./#storage_dumps">Storage dumps for storage</a></li>
+<li><a href="./#full_cumulative_storage_need">Full cumulative storage need for storage</a></li>
 <li><a href="./#storage_capacity">Storage capacity of storage</a>  </li>
 </ul>
 <p>through the following calculations:  </p>
@@ -2435,7 +2063,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_6214b6 {
+             #mynetwork_a671f3 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2457,7 +2085,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_6214b6" class="card-body"></div>
+            <div id="mynetwork_a671f3" class="card-body"></div>
         </div>
 
 
@@ -2487,13 +2115,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_6214b6');
+                  var container = document.getElementById('mynetwork_a671f3');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -250.0, "y": 1200}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": -250.0, "y": 1050}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 250.0, "y": 1200}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
@@ -2558,16 +2186,15 @@ <h1></h1>
     </body>
 </html>
 
-<p>You can also visit the <a href='../calculus_graphs/storage_nb_of_active_instances.html' target='_blank'>link to Hourly number of active instances for storage’s full calculation graph</a>.</p>
-<h3 id="raw_nb_of_instances">raw_nb_of_instances</h3>
-<p>hourly raw number of instances for storage in dimensionless.  </p>
+<p>You can also visit the <a href='../calculus_graphs/storage_raw_nb_of_instances.html' target='_blank'>link to Hourly raw number of instances for storage’s full calculation graph</a>.</p>
+<h3 id="nb_of_instances">nb_of_instances</h3>
+<p>hourly number of instances for storage in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],<br />
-    last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p>
+    first 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],<br />
+    last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p>
 <p>Depends directly on:  </p>
 <ul>
-<li><a href="./#full_cumulative_storage_need">Full cumulative storage need for storage</a></li>
-<li><a href="./#storage_capacity">Storage capacity of storage</a>  </li>
+<li><a href="./#raw_nb_of_instances">Hourly raw number of instances for storage</a>  </li>
 </ul>
 <p>through the following calculations:  </p>
 <html>
@@ -2603,7 +2230,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_8faa24 {
+             #mynetwork_62b235 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2625,7 +2252,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_8faa24" class="card-body"></div>
+            <div id="mynetwork_62b235" class="card-body"></div>
         </div>
 
 
@@ -2655,13 +2282,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_8faa24');
+                  var container = document.getElementById('mynetwork_62b235');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
@@ -2726,15 +2353,19 @@ <h1></h1>
     </body>
 </html>
 
-<p>You can also visit the <a href='../calculus_graphs/storage_raw_nb_of_instances.html' target='_blank'>link to Hourly raw number of instances for storage’s full calculation graph</a>.</p>
-<h3 id="nb_of_instances">nb_of_instances</h3>
-<p>hourly number of instances for storage in dimensionless.  </p>
+<p>You can also visit the <a href='../calculus_graphs/storage_nb_of_instances.html' target='_blank'>link to Hourly number of instances for storage’s full calculation graph</a>.</p>
+<h3 id="nb_of_active_instances">nb_of_active_instances</h3>
+<p>hourly number of active instances for storage in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],<br />
-    last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p>
+    first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],<br />
+    last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p>
 <p>Depends directly on:  </p>
 <ul>
-<li><a href="./#raw_nb_of_instances">Hourly raw number of instances for storage</a>  </li>
+<li><a href="../Job/#hourly_data_stored_across_usage_patterns">Hourly streaming data upload across usage patterns</a></li>
+<li><a href="./#data_replication_factor">Data replication factor of storage</a></li>
+<li><a href="./#data_storage_duration">Data storage duration of storage</a></li>
+<li><a href="./#storage_capacity">Storage capacity of storage</a></li>
+<li><a href="./#nb_of_instances">Hourly number of instances for storage</a>  </li>
 </ul>
 <p>through the following calculations:  </p>
 <html>
@@ -2770,7 +2401,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_bf95d6 {
+             #mynetwork_507480 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2792,7 +2423,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_bf95d6" class="card-body"></div>
+            <div id="mynetwork_507480" class="card-body"></div>
         </div>
 
 
@@ -2822,13 +2453,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_bf95d6');
+                  var container = document.getElementById('mynetwork_507480');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
@@ -2893,7 +2524,7 @@ <h1></h1>
     </body>
 </html>
 
-<p>You can also visit the <a href='../calculus_graphs/storage_nb_of_instances.html' target='_blank'>link to Hourly number of instances for storage’s full calculation graph</a>.</p>
+<p>You can also visit the <a href='../calculus_graphs/storage_nb_of_active_instances.html' target='_blank'>link to Hourly number of active instances for storage’s full calculation graph</a>.</p>
 <h3 id="instances_fabrication_footprint">instances_fabrication_footprint</h3>
 <p>hourly storage instances fabrication footprint in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
@@ -2939,7 +2570,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_15428d {
+             #mynetwork_ca563d {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2961,7 +2592,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_15428d" class="card-body"></div>
+            <div id="mynetwork_ca563d" class="card-body"></div>
         </div>
 
 
@@ -2991,12 +2622,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_15428d');
+                  var container = document.getElementById('mynetwork_ca563d');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of storage", "to": "Hourly storage instances fabrication footprint"}]);
 
                   nodeColors = {};
@@ -3110,7 +2741,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0fb732 {
+             #mynetwork_a288da {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3132,7 +2763,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_0fb732" class="card-body"></div>
+            <div id="mynetwork_a288da" class="card-body"></div>
         </div>
 
 
@@ -3162,12 +2793,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0fb732');
+                  var container = document.getElementById('mynetwork_a288da');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2100}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 1950}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1650}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -420.0, "y": 1800}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -210.0, "y": 1800}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1950}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 210.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -262.5, "y": 1650}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 420.0, "y": 1800}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2100}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -300.0, "y": 1950}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -150.0, "y": 1950}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1950}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 187.5, "y": 2100}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 150.0, "y": 1950}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 300.0, "y": 1950}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}]);
 
                   nodeColors = {};
@@ -3278,7 +2909,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_592422 {
+             #mynetwork_922c6c {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -3300,7 +2931,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_592422" class="card-body"></div>
+            <div id="mynetwork_922c6c" class="card-body"></div>
         </div>
 
 
@@ -3330,12 +2961,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_592422');
+                  var container = document.getElementById('mynetwork_922c6c');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 2100}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 262.5, "y": 2100}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2400}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2250}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 187.5, "y": 2250}]);
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+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
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diff --git a/System footprints.html b/System footprints.html
index 28519a95..e2d91114 100644
--- a/System footprints.html	
+++ b/System footprints.html	
@@ -9,6 +9,6 @@
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r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(u.length||c.length){for(r=0;r<u.length;r++)(s=a(t.layout,"annotations",h[u[r]])).modifyItem("visible",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<c.length;r++)(s=a(t.layout,"annotations",h[c[r]])).modifyItem("visible",!1),n.extendFlat(f,s.getUpdateObj());return i.call("update",t,{},f)}}}},87192:function(t,e,r){"use strict";var n=r(3400),i=r(76308);t.exports=function(t,e,r,a){a("opacity");var o=a("bgcolor"),s=a("bordercolor"),l=i.opacity(s);a("borderpad");var u=a("borderwidth"),c=a("showarrow");if(a("text",c?" 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l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<c.length;h++)l=c[h],u="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},45216:function(t,e,r){"use strict";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(13916);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),u=a("clicktoshow");if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var v=f[d],g=i.coerceRef(t,e,p,v,"","paper");if("paper"!==g&&i.getFromId(p,g)._annIndices.push(e._index),i.coercePosition(e,p,a,g,v,.5),c){var y="a"+v,m=i.coerceRef(t,e,p,y,"pixel",["pixel","paper"]);"pixel"!==m&&m!==g&&(m=e[y]="pixel");var x="pixel"===m?h[d]:.4;i.coercePosition(e,p,a,m,y,x)}a(v+"anchor"),a(v+"shift")}if(n.noneOrAll(t,e,["x","y"]),c&&n.noneOrAll(t,e,["ax","ay"]),u){var b=a("xclick"),_=a("yclick");e._xclick=void 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L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,O=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),I=O.append("g").classed("annotation-text-g",!0),D=k[e.showarrow?"annotationTail":"annotationPosition"],z=e.captureevents||k.annotationText||D,R=I.append("g").style("pointer-events",z?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",W(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on("edit",(function(r){e.text=r,this.call(Y),S("text",r),y&&y.autorange&&M(y._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(Y)}else n.selectAll("#"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,q).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),q=Math.round(z+2*N);function H(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=["x","y"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:y,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+"anchor"],ct=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt="domain"===ht;"x"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e["a"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):"paper"===gt?"y"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),"pixel"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e["_"+et+"padplus"]=lt/2+J,e["_"+et+"padminus"]=lt/2-J,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(z-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select("rect").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){O.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),D=+j.attr("height"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=O.append("g").style({opacity:u.opacity(q)}).classed("annotation-arrow-g",!0),W=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-Y)+","+(p-X),transform:s(Y,X)}).style("stroke-width",V+6+"px").call(u.stroke,"rgba(0,0,0,0)").call(u.fill,"rgba(0,0,0,0)");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S("x",m(y,t,"x",T,e)),S("y",m(x,r,"y",T,e)),e.axref===e.xref&&S("ax",m(y,t,"ax",T,e)),e.ayref===e.yref&&S("ay",m(x,r,"ay",T,e)),G.attr("transform",s(t,r)),I.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",m(y,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",m(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,"x",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,"y",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S("x",i),S("y",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",W(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){"use strict";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},c={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void D();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function D(){t.style("stroke-dasharray","0px,100px")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},79180:function(t,e,r){"use strict";var n=r(23816),i=r(42300);t.exports={moduleType:"component",name:"annotations",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)("annotations"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){"use 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a=Z._module.hoverPoints(et,Q,tt,$,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&nt.push(R(s,I))}else o.log("Unrecognized trace type in hover:",Z);if("closest"===I&&nt.length>rt&&(nt.splice(0,rt),ft=nt[0].distance),m&&0!==q&&0===nt.length){et.distance=q,et.index=!1;var f=Z._module.hoverPoints(et,Q,tt,"closest",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=q}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=("x"===xt||"y"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==q&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),q,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),q,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&"splom"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j("x",kt,c),j("y",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<At;Mt++)Ct(nt[Mt]);for(Mt=nt.length-1;Mt>At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(W=0;W<nt.length;W++){var zt=nt[W],Rt=y.makeEventData(zt,zt.trace,zt.cd);if(!1!==zt.hovertemplate){var 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S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var S=g[s],E=g[s+1],L=S[S.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;z<t.length&&void 0===(D=t[z][O]);z++);var R=q(r,v),F=R.top,B=R.width,N=R.height,j=void 0!==D&&A.distance<=e.hoverdistance&&("x"===a||"y"===a);if(j){var U,V,H=!0;for(U=0;U<t.length;U++)if(H&&void 0===t[U].zLabel&&(H=!1),V=t[U].hoverinfo||t[U].trace.hoverinfo){var G=Array.isArray(V)?V:V.split("+");if(-1===G.indexOf("all")&&-1===G.indexOf(a)){j=!1;break}}H&&(j=!1)}var W=d.selectAll("g.axistext").data(j?[0]:[]);W.enter().append("g").classed("axistext",!0),W.exit().remove();var Y={minX:0,maxX:0,minY:0,maxY:0};if(W.each((function(){var t=n.select(this),e=o.ensureSingle(t,"path","",(function(t){t.style({"stroke-width":"1px"})})),l=o.ensureSingle(t,"text","",(function(t){t.attr("data-notex",1)})),u=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(u),d=p.contrast(u),v={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:u,stroke:f}),l.text(D).call(h.font,v).call(c.positionText,0,0).call(c.convertToTspans,r),t.attr("transform","");var g,y,m=q(r,l.node());if("x"===a){var x="top"===E.side?"-":"";l.attr("text-anchor","middle").call(c.positionText,0,"top"===E.side?F-m.bottom-M-S:F-m.top+M+S),g=E._offset+(A.x0+A.x1)/2,y=L._offset+("top"===E.side?0:L._length);var b=m.width/2+S;g<b?(g=b,e.attr("d","M-"+(b-M)+",0L-"+(b-2*M)+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"Z")):g>i.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g<m.width+2*S+M){O="M-"+(M+S)+"-"+I+"h-"+(m.width-S)+"V"+I+"h"+(m.width-S)+"Z";var B=m.width-g+S;c.positionText(l,B,z),"end"===_&&l.selectAll("tspan").each((function(){var t=n.select(this),e=h.tester.append("text").text(t.text()).call(h.font,v),i=q(r,e.node());Math.round(i.width)<Math.round(m.width)&&t.attr("x",B-i.width),e.remove()}))}else c.positionText(l,C*(S+M),z),O=null;var N=i._topclips.selectAll("#"+R).data(O?[0]:[]);N.enter().append("clipPath").attr("id",R).append("path"),N.exit().remove(),N.select("path").attr("d",O),h.setClipUrl(l,O?R:null,r)}t.attr("transform",s(g,y))})),y.isUnifiedHover(a)){d.selectAll("g.hovertext").remove();var X=t.filter((function(t){return"none"!==t.hoverinfo}));if(0===X.length)return[];var Z=i.hoverlabel,K=Z.font,J={showlegend:!0,legend:{title:{text:D,font:K},font:K,bgcolor:Z.bgcolor,bordercolor:Z.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:"v"}},$={font:K};x(J,$,r._fullData);var Q=$.legend;Q.entries=[];for(var tt=0;tt<X.length;tt++){var et=X[tt];if("none"!==et.hoverinfo){var 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o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){"use strict";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(""!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o="~~i"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,"pie-like"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||"").length))}else g(b,_,m),v=Math.max(v,(x.name||"").length)}if(!f.length)return[];var T=!h||!l,k=[];for(a=0;a<f.length;a++){var A=c[f[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var 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n=r(24040),i=r(3400),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,u=s.legend.itemclick,c=s.legend.itemdoubleclick,f=s.legend.groupclick;if(1===r&&"toggle"===u&&"toggleothers"===c&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,"Double-click on legend to isolate one trace"),"long"),o=!1):o=!1,1===r?l=u:2===r&&(l=c),l){var h="togglegroup"===f,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var v=e._fullData,g=(s.shapes||[]).filter((function(t){return t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,"pie-like")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if("toggle"===l){var 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shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:y},c.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:y},c.resetViewSankey={name:"resetSankeyGroup",title:function(t){return u(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},c.toggleHover={name:"toggleHover",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},76052:function(t,e,r){"use strict";var n=r(44248),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},45460:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){"use strict";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var 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P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed("active",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},85984:function(t){"use 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e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var 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n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return"number"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return 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D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(P-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return e+F*t},D=0;D<I.length;D++)(z=I[D]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=B[r+1];else if(t<n.pmin)break}return(t-e)/F}}}if("match"!==f.rangemode){var N=u.r2l(f.range[0]),j=u.r2l(f.range[1])-N;l.d2pOppAxis=function(t){return(t-N)/j*l._height}}a.call(y,t,r,l).call(m,t,r,l).call(x,t,r,l).call(b,t,r,l,f).call(_,t,r,l).call(w,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select("rect."+v.slideBoxClassName).node(),l=t.select("rect."+v.grabAreaMinClassName).node(),u=t.select("rect."+v.grabAreaMaxClassName).node();t.on("mousedown",c),t.on("touchstart",c)}function c(){var 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d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select("rect."+v.maskMinOppAxisClassName).attr("x",h).attr("height",d).attr("width",p-h),t.select("rect."+v.maskMaxOppAxisClassName).attr("x",h).attr("y",g).attr("height",n._height-g).attr("width",p-h),t.select("rect."+v.slideBoxClassName).attr("y",d).attr("height",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select("g."+v.grabberMinClassName).attr("transform",s(m,y)),t.select("g."+v.grabberMaxClassName).attr("transform",s(x,y))}(a,0,r,l,u,f),"bottom"===r.side&&c.draw(t,r._id+"title",{propContainer:r,propName:r._name+".title",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:L+l._height+l._offsetShift+10+1.5*r.title.font.size,"text-anchor":"middle"}})})))}},97944:function(t,e,r){"use strict";var n=r(79811),i=r(72736),a=r(74636),o=r(84284).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var 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n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:"component",name:"rangeslider",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){"use strict";t.exports={_isSubplotObj:!0,rangemode:{valType:"enumerated",values:["auto","fixed","match"],dflt:"match",editType:"calc"},range:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},editType:"calc"}},93956:function(t,e,r){"use strict";var n=r(13916),i=r(52904).line,a=r(98192).u,o=r(92880).extendFlat,s=r(67824).overrideAll,l=r(31780).templatedArray;r(36208),t.exports=s(l("selection",{type:{valType:"enumerated",values:["rect","path"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:"any"},x1:{valType:"any"},y0:{valType:"any"},y1:{valType:"any"},path:{valType:"string",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:.7,editType:"arraydraw"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:"dot"})}}),"arraydraw","from-root")},83280:function(t){"use strict";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:"-select"}},74224:function(t,e,r){"use strict";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a("path"),u="path"!==a("type",l?"path":"rect");u&&delete e.path,a("opacity"),a("line.color"),a("line.width"),a("line.dash");for(var c=["x","y"],f=0;f<2;f++){var 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n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:"enumerated",values:["immediate","gradual"],dflt:"immediate",editType:"none"},line:{color:{valType:"color",editType:"none"},width:{valType:"number",min:1,dflt:1,editType:"none"},dash:i({},n,{dflt:"dot",editType:"none"}),editType:"none"},editType:"none"},activeselection:{fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none"},editType:"none"}}},81004:function(t){"use strict";t.exports=function(t,e,r){r("newselection.mode"),r("newselection.line.width")&&(r("newselection.line.color"),r("newselection.line.dash")),r("activeselection.fillcolor"),r("activeselection.opacity")}},5968:function(t,e,r){"use strict";var n=r(72760).selectMode,i=r(1936).clearOutline,a=r(9856),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var 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n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(".select-outline-"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call("_guiRelayout",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if("sankey"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,"regl")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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v="pixel"===h.xsizemode?h.xanchor:h.x0,g="pixel"===h.xsizemode?h.xanchor:h.x1;(f=c(u=i.getFromId(t,h.xref),v,g,h.path,a.paramIsX))&&(h._extremes[u._id]=i.findExtremes(u,f,s(h)))}if("paper"!==h.yref&&"domain"!==d){var y="pixel"===h.ysizemode?h.yanchor:h.y0,m="pixel"===h.ysizemode?h.yanchor:h.y1;(f=c(u=i.getFromId(t,h.yref),y,m,h.path,a.paramIsY))&&(h._extremes[u._id]=i.findExtremes(u,f,l(h)))}}}},85448:function(t){"use strict";t.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},43712:function(t,e,r){"use strict";var n=r(3400),i=r(54460),a=r(51272),o=r(46056),s=r(65152);function l(t,e,r){function 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n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?"paper":T._id,yref:M?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){"use strict";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){"use strict";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return 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s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&"paper"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&"paper"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var 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k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);z.exit().on(".drag",null).remove(),z.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var 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q=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on("drag",this._onBarDrag.bind(this));k&&this.hbar.on(".drag",null).call(q),C&&this.vbar.on(".drag",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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r=n.select(this),i=t._promises.length;r.call(u.positionText,p.xFn(e),p.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(u.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){m(r,d)}))):m(r,d)})),Ft(e,[F]),g.exit().remove(),r.repositionOnUpdate&&g.each((function(t){n.select(this).select("text").call(u.positionText,p.xFn(t),p.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&"allow"!==r){var i=-1!==r.indexOf("hide"),o="x"===e._id.charAt(0),l=0,u=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf("domain")){var c=s.simpleMap(e.range,e.r2l);l=e.l2p(c[0])+e._offset,u=e.l2p(c[1])+e._offset}var f=Math.min(l,u),p=Math.max(l,u),d=e.side,v=1/0,y=-1/0;for(var m in g.each((function(t){var r=n.select(this);if(r.select(".text-math-group").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var 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a,o=St(this);o.select(".text-math-group").empty()&&(e._vals[i]&&(a=e._vals[i].bb||h.bBox(o.node()),e._vals[i].bb=a),t=Math.max(t,a.width),r=Math.max(r,a.height))})),{labelsMaxW:t,labelsMaxH:r}},w=e._anchorAxis;if(w&&(w.autorange||w.insiderange)&&Rt(e)&&!X(a,e._id)&&(a._insideTickLabelsUpdaterange||(a._insideTickLabelsUpdaterange={}),w.autorange&&(a._insideTickLabelsUpdaterange[w._name+".autorange"]=w.autorange,b.push(_)),w.insiderange)){var T=_(),k="y"===e._id.charAt(0)?T.labelsMaxW:T.labelsMaxH;k+=6,"inside"===e.ticklabelposition&&(k+=e.ticklen||0);var A="right"===e.side||"top"===e.side?1:-1,M=1===A?1:0,S=1===A?0:1,E=[];E[S]=w.range[S];var L=w.range,C=w.d2p(L[M]),P=w.d2p(L[S]),O=a._insideTickLabelsUpdaterange[w._name+".range"];if(O){var B=w.d2p(O[M]),N=w.d2p(O[S]),j=A*("y"===e._id.charAt(0)?1:-1);j*C<j*B&&(C=B,E[M]=L[M]=O[M]),j*P>j*N&&(P=N,E[S]=L[S]=O[S])}var U=Math.abs(P-C);U-k>0?k*=1+k/(U-=k):k=0,"y"!==e._id.charAt(0)&&(k=-k),E[M]=w.p2d(w.d2p(L[M])+A*k),"min"===w.autorange||"max 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e=H.list(t,"",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(a.allowAutoMargin(t,Et(n)),n.mirror&&a.allowAutoMargin(t,Lt(n))),o.getComponentMethod("rangeslider","isVisible")(n)&&a.allowAutoMargin(t,Ct(n))}},H.swap=function(t,e){for(var r=function(t,e){var r,n,i=[];for(r=0;r<e.length;r++){var a=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<i.length;n++)-1===i[n].x.indexOf(o)&&-1===i[n].y.indexOf(s)||a.push(n);if(a.length){var l,u=i[a[0]];if(a.length>1)for(n=1;n<a.length;n++)l=i[a[n]],Pt(u.x,l.x),Pt(u.y,l.y);Pt(u.x,[o]),Pt(u.y,[s])}else i.push({x:[o],y:[s]})}}return i}(t,e),n=0;n<r.length;n++)Ot(t,r[n].x,r[n].y)}},52976:function(t,e,r){"use strict";var n=r(38248),i=r(3400),a=r(39032).BADNUM,o=i.isArrayOrTypedArray,s=i.isDateTime,l=i.cleanNumber,u=Math.round;function c(t,e){return e?n(t):"number"==typeof t}function f(t){return Math.max(1,(t-1)/1e3)}t.exports=function(t,e,r){var i=t,h=r.noMultiCategory;if(o(i)&&!i.length)return"-";if(!h&&function(t){return o(t[0])&&o(t[1])}(i))return"multicategory";if(h&&Array.isArray(i[0])){for(var p=[],d=0;d<i.length;d++)if(o(i[d]))for(var v=0;v<i[d].length;v++)p.push(i[d][v]);i=p}if(function(t,e){for(var r=t.length,i=f(r),a=0,o=0,l={},c=0;c<r;c+=i){var h=t[u(c)],p=String(h);l[p]||(l[p]=1,s(h,e)&&a++,n(h)&&o++)}return a>2*o}(i,e))return"date";var g="strict"!==r.autotypenumbers;return function(t,e){for(var r=t.length,n=f(r),i=0,o=0,s={},c=0;c<r;c+=n){var h=t[u(c)],p=String(h);if(!s[p]){s[p]=1;var d=typeof h;"boolean"===d?o++:(e?l(h)!==a:"number"===d)?i++:"string"===d&&o++}}return o>2*i}(i,g)?"category":function(t,e){for(var r=t.length,n=0;n<r;n++)if(c(t[n],e))return!0;return!1}(i,g)?"linear":"-"}},28336:function(t,e,r){"use strict";var n=r(38248),i=r(24040),a=r(3400),o=r(31780),s=r(51272),l=r(94724),u=r(26332),c=r(25404),f=r(95936),h=r(42568),p=r(22416),d=r(42136),v=r(96312),g=r(78344),y=r(33816).WEEKDAY_PATTERN,m=r(33816).HOUR_PATTERN;function x(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i("enabled")){var o=i("bounds");if(o&&o.length>=2){var s,u,c="";if(2===o.length)for(s=0;s<2;s++)if(u=_(o[s])){c=y;break}var f=i("pattern",c);if(f===y)for(s=0;s<2;s++)(u=_(o[s]))&&(e.bounds[s]=o[s]=u-1);if(f)for(s=0;s<2;s++)switch(u=o[s],f){case y:if(!n(u))return void(e.enabled=!1);if((u=+u)!==Math.floor(u)||u<0||u>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=u;break;case m:if(!n(u))return void(e.enabled=!1);if((u=+u)<0||u>24)return void(e.enabled=!1);e.bounds[s]=o[s]=u}if(!1===r.autorange){var h=r.range;if(h[0]<h[1]){if(o[0]<h[0]&&o[1]>h[1])return void(e.enabled=!1)}else if(o[0]>h[0]&&o[1]<h[1])return void(e.enabled=!1)}}else{var p=i("values");if(!p||!p.length)return void(e.enabled=!1);i("dvalue")}}}t.exports=function(t,e,r,n,m){var b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r("visible",!n.visibleDflt),A=e._template||{},M=e.type||A.type||"-";"date"===M&&(i.getComponentMethod("calendars","handleDefaults")(t,e,"calendar",n.calendar),n.noTicklabelmode||(b=r("ticklabelmode")));var S="";n.noTicklabelposition&&"multicategory"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:"period"===b?["outside","inside"]:"x"===_?["outside","inside","outside left","inside left","outside right","inside right"]:["outside","inside","outside top","inside top","outside bottom","inside bottom"]}},"ticklabelposition")),n.noTicklabeloverflow||r("ticklabeloverflow",-1!==S.indexOf("inside")?"hide past domain":"category"===M||"multicategory"===M?"allow":"hide past div"),g(e,m),v(t,e,r,n),p(t,e,r,n),"category"===M||n.noHover||r("hoverformat");var E=r("color"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r("title.text",C),a.coerceFont(r,"title.font",{family:w.family,size:a.bigFont(w.size),color:L}),u(t,e,r,M);var P=n.hasMinor;if(P&&(o.newContainer(e,"minor"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),P){var O=n.isMinor;n.isMinor=!0,c(t,e,r,n),n.isMinor=O}d(t,e,r,{dfltColor:E,bgColor:n.bgColor,showGrid:n.showGrid,hasMinor:P,attributes:l}),!P||e.minor.ticks||e.minor.showgrid||delete e.minor,(e.showline||e.ticks)&&r("mirror");var I,D="multicategory"===M;if(n.noTickson||"category"!==M&&!D||!e.ticks&&!e.showgrid||(D&&(I="boundaries"),"boundaries"===r("tickson",I)&&delete e.ticklabelposition),D&&r("showdividers")&&(r("dividercolor"),r("dividerwidth")),"date"===M)if(s(t,e,{name:"rangebreaks",inclusionAttr:"enabled",handleItemDefaults:x}),e.rangebreaks.length){for(var z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has("scattergl")||m._has("splom"))for(var R=0;R<n.data.length;R++){var F=n.data[R];"scattergl"!==F.type&&"splom"!==F.type||(F.visible=!1,a.warn(F.type+" traces do not work on axes with rangebreaks. 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u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case"pan":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){"use strict";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){"use strict";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},12536:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},86140:function(t,e,r){"use strict";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},64380:function(t,e,r){"use strict";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},44728:function(t,e,r){"use strict";var n=r(43080),i=r(3400),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){"use strict";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},9020:function(t,e,r){"use strict";var n=r(43080),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},94424:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){"use strict";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return 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t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("touchstart",(function(){w=!0})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,"path","maindrag",!1===t.dragmode?"none":"crosshair");n.select(F).attr("d",s.pathSubplot()).attr("transform",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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u,c,h,v=r[0].trace,g=i.numbersX,y=i.numbersY,T=v.align||"center",A=x[T],E=i.transitionOpts,L=i.onComplete,C=o.ensureSingle(e,"g","numbers"),P=[];v._hasNumber&&P.push("number"),v._hasDelta&&(P.push("delta"),"left"===v.delta.position&&P.reverse());var O=C.selectAll("text").data(P);function I(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace("s","f").replace(/\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append("text"),O.attr("text-anchor",(function(){return A})).attr("class",(function(t){return t})).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),O.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return 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v._deltaLastValue=e,function(e){t.text(u(c(e),s)),t.call(m.fill,h({delta:c(e)}))}})).each("end",(function(){y(),L&&L()})).each("interrupt",(function(){y(),L&&L()})):y(),c=M(u(l(r[0]),i),v.delta.font,A,t),g}(),z+=v.delta.position+v.delta.font.size+v.delta.font.family+v.delta.valueformat,z+=v.delta.increasing.symbol+v.delta.decreasing.symbol,h=c),v._hasNumber&&(function(){var e=k(t,{tickformat:v.number.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.number.suffix,s=v.number.prefix,l=C.select("text.number");function c(){var e="number"==typeof r[0].y?s+i(r[0].y)+o:"-";l.text(e).call(f.font,v.number.font).call(p.convertToTspans,t)}w(E)?l.transition().duration(E.duration).ease(E.easing).each("end",(function(){c(),L&&L()})).each("interrupt",(function(){c(),L&&L()})).attrTween("text",(function(){var t=n.select(this),e=a(r[0].lastY,r[0].y);v._lastValue=r[0].y;var l=I(v.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(s+l(e(r))+o)}})):c(),u=M(s+i(r[0].y)+o,v.number.font,A,t)}(),z+=v.number.font.size+v.number.font.family+v.number.valueformat+v.number.suffix+v.number.prefix,h=u),v._hasDelta&&v._hasNumber){var R,F,B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=[(c.left+c.right)/2,(c.top+c.bottom)/2],j=.75*v.delta.font.size;"left"===v.delta.position&&(R=S(v,"deltaPos",0,-1*(u.width*b[v.align]+c.width*(1-b[v.align])+j),z,Math.min),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:c.left+R,right:u.right,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),"right"===v.delta.position&&(R=S(v,"deltaPos",0,u.width*(1-b[v.align])+c.width*b[v.align]+j,z,Math.max),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:u.left,right:c.right+R,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),"bottom"===v.delta.position&&(R=null,F=c.height,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height,bottom:u.bottom+c.height}),"top"===v.delta.position&&(R=null,F=u.top,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height-c.height,bottom:u.bottom}),D.attr({dx:R,dy:F})}(v._hasNumber||v._hasDelta)&&C.attr("transform",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var W=I.selectAll("g.angular").data(z?e:[]);W.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var O=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=O(t);return Math.cos(e)*D},I.yFn=function(t){var e=O(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=O(t),r=Math.cos(e);return 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U,V,q,H=j.select("path");w(M)?(H.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll("g.threshold-arc").data(F);W.enter().append("g").classed("threshold-arc",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}(i=k(t,c.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],u=y.t+y.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,u,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,u)}));var C=[v].concat(c.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll("g.threshold-bullet").data(I);D.enter().append("g").classed("threshold-bullet",!0).append("line"),D.select("line").attr("x1",i.c2p(c.gauge.threshold.value)).attr("x2",i.c2p(c.gauge.threshold.value)).attr("y1",(1-c.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style("stroke-width",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll("g.gauge-outline").data([g]);z.enter().append("g").classed("gauge-outline",!0).append("rect"),z.select("rect").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var K=I.selectAll("text.title").data(e);K.exit().remove(),K.enter().append("text").classed("title",!0),K.attr("text-anchor",(function(){return 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll,c=t.exports=u(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},62624:function(t,e,r){"use strict";var n=r(47128),i=r(3832).processGrid,a=r(3832).filter;t.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var u=e._value[l];o=Math.min(o,u),s=Math.max(s,u)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},31460:function(t,e,r){"use strict";var n=r(67792).gl_mesh3d,i=r(33040).parseColorScale,a=r(3400).isArrayOrTypedArray,o=r(43080),s=r(8932).extractOpts,l=r(52094),u=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function 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S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],v+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(m.color)?T=w=m.color[_%m.color.length]:w=m.color,{color:y(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,v)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var O=P[b].containerInd,I=g[b].inds[x],D=P[b].categories;if(void 0===D[I]){var z=e.dimensions[O]._categoryarray[I],R=e.dimensions[O]._ticktext[I];D[I]={dimensionInd:b,categoryInd:C=I,categoryValue:z,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}c(D[I],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,v))}},76671:function(t,e,r){"use strict";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(72140),u=r(26284),c=r(38116).isTypedArraySpec;function f(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,u=n.isArrayOrTypedArray(s)&&s.length>0||c(s);u&&(o="array");var f=r("categoryorder",o);"array"===f?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),u||"array"!==f||(e.categoryorder="trace")}}t.exports=function(t,e,r,c){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:f}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 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a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=c.selectAll("g.trace.parcats").data(o,p),m=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),m.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on("mouseover",g).on("mouseout",y).on("click",b),m.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 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n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return 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a=y(e),o=a.trace,l=m.convertTypedArray(a.lineColor),u=o.line,c={color:s(o.unselected.line.color),opacity:o.unselected.line.opacity},f=p.extractOpts(u),h=f.reversescale?p.flipScale(a.cscale):a.cscale,d=o.domain,v=o.dimensions,g=t.width,b=o.labelangle,_=o.labelside,w=o.labelfont,T=o.tickfont,A=o.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(k({values:l,range:[f.min,f.max],_length:o._length}))),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),S=Math.floor(g*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=S,O=L;return{key:r,colCount:v.filter(m.isVisible).length,dimensions:v,tickDistance:x.tickDistance,unitToColor:E(h),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:T,rangeFont:A,layoutWidth:g,layoutHeight:t.height,domain:d,translateX:d.x[0]*g,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*x.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*x.canvasPixelRatio,width:P,height:O,canvasPixelRatio:x.canvasPixelRatio}}function 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r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,s=i[a]._ax;s&&(s.range?s.range=A(s.range[0],s.range[1]):s.range=T(o,n._length),s.dtick||(s.dtick=.01*(Math.abs(s.range[1]-s.range[0])||1)),s.tickformat=i[a].tickformat,l.calcTicks(s),s.cleanRange())}}(e);var M,S,E=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return y(t).trace.visible})).map(C.bind(0,r)).map(P.bind(0,E,a));d.each((function(t,e){return i.extendFlat(t,F[e])}));var B=d.selectAll(".gl-canvas").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=w,t.viewModel.paperColor=k,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style("pointer-events",o?"none":"auto").on("mousemove",(function(t){if(E.linePickActive()&&t.lineLayer&&a&&a.hover){var 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K=Y.selectAll("."+x.cn.axisExtentBottom).data(g,v);K.enter().append("g").classed(x.cn.axisExtentBottom,!0),K.attr("transform",(function(t){return c(0,t.model.height+x.axisExtentOffset)}));var J=K.selectAll("."+x.cn.axisExtentBottomText).data(g,v);J.enter().append("text").classed(x.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(O),J.text((function(t){return R(t,!1)})).each((function(t){h.font(n.select(this),t.model.rangeFont)})),b.ensureAxisBrush(q,k,t)}},24196:function(t,e,r){"use strict";var n=r(36336),i=r(5048),a=r(95724).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var 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n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o["_"+e.type+"colormap"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){"use strict";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},53644:function(t,e,r){"use strict";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){"use strict";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||""===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},75792:function(t,e,r){"use strict";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:"trace",name:"pie",basePlotModule:r(80036),categories:["pie-like","pie","showLegend"],meta:{}}},85204:function(t){"use strict";t.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},90248:function(t,e,r){"use strict";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},37820:function(t,e,r){"use strict";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c="funnelarea"===u.type;"_hasHoverLabel"in u||(u._hasHoverLabel=!1),"_hasHoverEvent"in u||(u._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,u=o.split("+"),c=function(t){return-1!==u.indexOf(t)},f=c("label"),h=c("text"),p=c("value"),d=c("percent"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}"snap"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&("tozerox"===y||"tonextx"===y&&(p||"h"===d))?m.tozero=!0:(e.error_y||{}).visible||"tonexty"!==y&&"tozeroy"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&("tozeroy"===y||"tonexty"===y&&(p||"v"===d))?x.tozero=!0:"tonextx"!==y&&"tozerox"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,"size"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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for(S=E(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;s.sizeAvg=C}else s.size=E(o&&o.size||10),s.borderSizes=E(o.line.width);return s}function _(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=b(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function w(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function T(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var k=v.SYMBOL_SDF_SIZE,A=v.SYMBOL_SIZE,M=v.SYMBOL_STROKE,S={},E=u.symbolFuncs[0](.05*A);function L(t,e){var r,n,a=t.mx;if("circle"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+="_"+t.ma),S[a])return S[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*A,h)+E:s(A,h),n=i(r,{w:k,h:k,viewBox:[-A,-A,A,A],stroke:c?M:-M}),S[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=x(t,e),n.textSel=w(t,e,e.selected),n.textUnsel=w(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=_(0,e,e.selected),n.markerUnsel=_(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(v.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=T(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=T(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:_,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?"rect":"round";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis,"x"),u=c.getFromId(t,e.yaxis,"y"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){"use strict";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g("xhoverformat"),g("yhoverformat");var b=x<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g("marker.line.width",y||m?1:0)),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,v,g),g("line.shape")),l.hasText(e)&&(g("texttemplate"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g("fill"),"none"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){"use strict";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){"use strict";var n=r(67072);e.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(44928);function 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g=d&&d.gradient;g&&"none"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i="x"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if("x"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){"use strict";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){"use strict";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,["ANGLE_instanced_arrays","OES_element_index_uint"],p)){var 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A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(6096),o=r(52904),s=r(5232),l=r(45464),u=r(49084),c=r(92880).extendFlat,f=r(67824).overrideAll,h=r(5232),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:"boolean"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:"number",arrayOk:!0,dflt:-1,min:-1},size:{valType:"number",arrayOk:!0,dflt:20,min:0},color:{valType:"color",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:"markers"}),text:c({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},59392:function(t,e,r){"use 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a.marker&&"auto"!==a.marker.angle&&i.extendFlat(P.layout,{"icon-rotate":{type:"identity",property:"angle"},"icon-rotation-alignment":"map"}),P.layout["icon-allow-overlap"]=a.marker.allowoverlap,i.extendFlat(P.paint,{"icon-opacity":a.opacity*a.marker.opacity,"icon-color":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{"text-size":a.textfont.size,"text-anchor":z.anchor,"text-offset":z.offset,"text-font":a.textfont.family.split(", ")}),i.extendFlat(P.paint,{"text-color":a.textfont.color,"text-opacity":a.opacity})}return O}},15752:function(t,e,r){"use strict";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=["Metropolis Black Italic","Metropolis Black","Metropolis Bold Italic","Metropolis Bold","Metropolis Extra Bold Italic","Metropolis Extra Bold","Metropolis Extra Light Italic","Metropolis Extra Light","Metropolis Light Italic","Metropolis Light","Metropolis Medium Italic","Metropolis Medium","Metropolis Regular 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v=e.marker;"circle"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h("connectgaps"));var g=p("cluster.maxzoom"),y=p("cluster.step"),m=p("cluster.color",e.marker&&e.marker.color||r),x=p("cluster.size"),b=p("cluster.opacity");h("cluster.enabled",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b),i.hasText(e)&&s(t,e,f,h,{noSelect:!0,font:{family:-1!==c.indexOf(f.font.family)?f.font.family:"Open Sans Regular",size:f.font.size,color:f.font.color}}),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){"use strict";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){"use strict";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){"use strict";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,u=[];return i||a&&s?u.push("("+c(l[1])+", "+c(l[0])+")"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf("text"))&&o(e,t,u),u.join("<br>")}function c(t){return t+"°"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+"-circle",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){"use strict";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),c),!c)return{positions:[],cells:[]};var v=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),y=d(e._Zs,"zaxis");if(f.meshgrid=[v,g,y],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var m=g[0],x=h(v),b=h(y),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],m,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(v),L=p(g),C=p(y),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],O=n(f,P),I=s(e);O.vertexIntensityBounds=[I.min/e._normMax,I.max/e._normMax];var D=e.lightposition;return O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},54304:function(t,e,r){"use strict";var n=r(3400),i=r(27260),a=r(90167);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),u=s("v"),c=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},15436:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"streamtube",basePlotModule:r(12536),categories:["gl3d","showLegend"],attributes:r(90167),supplyDefaults:r(54304),colorbar:{min:"cmin",max:"cmax"},calc:r(3832).calc,plot:r(25668),eventData:function(t,e){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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u=n.select(this),f=s.ensureSingle(u,"path","surface",(function(t){t.style("pointer-events",h?"none":"all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return 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if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr("transform",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split("+"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y("label")&&c.label&&m.push(c.label),c.hasOwnProperty("v")&&y("value")&&m.push(b.formatValue(c.v,l)),!h){y("current path")&&m.push(b.getPath(t.data));var x=0;y("percent parent")&&x++,y("percent entry")&&x++,y("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=" of "+t),m.push(v)};y("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),y("percent entry")&&(w=d/b.getValue(e),T("entry")),y("percent root")&&(w=d/b.getValue(f),T("root"))}}return y("text")&&(v=s.castOption(r,c.i,"text"),s.isValidTextValue(v)&&m.push(v)),m.join("<br>")}var k=s.castOption(r,c.i,"texttemplate");if(!k)return"";var A={};c.label&&(A.label=c.label),c.hasOwnProperty("v")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty("color")&&(A.color=c.color);var M=s.castOption(r,c.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){"use strict";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,"marker.line.color")||i.defaultLine,f=a.castOption(r,u,"marker.line.width")||0;t.call(s,e,r,n).style("stroke-width",f).call(i.stroke,c).style("opacity",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style("opacity",i.opacity),r.selectAll("path.surface").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){"use strict";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},56576:function(t,e,r){"use strict";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red 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fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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s=2*t,l=s*r,u=l,c=r,f=e,h=t+e,p=r;n>p;++p,l+=s){var d=i[l+f],v=i[l+h];if(d<o&&o<=v)if(c===p)c+=1,u+=s;else{for(var g=0;s>g;++g){var y=i[l+g];i[l+g]=i[u],i[u++]=y}var m=a[p];a[p]=a[c],a[c++]=m}}return c},"lo<=p0&&p0<=hi":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,u=l,c=r,f=e,h=t+e,p=r;n>p;++p,l+=s){var d=i[l+f],v=i[l+h];if(d<=o&&o<=v)if(c===p)c+=1,u+=s;else{for(var g=0;s>g;++g){var y=i[l+g];i[l+g]=i[u],i[u++]=y}var m=a[p];a[p]=a[c],a[c++]=m}}return c},"!(lo>=p0)&&!(p1>=hi)":function(t,e,r,n,i,a,o,s){for(var l=2*t,u=l*r,c=u,f=r,h=e,p=t+e,d=r;n>d;++d,u+=l){var v=i[u+h],g=i[u+p];if(!(v>=o||s>=g))if(f===d)f+=1,c+=l;else{for(var y=0;l>y;++y){var m=i[u+y];i[u+y]=i[c],i[c++]=m}var x=a[d];a[d]=a[f],a[f++]=x}}return f}}},309:function(t){"use strict";t.exports=function(t,n){n<=4*e?r(0,n-1,t):u(0,n-1,t)};var e=32;function r(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var 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t<e?-1:t>e?1:0}Object.defineProperty(f,"valid",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,"node",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error("Can't update empty node!");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var 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r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =     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HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=K[J[$]];C[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}for(Z=A.edges,K=A.positions,T=0;T<Z.length;++T)for(J=Z[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=K[J[$]],C[2*D]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*D+1]=V*(G*tt[0]+H*tt[1]+X[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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e=("property"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Bt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ze(r,["zoom","feature-state"]))return[new Bt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Ln(t[1],t[2],"=="):"!="===r?On(Ln(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Ln(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(En))):"all"===r?["all"].concat(t.slice(1).map(En)):"none"===r?["all"].concat(t.slice(1).map(En).map(On)):"in"===r?Cn(t[1],t.slice(2)):"!in"===r?On(Cn(t[1],t.slice(2))):"has"===r?Pn(t[1]):"!has"===r?On(Pn(t[1])):"within"!==r||t}function Ln(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(Mn)]]:["filter-in-small",t,["literal",e]]}}function Pn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function On(t){return["!",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if("array"!==Qr(e))return[new Bt(r,e,"array expected, "+Qr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,"filter array must have at least 1 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Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Bt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Bt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property "'+o+'"')];if("string"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&tn(Vt(a))&&"identity"===Ut(a.type)&&f.push(new Bt(r,a,'"text-font" does not support identity functions'))),f.concat(Hn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Rn(t){return zn(t,"paint")}function Fn(t){return zn(t,"layout")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either "type" or "ref" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var u=Ut(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ut(f.id)===u&&e.push(new Bt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Bt(n,r,'missing required property "source"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Hn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:In,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return"string"!==n?[new Bt(r,e,"string expected, "+n+" found")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+"."+i,value:r[i]}));return 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Yn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Xn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Yn(t.apply(this,e))}}Wn.source=Xn(Un),Wn.light=Xn(Vn),Wn.layer=Xn(Bn),Wn.filter=Xn(In),Wn.paintProperty=Xn(Rn),Wn.layoutProperty=Xn(Fn);var Zn=Wn,Kn=Zn.light,Jn=Zn.paintProperty,$n=Zn.layoutProperty;function Qn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new zt(new Error(a.message))),r=!0}return r}var ti=ri,ei=3;function ri(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[ei+a],s=i[ei+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[ei+n.length],u=i[ei+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}ri.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},ri.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},ri.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},ri.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},ri.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[ei+o]=a,i.set(s,a),a+=s.length}return i[ei+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[ei+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ni=s.ImageData,ii=s.ImageBitmap,ai={};function oi(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),ai[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var si in oi("Object",Object),ti.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},ti.deserialize=function(t){return new ti(t.buffer)},oi("Grid",ti),oi("Color",ue),oi("Error",Error),oi("ResolvedImage",pe),oi("StylePropertyFunction",vn),oi("StyleExpression",un,{omit:["_evaluator"]}),oi("ZoomDependentExpression",pn),oi("ZoomConstantExpression",hn),oi("CompoundExpression",Ee,{omit:["_evaluate"]}),qr)qr[si]._classRegistryKey||oi("Expression_"+si,qr[si]);function li(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function ui(t){return ii&&t instanceof ii}function ci(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(li(t)||ui(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ni)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ci(o,e))}return n}if("object"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error("can't serialize object of unregistered class");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ai[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ai[l].shallow.indexOf(c)>=0?f:ci(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(u.$name=l),u}throw new Error("can't serialize object of type "+typeof t)}function fi(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||li(t)||ui(t)||ArrayBuffer.isView(t)||t instanceof ni)return t;if(Array.isArray(t))return t.map(fi);if("object"==typeof t){var e=t.$name||"Object",r=ai[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=ai[e].shallow.indexOf(o)>=0?s:fi(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var hi=function(){this.first=!0};hi.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var pi={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and 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t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function di(t){for(var e=0,r=t;e<r.length;e+=1)if(vi(r[e].charCodeAt(0)))return!0;return!1}function vi(t){return!(746!==t&&747!==t&&(t<4352||!(pi["Bopomofo Extended"](t)||pi.Bopomofo(t)||pi["CJK Compatibility Forms"](t)&&!(t>=65097&&t<=65103)||pi["CJK Compatibility Ideographs"](t)||pi["CJK Compatibility"](t)||pi["CJK Radicals 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Syllables"](t)||pi["Yi Radicals"](t))))}function gi(t){return!(vi(t)||function(t){return!!(pi["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||pi["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||pi["Letterlike Symbols"](t)||pi["Number Forms"](t)||pi["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||pi["Control Pictures"](t)&&9251!==t||pi["Optical Character Recognition"](t)||pi["Enclosed Alphanumerics"](t)||pi["Geometric Shapes"](t)||pi["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||pi["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi["CJK Symbols and Punctuation"](t)||pi.Katakana(t)||pi["Private Use Area"](t)||pi["CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=ue.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return"constant"===this.value.kind},Ui.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Ui(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:"constant",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 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this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate($n,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof 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e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi("StructArrayLayout2i4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);oi("GlyphOffsetArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);oi("SymbolLineVertexArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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Float32Array(16),ro=function(t){function e(e,r){t.call(this,e,r),this.current=eo}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function no(t){return[Ra(255*t.r,255*t.g),Ra(255*t.b,255*t.a)]}var io=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};io.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},io.prototype.getBinding=function(t,e,r){return"color"===this.type?new to(t,e):new Ka(t,e)};var ao=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ao.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ao.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},ao.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Qa(t,e):new Ka(t,e)};var oo=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};oo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Di(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},oo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},oo.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=no(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},oo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Di(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Di(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification["property-type"],f="cross-faded"===c||"cross-faded-data-driven"===c;if("constant"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push("/u_"+i);else if("source"===s.kind||f){var h=ho(i,l,"source");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push("/a_"+i)}else{var p=ho(i,l,"composite");this.binders[i]=new so(s,o,l,u,e,p),n.push("/z_"+i)}}}this.cacheKey=n.sort().join("")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},uo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},uo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var co=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new uo(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function fo(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function ho(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:ma,composite:oa}},i=function(t){return{"line-pattern":{source:sa,composite:sa},"fill-pattern":{source:sa,composite:sa},"fill-extrusion-pattern":{source:sa,composite:sa}}[t]}(t);return i&&i[r]||n[e][r]}co.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},co.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},co.prototype.get=function(t){return this.programConfigurations[t]},co.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},co.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},oi("ConstantBinder",io),oi("CrossFadedConstantBinder",ao),oi("SourceExpressionBinder",oo),oi("CrossFadedCompositeBinder",lo),oi("CompositeExpressionBinder",so),oi("ProgramConfiguration",uo,{omit:["_buffers"]}),oi("ProgramConfigurationSet",co);var po=8192,vo=Math.pow(2,14)-1,go=-vo-1;function yo(t){for(var e=po/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a],s=Math.round(o.x*e),l=Math.round(o.y*e);o.x=f(s,go,vo),o.y=f(l,go,vo),(s<o.x||s>o.x+1||l<o.y||l>o.y+1)&&k("Geometry exceeds allowed extent, reduce your vector tile buffer size")}return r}function mo(t,e){return{type:t.type,id:t.id,properties:t.properties,geometry:e?yo(t):[]}}function xo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ra,this.indexArray=new va,this.segments=new za,this.programConfigurations=new co(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function _o(t,e){for(var r=0;r<t.length;r++)if(Co(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Co(t,e[n]))return!0;return!!Ao(t,e)}function wo(t,e,r){return!!Co(t,e)||!!So(e,t,r)}function To(t,e){if(1===t.length)return Lo(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Co(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Lo(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Ao(t,e[o]))return!0;return!1}function ko(t,e,r){if(t.length>1){if(Ao(t,e))return!0;for(var n=0;n<e.length;n++)if(So(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(So(t[i],e,r))return!0;return!1}function Ao(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(Mo(n,i,e[a],e[a+1]))return!0;return!1}function Mo(t,e,r,n){return A(t,r,n)!==A(e,r,n)&&A(t,e,r)!==A(t,e,n)}function So(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Eo(t,e[i-1],e[i])<n)return!0;return!1}function Eo(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function Lo(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Co(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Po(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=A(t,e,r[0]);return a!==A(t,e,r[1])||a!==A(t,e,r[2])||a!==A(t,e,r[3])}function Oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Io(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Do(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var u=t[l];s.push(u.sub(o))}return s}bo.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],u=l.feature,c=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d=mo(u,p);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),d,r)){var v=a?a.evaluate(d,{},r):void 0,g={id:c,properties:u.properties,type:u.type,sourceLayerIndex:h,index:f,geometry:p?d.geometry:yo(u),patterns:{},sortKey:v};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Da),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},bo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],u=l.x,c=l.y;if(!(u<0||u>=po||c<0||c>=po)){var 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t.id}))};Us.prototype.populate=function(t,e,r){this.hasPattern=Ns("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r,e.availableImages):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("fill",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Us.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Us.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Us.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Us.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Us.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,is),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},Us.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},Us.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],v=0,g=s;v<g.length;v+=1){var y=g[v];if(0!==y.length){y!==s[0]&&d.push(p.length/2);var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var 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Hi(Ft["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Gi(Ft["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var 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e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty("mapbox_clip_start")&&t.properties.hasOwnProperty("mapbox_clip_end"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},vl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6),this.lineClips){var c=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(c,this.lineClipsArray.length)}var f=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,f),o.primitiveLength++),i?this.e2=f:this.e1=f},vl.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},vl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},oi("LineBucket",vl,{omit:["layers","patternFeatures"]});var gl=new Xi({"line-cap":new qi(Ft.layout_line["line-cap"]),"line-join":new Hi(Ft.layout_line["line-join"]),"line-miter-limit":new qi(Ft.layout_line["line-miter-limit"]),"line-round-limit":new qi(Ft.layout_line["line-round-limit"]),"line-sort-key":new Hi(Ft.layout_line["line-sort-key"])}),yl={paint:new Xi({"line-opacity":new Hi(Ft.paint_line["line-opacity"]),"line-color":new Hi(Ft.paint_line["line-color"]),"line-translate":new qi(Ft.paint_line["line-translate"]),"line-translate-anchor":new qi(Ft.paint_line["line-translate-anchor"]),"line-width":new Hi(Ft.paint_line["line-width"]),"line-gap-width":new Hi(Ft.paint_line["line-gap-width"]),"line-offset":new Hi(Ft.paint_line["line-offset"]),"line-blur":new Hi(Ft.paint_line["line-blur"]),"line-dasharray":new Wi(Ft.paint_line["line-dasharray"]),"line-pattern":new Gi(Ft.paint_line["line-pattern"]),"line-gradient":new Yi(Ft.paint_line["line-gradient"])}),layout:gl},ml=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Di(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=p({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Hi),xl=new ml(yl.paint.properties["line-width"].specification);xl.useIntegerZoom=!0;var bl=function(t){function e(e){t.call(this,e,yl),this.gradientVersion=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){if("line-gradient"===t){var e=this._transitionablePaint._values["line-gradient"].value.expression;this.stepInterpolant=e._styleExpression.expression instanceof tr,this.gradientVersion=(this.gradientVersion+1)%l}},e.prototype.gradientExpression=function(){return this._transitionablePaint._values["line-gradient"].value.expression},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=xl.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new vl(t)},e.prototype.queryRadius=function(t){var e=t,r=_l(Oo("line-width",this,e),Oo("line-gap-width",this,e)),n=Oo("line-offset",this,e);return r/2+Math.abs(n)+Io(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Do(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),u=s/2*_l(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),c=this.paint.get("line-offset").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Co(t,i[a]))return!0;if(ko(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Ki);function _l(t,e){return e>0?e+2*t:t}var wl=ta([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Tl=ta([{name:"a_projected_pos",components:3,type:"Float32"}],4),kl=(ta([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),ta([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),Al=(ta([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),ta([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),Ml=ta([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);function Sl(t,e,r){return 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$o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi("ImagePosition",au),oi("ImageAtlas",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack="",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},fu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(cu.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},fu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(cu.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k("Reached maximum number of images 6401")}else k("Can't add FormattedSection with an empty image.")},fu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},du={};function vu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function gu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function yu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function mu(t,e,r,n,i,a){for(var o=null,s=gu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=gu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function xu(t){return t?xu(t.priorBreak).concat(t.index):[]}function bu(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=vu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("​")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(pu[p]||(c+=vu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(pi["Bopomofo Extended"](v)||pi.Bopomofo(v)||pi["CJK Compatibility Forms"](v)||pi["CJK Compatibility Ideographs"](v)||pi["CJK 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);oi("Anchor",ku);var Au=128;function Mu(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Di(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Di(s)),maxSize:r.evaluate(new Di(l)),interpolationType:i}}function Su(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/Au:"composite"===t.kind?er(a/Au,o/Au,i):n}function Eu(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var o=Ou(r,i,a),s=Iu(r,n)*a,l=0,u=Pu(t)/2,c=0;c<t.length-1;c++){var f=t[c],h=t[c+1],p=f.dist(h);if(l+p>u){var d=(u-l)/p,v=er(f.x,h.x,d),g=er(f.y,h.y,d),y=new ku(v,g,h.angleTo(f),c);return y._round(),!o||Cu(t,y,s,o,e)?y:void 0}l+=p}}function zu(t,e,r,n,i,a,o,s,l){var u=Ou(n,a,o),c=Iu(n,i),f=c*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),Ru(t,h?e/2*s%e:(c/2+2*a)*o*s%e,e,u,r,f,h,!1,l)}function Ru(t,e,r,n,i,a,o,s,l){for(var u=a/2,c=Pu(t),f=0,h=e-r,p=[],d=0;d<t.length-1;d++){for(var v=t[d],g=t[d+1],y=v.dist(g),m=g.angleTo(v);h+r<f+y;){var x=((h+=r)-f)/y,b=er(v.x,g.x,x),_=er(v.y,g.y,x);if(b>=0&&b<l&&_>=0&&_<l&&h-u>=0&&h+u<=c){var w=new ku(b,_,m,d);w._round(),n&&!Cu(t,w,a,n,i)||p.push(w)}}f+=y}return s||p.length||o||(p=Ru(t,f/2,r,n,i,a,o,!0,l)),p}function Fu(t,e,r,n,i){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],u=void 0,c=0;c<l.length-1;c++){var f=l[c],h=l[c+1];f.x<e&&h.x<e||(f.x<e?f=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=i&&h.y>=i||(f.y>=i?f=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round():h.y>=i&&(h=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round()),u&&f.equals(u[u.length-1])||(u=[f],o.push(u)),u.push(h)))))}return o}var Bu=iu;function Nu(t,e,r,n){var i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*Bu,u=o.paddedRect.h-2*Bu,c=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,u]],d=function(t,e){return t+e[1]-e[0]},v=h.reduce(d,0),g=p.reduce(d,0),y=l-v,m=u-g,x=0,b=v,_=0,w=g,T=0,k=y,A=0,M=m;if(o.content&&n){var S=o.content;x=ju(h,0,S[0]),_=ju(p,0,S[1]),b=ju(h,S[0],S[2]),w=ju(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Vu(n.stretch-x,b,c,t.left),p=qu(n.fixed-T,k,n.stretch,v),d=Vu(i.stretch-_,w,f,t.top),y=qu(i.fixed-A,M,i.stretch,g),m=Vu(l.stretch-x,b,c,t.left),S=qu(l.fixed-T,k,l.stretch,v),E=Vu(u.stretch-_,w,f,t.top),L=qu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Bu+j,y:o.paddedRect.y+Bu+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Uu(h,y,v),C=Uu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return t<e?-1:t>e?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;u<l.length;u++){var c=l[u];(!u||c.x<n)&&(n=c.x),(!u||c.y<i)&&(i=c.y),(!u||c.x>o)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;g<o;g+=p)for(var y=i;y<s;y+=p)v.push(new Zu(g+d,y+d,d,t));for(var m=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],u=i[s],c=l.x*u.y-u.x*l.y;r+=(l.x+u.x)*c,n+=(l.y+u.y)*c,e+=3*c}return new Zu(r/e,n/e,0,t)}(t),x=v.length;v.length;){var b=v.pop();(b.d>m.d||!m.d)&&(m=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new Zu(b.p.x-d,b.p.y-d,d,t)),v.push(new Zu(b.p.x+d,b.p.y-d,d,t)),v.push(new Zu(b.p.x-d,b.p.y+d,d,t)),v.push(new Zu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+m.d)),m.p}function Xu(t,e){return e.max-t.max}function Zu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var u=a[o],c=a[l];u.y>t.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,Eo(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gu.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gu.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gu.prototype.peek=function(){return this.data[0]},Gu.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,v=p.positionedGlyphs;d<v.length;d+=1){var g=v[d];if(g.rect){var y=g.rect||{},m=ru+1,x=!0,b=1,_=0,w=(i||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=(g.scale-1)*Ll,A=(Ll-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,b=M.pixelRatio,m=iu/b}var S=i?[g.x+T,g.y]:[0,0],E=i?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-m)*g.scale-T+E[0],P=(-g.metrics.top-m)*g.scale+E[1],O=C+y.w*g.scale/b,I=P+y.h*g.scale/b,D=new a(C,P),z=new a(O,P),R=new a(C,I),F=new a(O,I);if(w){var B=new a(-T,T-uu),N=-Math.PI/2,j=Ll/2-T,U=g.imageName?j:0,V=new a(5-uu-j,-U),q=new(Function.prototype.bind.apply(a,[null].concat(L)));D._rotateAround(N,B)._add(V)._add(q),z._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(u){var H=Math.sin(u),G=Math.cos(u),W=[G,-H,H,G];D._matMult(W),z._matMult(W),R._matMult(W),F._matMult(W)}var Y=new a(0,0),X=new a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;"source"===y.kind?(m=[Au*i.layout.get("text-size").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi("SymbolBuffers",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi("CollisionBuffers",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e["text-size"]),this.iconSizeData=Mu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.canOverlap=r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement"),this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi("SymbolBucket",hc,{omit:["layers","collisionBoxArray","features","compareText"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({"symbol-placement":new qi(Ft.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Ft.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Ft.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Hi(Ft.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new hn("source",s):new pn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({"background-color":new qi(Ft.paint_background["background-color"]),"background-pattern":new Wi(Ft.paint_background["background-pattern"]),"background-opacity":new qi(Ft.paint_background["background-opacity"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({"raster-opacity":new qi(Ft.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Ft.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Ft.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Ft.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Ft.paint_raster["raster-saturation"]),"raster-contrast":new qi(Ft.paint_raster["raster-contrast"]),"raster-resampling":new qi(Ft.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Ft.paint_raster["raster-fade-duration"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,"fill-extrusion":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Lc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi("CanonicalTileID",Vc),oi("OverscaledTileID",Hc,{omit:["posMatrix"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return k('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi("DEMData",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||"_geojsonTileLayer",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi("FeatureIndex",Jc,{omit:["rawTileData","sourceLayerCoder"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||"deferred"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=c,t.emitValidationErrors=Qn,t.endsWith=x,t.enforceCacheSizeLimit=function(t){dt(),rt&&rt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Su,t.evaluateSizeForZoom=Eu,t.evaluateVariableOffset=$u,t.evented=Ci,t.extend=p,t.featureFilter=An,t.filterObject=_,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=_u,t.getAnchorJustification=Qu,t.getArrayBuffer=Mt,t.getImage=Pt,t.getJSON=function(t,e){return At(p(t,{type:"json"}),e)},t.getRTLTextPluginStatus=Pi,t.getReferrer=Tt,t.getVideo=function(t,e){var r,n,i=s.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=s.document.createElement("source");r=t[a],n=void 0,(n=s.document.createElement("a")).href=r,n.protocol===s.document.location.protocol&&n.host===s.document.location.host||(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=Bo,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null},t.isChar=pi,t.isMapboxURL=Y,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=At,t.mapObject=b,t.mercatorXfromLng=Fc,t.mercatorYfromLat=Bc,t.mercatorZfromAltitude=Nc,t.mul=jo,t.multiply=No,t.mvt=tl,t.nextPowerOfTwo=function(t){return t<=1?1:Math.pow(2,Math.ceil(Math.log(t)/Math.LN2))},t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var 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g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n=r[e].charCodeAt(0),pi.Arabic(n)||pi["Arabic Supplement"](n)||pi["Arabic Extended-A"](n)||pi["Arabic Presentation Forms-A"](n)||pi["Arabic Presentation Forms-B"](n))return!1;var n;return!0}(g)?_:0,M=l.get("text-anchor").evaluate(a,{},o),S=l.get("text-variable-anchor");if(!S){var E=l.get("text-radial-offset").evaluate(a,{},o);v=E?$u(M,[E*Ll,Ju]):l.get("text-offset").evaluate(a,{},o).map((function(t){return t*Ll}))}var L=m?"center":l.get("text-justify").evaluate(a,{},o),C=l.get("symbol-placement"),P="point"===C?l.get("text-max-width").evaluate(a,{},o)*Ll:0,O=function(){t.allowVerticalPlacement&&di(g)&&(p.vertical=hu(d,e,r,i,s,P,y,M,"left",A,v,lu.vertical,!0,C,f,u))};if(!m&&S){for(var I="auto"===L?S.map((function(t){return Qu(t)})):[L],D=!1,z=0;z<I.length;z++){var R=I[z];if(!p.horizontal[R])if(D)p.horizontal[R]=p.horizontal[0];else{var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=yt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(yt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],u=0;u<a.geometry[s].length;u++)l.push(yt(a.geometry[s][u],e));i.push(l)}r.push(tt(a.id,o,i,a.tags))}return r}function yt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],u=l.geometry,c=l.type;if(l.geometry=[],1===c)for(n=0;n<u.length;n+=2)l.geometry.push(xt(u[n],u[n+1],e,a,o,s));else for(n=0;n<u.length;n++){var f=[];for(i=0;i<u[n].length;i+=2)f.push(xt(u[n][i],u[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)wt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. 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x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},q=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};q.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},q.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},q.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},q.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},q.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},He=t.pick(qt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(qt,["setCenter","setZoom","setBearing","setPitch"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event("data",{sourceDataType:"visibility",dataType:"source",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ze=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ke=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Je=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(" ");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push("#define OVERDRAW_INSPECTOR;");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join("\n"),m=g.concat(Ze.vertexSource,r.vertexSource).join("\n"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get("text-variable-anchor"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q="composite"===I.kind||"camera"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z="none"!==n.layout.get("icon-text-fit")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram("hillshadePrepare").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b="none"!==n.layout.get("icon-text-fit")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&un(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&un(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),nn(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:"lineProgress",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&"offscreen"===t.renderPass?dn(t,h,r,a,Et.disabled,o):"translucent"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add("boxZoom",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new xi;this._add("tapDragZoom",o);var s=e.touchPitch=new fi;this._add("touchPitch",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new gi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new pi;this._add("keyboard",v),this._add("blockableMapEvent",new Wn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+"start"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent("movestart",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent("move",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+"end"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event("moveend",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki("renderFrame",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x="number"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow",this._setElementTitle(e,"MapFeedback")}},Ei.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"visibility"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={"AttributionControl.ToggleAttribution":"Toggle attribution","AttributionControl.MapFeedback":"Map feedback","FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Oi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Oi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map"),this._canvas.setAttribute("role","region");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})),this._container.addEventListener("scroll",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("orientationchange",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute("aria-disabled",e.toString()),this._zoomOutButton.setAttribute("aria-disabled",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var a=r.createNS("http://www.w3.org/2000/svg","svg");a.setAttributeNS(null,"display","block"),a.setAttributeNS(null,"height","41px"),a.setAttributeNS(null,"width","27px"),a.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var u=0,c=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<c.length;u+=1){var f=c[u],h=r.createNS("http://www.w3.org/2000/svg","ellipse");h.setAttributeNS(null,"opacity","0.04"),h.setAttributeNS(null,"cx","10.5"),h.setAttributeNS(null,"cy","5.80029008"),h.setAttributeNS(null,"rx",f.rx),h.setAttributeNS(null,"ry",f.ry),l.appendChild(h)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var v=r.createNS("http://www.w3.org/2000/svg","g");v.setAttributeNS(null,"opacity","0.25"),v.setAttributeNS(null,"fill","#000000");var g=r.createNS("http://www.w3.org/2000/svg","path");g.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 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b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,"height",41*this._scale+"px"),a.setAttributeNS(null,"width",27*this._scale+"px"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return 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S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else 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u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:"Polygon",coordinates:[]}:1==c.length?{type:"Polygon",coordinates:c[0]}:{type:"MultiPolygon",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var 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t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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gl_PointSize;\n}\n"]),v&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}x.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if("number"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var 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n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Chæharshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Chæ","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),f=t-this.toJD(l,c,1)+1;return this.newDate(l,c,f)}}),n.calendars.persian=a,n.calendars.jalali=a},51456:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new 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t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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x,b,_,w="paper"===h("yref"),T="paper"===h("xref"),k="left";g?(_="middle",k=T?"left":"right",x=T?1.02:1,b=.5):(_=w?"bottom":"top",k="center",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:"number",min:T?-2:0,max:T?3:1,dflt:x}},"x"),n.coerce(f,c,{y:{valType:"number",min:w?-2:0,max:w?3:1,dflt:b}},"y"),h("xanchor",k),h("xpad"),h("yanchor",_),h("ypad"),n.noneOrAll(f,c,["x","y"]),h("outlinecolor"),h("outlinewidth"),h("bordercolor"),h("borderwidth"),h("bgcolor");var A=n.coerce(f,c,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:g?["outside","inside","outside top","inside top","outside bottom","inside bottom"]:["outside","inside","outside left","inside left","outside right","inside right"]}},"ticklabelposition");h("ticklabeloverflow",-1!==A.indexOf("inside")?"hide past domain":"hide past div"),a(f,c,h,"linear");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf("inside")&&(S.bgColor="black"),l(f,c,h,"linear",S),s(f,c,h,"linear",S),o(f,c,h,"linear",S),h("title.text",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,"title.font",L),h("title.side",g?"top":"right")}},37848:function(t,e,r){"use strict";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll("g."+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&m?"-"+m:""),e._traceIndex=n.index,e._propPrefix=(m?m+".":"")+"colorbar.",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,"rect",A.cbbg),u.ensureSingle(r,"g",A.cbfills),u.ensureSingle(r,"g",A.cblines),u.ensureSingle(r,"g",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,"g",A.cbtitleunshift,(function(t){t.append("g").classed(A.cbtitle,!0)})),u.ensureSingle(r,"rect",A.cboutline);var y=function(t,e,r){var o="v"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z="paper"===e.yref,R="paper"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent(("function"==typeof N?N:j.color).domain()),H="function"==typeof j.color?j.color:function(){return j.color},G="function"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*("fraction"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*("fraction"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i="v"===e.orientation,a={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:"y"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function 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a={propContainer:lt,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&("top"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),"bottom"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),"right"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+lt._id+"title-math-group").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,"top"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr("transform",c(h[0],h[1])),lt.setScale()}}else bt&&("right"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr("transform",c(h[0],h[1])),lt.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr("transform",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(X);m.enter().append("rect").classed(A.cbfill,!0).attr("style",""),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",rt).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var c=G(t).replace("e-","");l.attr("fill",i(c).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll("g."+lt._id+"tick,path").remove();var _=rt+K+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:"inside"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if("right"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,"bottom"===V&&(i=B.t+et*a+10+(-1===gt.indexOf("inside")?lt.tickfont.size:0)+("intside"!==lt.ticks&&e.ticklen||0)),"top"===V){var l=U.text.split("<br>").length;i=B.t+et*a+10-K-w*yt*l}_t((o?"h":"v")+lt._id+"title",{avoid:{selection:n.select(r).selectAll("g."+lt._id+"tick"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,"text-anchor":"middle"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=K+M/2;-1===gt.indexOf("inside")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select("text");var u=0,f=o&&"top"===V,v=!o&&"right"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(".h"+lt._id+"title-math-group").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||"top"!==V||(s+=n.height,g=n.height)),v&&(dt.attr("transform",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&"bottom"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),q=(o?st:rt)-(o?$:O+g-w);t.select("."+A.cbbg).attr("x",j).attr("y",q).attr(o?"width":"height",Math.max(b-w,2)).attr(o?"height":"width",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style("stroke-width",S);var H=v?Math.max(u-10,0):0;t.selectAll("."+A.cboutline).attr("x",(o?rt:st+P)+H).attr("y",(o?st+O-$:rt)+(f?xt:0)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max($-(o?2*O+xt:2*P+H),2)).call(d.stroke,e.outlinecolor).style({fill:"none","stroke-width":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr("transform",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll("text"),X=Y[0].length,Z=t.select("."+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute("transform","translate("+n+",0) "+this.getAttribute("transform")):this.setAttribute("visibility","hidden"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?("pixels"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),"pixels"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):("pixels"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),"pixels"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?"b":"t",pt=e.x<.5?"l":"r";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-q-W,t:q+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s="v"===e.orientation,u=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr("transform"),h(t)},moveFn:function(r,o){t.attr("transform",n+c(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/u.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/u.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+"x"]=i,n[e._propPrefix+"y"]=a,void 0!==e._traceIndex?o.call("_guiRestyle",r,n,e._traceIndex):o.call("_guiRelayout",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},90553:function(t,e,r){"use strict";var n=r(3400);t.exports=function(t){return n.isPlainObject(t.colorbar)}},55080:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"colorbar",attributes:r(42996),supplyDefaults:r(64013),draw:r(37848).draw,hasColorbar:r(90553)}},49084:function(t,e,r){"use strict";var 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a=Z._module.hoverPoints(et,Q,tt,$,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&nt.push(R(s,I))}else o.log("Unrecognized trace type in hover:",Z);if("closest"===I&&nt.length>rt&&(nt.splice(0,rt),ft=nt[0].distance),m&&0!==q&&0===nt.length){et.distance=q,et.index=!1;var f=Z._module.hoverPoints(et,Q,tt,"closest",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=q}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=("x"===xt||"y"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==q&&0!==nt.length){var _t=pt(nt.filter((function(t){return 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S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var S=g[s],E=g[s+1],L=S[S.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:"component",name:"fx",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:r(62376)}},65460:function(t,e,r){"use strict";var n=r(92456),i=r(25376),a=i({editType:"none"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,t.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y 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y=[r.r2l(r.range[0]),r.r2l(r.range[1])],m=[v*y[0]+g*y[1],v*y[1]+g*y[0]];c[p+".range[0]"]=r.l2r(m[0]),c[p+".range[1]"]=r.l2r(m[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=u._isHoriz?"y":"x",o.setAttribute("data-val",l)),c[s]=l;u._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,c)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),u=0;u<o.length;u++)s[o[u]+"."+l[1]]=a;var c="pan"===a?a:"zoom";s.dragmode=c,n.call("_guiRelayout",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute("data-attr"),i="resetLastSave"===r,a="resetDefault"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},u=0;u<s.length;u++){var 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f=c.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,u+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function y(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function m(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c="in"===r?1.05*u:u/1.05;o[l+".zoom"]=c}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}c.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return u(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(u(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(u(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(u(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(u(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},c.sendDataToCloud={name:"sendDataToCloud",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:"editInChartStudio",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},c.pan2d={name:"pan2d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},c.select2d={name:"select2d",_cat:"select",title:function(t){return u(t,"Box 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shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on 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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},76052:function(t,e,r){"use strict";var n=r(44248),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},45460:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){"use strict";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has("cartesian"),g=e._has("gl3d"),y=e._has("geo"),m=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed("active",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},85984:function(t){"use 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g=d("bgcolor");d("activecolor",i.contrast(g,l.lightAmount,l.darkAmount)),d("bordercolor"),d("borderwidth")}}},50216:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i,a;l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:"all"===i.step?"all":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr("transform",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_="left";l.isRightAnchor(r)&&(x-=f,_="right"),l.isCenterAnchor(r)&&(x-=f/2,_="center");var w="top";l.isBottomAnchor(r)&&(b-=h,w="bottom"),l.isMiddleAnchor(r)&&(b-=h/2,w="middle"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr("transform",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){"use strict";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if("all"===e.step)a[r+".autorange"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n["utc"+i(s)],u=e.count;switch(e.stepmode){case"backward":r=t.l2r(+l.offset(o,-u));break;case"todate":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+".range[0]"]=o[0],a[r+".range[1]"]=o[1]}return a}},41152:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){"use strict";var n=r(22548);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return"number"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return 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D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(P-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return e+F*t},D=0;D<I.length;D++)(z=I[D]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=B[r+1];else if(t<n.pmin)break}return(t-e)/F}}}if("match"!==f.rangemode){var N=u.r2l(f.range[0]),j=u.r2l(f.range[1])-N;l.d2pOppAxis=function(t){return(t-N)/j*l._height}}a.call(y,t,r,l).call(m,t,r,l).call(x,t,r,l).call(b,t,r,l,f).call(_,t,r,l).call(w,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select("rect."+v.slideBoxClassName).node(),l=t.select("rect."+v.grabAreaMinClassName).node(),u=t.select("rect."+v.grabAreaMaxClassName).node();t.on("mousedown",c),t.on("touchstart",c)}function c(){var 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u,c,f=o.selectAll(".select-outline-"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call("_guiRelayout",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if("sankey"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,"regl")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}function rt(t,e){for(var r,n,i=[],a=[],o=0;o<e.length;o++){var s=e[o];n=s._module.selectPoints(s,t),a.push(n),r=tt(n,s),i=i.concat(r)}return i}function nt(t,e,r,n,i){var a,o,s,l=!!n;i&&(a=i.plotinfo,o=i.xaxes[0]._id,s=i.yaxes[0]._id);var u=[],c=[],f=ot(t),h=t._fullLayout;if(a){var d=h._zoomlayer,g=h.dragmode,y=p(g),m=v(g);if(y||m){var x=C(t,o,"x"),b=C(t,s,"y");if(x&&b){var _=d.selectAll(".select-outline-"+a.id);if(_&&t._fullLayout._outlining&&_.length){for(var T=_[0][0].getAttribute("d"),k=w(T,t,a),A=[],M=0;M<k.length;M++){for(var S=k[M],E=[],L=0;L<S.length;L++)E.push([lt(x,S[L][1]),lt(b,S[L][2])]);E.xref=o,E.yref=s,E.subtract=st(E,A),A.push(E)}f=f.concat(A)}}}}var P=o&&s?[o+s]:h._subplots.cartesian;!function(t){var e=t.calcdata;if(e)for(var r=0;r<e.length;r++){var n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[])}}}(t);for(var O={},I=0;I<P.length;I++){var D=P[I],z=D.indexOf("y"),R=D.slice(0,z),F=D.slice(z),B=o&&s?r:void 0;if(B=at(f,R,F,B)){var N=n;if(!l){var j=C(t,R,"x"),U=C(t,F,"y");N=Z(t,[j],[U],D);for(var V=0;V<N.length;V++){var q=N[V],H=q.cd[0],G=H.trace;if("scattergl"===q._module.name&&!H.t.xpx){var W=G.x,Y=G.y,X=G._length;H.t.xpx=[],H.t.ypx=[];for(var K=0;K<X;K++)H.t.xpx[K]=j.c2p(W[K]),H.t.ypx[K]=U.c2p(Y[K])}"splom"===q._module.name&&(O[G.uid]||(O[G.uid]=!0))}}var J=rt(B,N);u=u.concat(J),c=c.concat(N)}}var Q={points:u};$(t,c,Q);var tt=h.clickmode.indexOf("event")>-1&&e;if(!a&&e){var et=ot(t,!0);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ut(et);ct([C(t,nt,"x"),C(t,pt,"y")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ft(t,Q),h._reselect=!1}if(!a&&h._deselect){var vt=h._deselect;(function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=Z(t,[C(t,e,"x")],[C(t,r,"y")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,"x"),m=C(t,d,"y");if("rect"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if("path"===s.type)for(var T=s.path.split("Z"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+="Z";var S=g.extractPathCoords(M,y.paramIsX,"raw"),E=g.extractPathCoords(M,y.paramIsY,"raw");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return"date"===t.type&&(e=e.replace("_"," ")),"log"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+"min"],c=r[l+"max"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit("plotly_selected",e)}function ht(t){t.emit("plotly_deselect",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w="drawcircle"===i,T="drawline"===i||w,k=n.gd,A=k._fullLayout,S=b&&"immediate"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt="M"+F+","+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll("path.select-outline-"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:"rgba(0,0,0,0)",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):"#7f7f7f");bt.enter().append("path").attr("class","select-outline 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Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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c&&(q.addPt([lt,pt]),K=q.filtered);if(n.selectionDefs&&n.selectionDefs.length?(X=Q(n.mergedPolygons,K,xt),K.subtract=xt,H=G(n.selectionDefs.concat([K]))):(X=[K],H=R(K)),m(et(X,y),bt,n),b){var u,f=nt(k,!1),h=f.eventData?f.eventData.points.slice():[];f=nt(k,!1,H,Et,n),H=f.selectionTesters,at=f.eventData,u=q?q.filtered:ut(X),L.throttle(Mt,I.SELECTDELAY,(function(){for(var t=(St=rt(H,Et)).slice(),e=0;e<h.length;e++){for(var r=h[e],n=!1,i=0;i<t.length;i++)if(t[i].curveNumber===r.curveNumber&&t[i].pointNumber===r.pointNumber){n=!0;break}n||t.push(r)}t.length&&(at||(at={}),at.points=t),Lt(at,u),function(t,e){t.emit("plotly_selecting",e)}(k,at)}))}},n.clickFn=function(t,e){if(kt.remove(),k._fullLayout._activeShapeIndex>=0)k._fullLayout._deactivateShape(k);else if(!x){var r=A.clickmode;L.done(Mt).then((function(){if(L.clear(Mt),2===t){for(bt.remove(),J=0;J<Et.length;J++)(tt=Et[J])._module.selectPoints(tt,!1);if($(k,Et),Y(n),ht(k),Et.length){var i=Et[0].xaxis,o=Et[0].yaxis;if(i&&o){for(var s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",k,{selections:s}))}}}else r.indexOf("select")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),"event"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){"use strict";var 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n=e.xref,i=e.yref,a=o.getFromId(r,n),s=o.getFromId(r,i),l="";"paper"===n||a.autorange||(l+=n),"paper"===i||s.autorange||(l+=i),h.setClipUrl(t,l?"clip"+r._fullLayout._uid+l:null,r)}(e,r,t),Q.moveFn="move"===z?et:rt,Q.altKey=n.altKey)},doneFn:function(){b(t)||(v(e),it(l),T(e,t,r),i.call("_guiRelayout",t,c.getUpdateObj()))},clickFn:function(){b(t)||it(l)}};function tt(r){if(b(t))z=null;else if(j)z="path"===r.target.tagName?"move":"start-point"===r.target.attributes["data-line-point"].value?"resize-over-start-point":"resize-over-end-point";else{var n=Q.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!U&&i>R&&a>F&&!r.shiftKey?d.getCursor(o/i,1-s/a):"move";v(e,l),z=l.split("-")[0]}}function et(n,i){if("path"===r.type){var a=function(t){return t},o=a,c=a;B?V("xanchor",r.xanchor=K(w+n)):(o=function(t){return K(X(t)+n)},H&&"date"===H.type&&(o=y.encodeDate(o))),N?V("yanchor",r.yanchor=J(A+i)):(c=function(t){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"));return t}},93940:function(t,e,r){"use strict";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?"paper":T._id,yref:M?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){"use strict";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){"use strict";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return 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o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?"domain"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?"domain"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},"path"===d)return y&&"date"===y.type&&(s=e.decodeDate(s)),m&&"date"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t="pixel"===o?e(l)+Number(t):e(t):h[a]&&(t="pixel"===s?r(u)-Number(t):r(t)),++a>p&&(t="X"),t}));return a>p&&(d=d.replace(/[\s,]*X.*/,""),i.log("Ignoring extra 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on("mousedown",l),t.on("touchstart",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit("plotly_sliderstart",{slider:t});var l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,"rect",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr("opacity",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,"rect",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll("g."+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append("g").classed(f.containerClassName,!0).style("cursor",e?null:"ew-resize"),s.exit().each((function(){n.select(this).selectAll("g."+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll("g."+f.groupClassName).data(a,y);u.enter().append("g").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){"use strict";var n=r(60876);t.exports={moduleType:"component",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:"").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;"title.text"===y?v="titleText":-1!==y.indexOf("axis")?v="axisTitleText":y.indexOf(!0)&&(v="colorbarTitleText");var I=t._context.edits[v];""===E?A=0:E.replace(d," % ")===m.replace(d," % 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});t.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:u,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},73712:function(t){"use 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l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&"buttons"!==o.type?[]:o.buttons,u="dropdown"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll("g."+u).data(s.filterVisible(l)),h=c.enter().append("g").classed(u,!0),p=c.exit();"dropdown"===o.type?(h.attr("opacity","0").transition().attr("opacity","1"),p.transition().attr("opacity","0").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==["up","down"].indexOf(o.direction);"dropdown"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),"dropdown"===o.type&&"up"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),"dropdown"===o.type&&"left"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=z(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=R(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[r,i,a]))return Promise.reject();r||i||o.isPlotDiv(t)||o.warn("Calling _doPlot as if redrawing but this container doesn't yet have a plot.",t),P(t,a),i||(i={}),n.select(t).classed("js-plotly-plot",!0),g.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(r);Array.isArray(r)&&(T.cleanData(r),f?t.data=r:t.data.push.apply(t.data,r),t.empty=!1),t.layout&&!f||(t.layout=T.cleanLayout(i)),h.supplyDefaults(t);var d=t._fullLayout,v=d._has("cartesian");d._replotting=!0,(f||d._shouldCreateBgLayer)&&(function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=lt,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(x.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var a=r._paper.append("g").classed("layer-below",!0);r._imageLowerLayer=a.append("g").classed("imagelayer",!0),r._shapeLowerLayer=a.append("g").classed("shapelayer",!0),r._cartesianlayer=r._paper.append("g").classed("cartesianlayer",!0),r._polarlayer=r._paper.append("g").classed("polarlayer",!0),r._smithlayer=r._paper.append("g").classed("smithlayer",!0),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._geolayer=r._paper.append("g").classed("geolayer",!0),r._funnelarealayer=r._paper.append("g").classed("funnelarealayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._iciclelayer=r._paper.append("g").classed("iciclelayer",!0),r._treemaplayer=r._paper.append("g").classed("treemaplayer",!0),r._sunburstlayer=r._paper.append("g").classed("sunburstlayer",!0),r._indicatorlayer=r._toppaper.append("g").classed("indicatorlayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0);var s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._selectionLayer=r._toppaper.append("g").classed("selectionlayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var _=o.extendFlat({},d._size),w=0;function A(){if(h.clearAutoMarginIds(t),k.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,"title.automargin"),d._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function M(){t._transitioning||(k.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod("rangeslider","calcAutorange")(t))}var S=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=d._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!d._glcanvas&&d._has("gl")&&(d._glcanvas=d._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),d._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(d._glcanvas){d._glcanvas.attr("width",d.width*i).attr("height",d.height*i).style("width",d.width+"px").style("height",d.height+"px");var a=d._glcanvas.data()[0].regl;if(a&&(Math.floor(d.width*i)!==a._gl.drawingBufferWidth||Math.floor(d.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!w)return o.log(s+" Clearing graph and plotting 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E(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),T.clearPromiseQueue(t);var u=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&u&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames}var v=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,P(t,i),v=st(g,t._context)}t.data=r||[],T.cleanData(t.data),t.layout=n||{},T.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,u,c,f,h,p,d,v,g=n._preGUI,y=[],m={},x={};for(i in g){if(c=et(i,Q)){if(d=c.head,v=c.tail,a=c.attr||d+".uirevision",(u=(l=s(n,a).get())&&rt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),at(p=(h=s(e,i)).get(),f)){void 0===p&&"autorange"===v&&y.push(d),h.set(B(s(n,i).get()));continue}if("autorange"===v||"range["===v.substr(0,6)){var 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y=t._fullData,m=t._fullLayout,x=void 0===m.datarevision,b=m.transition,_=function(t,e,r,n,i){var a=A.layoutFlags();return a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,ot(e,r,[],{getValObject:function(t){return f.getLayoutValObject(r,t)},flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some"),a}(t,p,m,x,b),w=_.newDataRevision,M=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,u=A.traceFlags();u.arrays={},u.nChanges=0,u.nChangesAnim=0;var c={getValObject:function(t){var 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if(M.fullReplot||_.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in _.arrays){var R=_.arrays[z];if(R.length){var F=c.getComponentMethod(z,"drawOne");if(F!==o.noop)for(var N=0;N<R.length;N++)F(t,R[N]);else{var j=c.getComponentMethod(z,"draw");if(j===o.noop)throw new Error("cannot draw components: "+z);j(t)}}}D.push(h.previousPromises),M.style&&D.push(k.doTraceStyle),(M.colorbars||_.colorbars)&&D.push(k.doColorBars),_.legend&&D.push(k.doLegend),_.layoutstyle&&D.push(k.layoutStyles),_.axrange&&G(D),_.ticks&&D.push(k.doTicksRelayout),_.modebar&&D.push(k.doModeBar),_.camera&&D.push(k.doCamera),D.push(E)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit("plotly_react",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return T.cleanData(t.data),T.cleanLayout(t.layout),t.calcdata=void 0,e._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},e.relayout=q,e.restyle=F,e.setPlotConfig=function(t){return o.extendFlat(_,t)},e.update=J,e._guiRelayout=$(q),e._guiRestyle=$(F),e._guiUpdate=$(J),e._storeDirectGUIEdit=function(t,e,r){for(var n in r)j(n,s(t,n).get(),r[n],e)}},20556:function(t){"use strict";var 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h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),v=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(v,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}H.autoTicks(l,f)}var g,y=l.dtick,m=H.tickIncrement(H.tickFirst(l),y,"reverse",a);if("number"==typeof y)m=function(t,e,r,n,a){var o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&"date"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for("M"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=H.tickIncrement(t,"M6","reverse")+1.5*M:a.exactMonths>.8?t=H.tickIncrement(t,"M1","reverse")+15.5*M:t-=S;var l=H.tickIncrement(t,r);if(l<=n)return 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?H.prepMinorTicks(R,t,e):H.prepTicks(R,e),"array"!==R.tickmode)if("sync"!==R.tickmode){var F=J(c),B=F[0],N=F[1],j=i(R.dtick),U="log"===a&&!(j||"L"===R.dtick.charAt(0)),V=H.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;"category"!==a&&"multicategory"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var q,G,W=null,Y=V;D&&(j?G=t.dtick:"date"===a?"string"==typeof t.dtick&&"M"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,q=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var X=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=H.tickIncrement(Y,X,!f,o))),D&&u&&(Y=H.tickIncrement(Y,X,!f,o),q--);f?Y>=N:Y<=N;Y=H.tickIncrement(Y,X,f,o)){if(D&&q++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===W)break;W=Y;var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it="y"===t._id.charAt(0),st=1;"auto"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text="",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=H.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=L&&a<=16||e>=E)t._tickround="M";else if(e>=C&&a<=19||e>=L)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}H.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick="M"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick="M"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=H.getTickFormat(t),u="period"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick="L"+dt(e,n,st)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},H.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,u,a);if("L"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if("D"===l){var c="D2"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick 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a,o=gt(t,e),l="array"===t.tickmode,u=r||l,c=t.type,f="category"===c?t.d2l_noadd:t.d2l;if(l&&s.isArrayOrTypedArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var v=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||H.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf("\n");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||"00:00:00"!==u&&"00:00"!==u?8===u.length&&(u=u.replace(/:00$/,"")):(u=l,l="")),l)if(r)"d"===a?u+=", "+l:u=l+(u?", "+u:"");else if(t._inCalcTicks&&t._prevDateHead===l){var 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O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf("select")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt("x")),at&&(F(J,r),Vt("y")),Wt([n,i,tt,et]),qt(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(K,0,e):"e"===it?e=p(K,1,-e):it||(e=0),"n"===at?r=p(J,1,r):"s"===at?r=p(J,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var 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n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:"zoom"})})),A=h.of(this,arguments),p++||A({type:"zoomstart"})})).on("zoomend",(function(){var r;n.select(this).style(u),d.call(a,"zoom",null),r=h.of(this,arguments),--p||r({type:"zoomend"}),f(t,e,y)})).on("zoom.redraw",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,h,"on")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){"use strict";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if("gl2d"===e){var c=r.match(i);o="x"+c[1],s="y"+c[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){"use strict";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case"pan":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){"use strict";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){"use strict";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},12536:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},86140:function(t,e,r){"use strict";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},64380:function(t,e,r){"use strict";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},44728:function(t,e,r){"use strict";var n=r(43080),i=r(3400),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){"use strict";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},9020:function(t,e,r){"use strict";var n=r(43080),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},94424:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){"use strict";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("touchstart",(function(){w=!0})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||"").split("+"),S=A&&"all"===A;_.hovertemplate||S||(-1===M.indexOf("x")&&(k.xLabel=void 0),-1===M.indexOf("y")&&(k.yLabel=void 0),-1===M.indexOf("z")&&(k.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(k.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+k.uLabel),k.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+k.vLabel),k.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+k.normLabel),"streamtube"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,"bgcolor")||c.color,borderColor:d.castHoverOption(_,T,"bordercolor"),fontFamily:d.castHoverOption(_,T,"font.family"),fontSize:d.castHoverOption(_,T,"font.size"),fontColor:d.castHoverOption(_,T,"font.color"),nameLength:d.castHoverOption(_,T,"namelength"),textAlign:d.castHoverOption(_,T,"align"),hovertemplate:f.castOption(_,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var M=["xaxis","yaxis","zaxis"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;"ErrorBars"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if("cube"===D)g=[1,1,1];else if("manual"===D){var 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f=c({},e.radialaxis,{_id:"x"}),h=e.angularaxis;s(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},70384:function(t,e,r){"use strict";var n=r(3400),i=r(85968).handleRThetaDefaults,a=r(55592),o=r(78100);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l("thetaunit"),l("base"),l("offset"),l("width"),l("text"),l("hovertext"),l("hovertemplate"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},68896:function(t,e,r){"use strict";var n=r(93024),i=r(3400),a=r(63400).getTraceColor,o=i.fillText,s=r(8504).makeHoverPointText,l=r(57384).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function 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t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr("transform",(function(t){return l(t.x,0)})),r(i).attr("transform",(function(t){return l(0,t.y)})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("x",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(49084),i=r(94724),a=r(25376),o=r(86968).u,s=r(92880).extendFlat,l=r(31780).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},71864:function(t,e,r){"use 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x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(m>=x[0]&&m<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(v).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){"use strict";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(19976),categories:["gl","regl","noOpacity","noHover"],meta:{}}},19976:function(t,e,r){"use strict";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},95044:function(t,e,r){"use strict";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){"use 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n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,"values",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,"labelfont",y),n.coerceFont(c,"tickfont",y),n.coerceFont(c,"rangefont",y),c("labelangle"),c("labelside"),c("unselected.line.color"),c("unselected.line.opacity")}},95724:function(t,e,r){"use strict";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!("visible"in t)}},29928:function(t,e,r){"use strict";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){"use strict";var n=r(26444),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(30140).maxDimensionCount,s=r(3400),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var 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r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:"src alpha",dstRGB:"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var 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c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var 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n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||""===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},75792:function(t,e,r){"use 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n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c="funnelarea"===u.type;"_hasHoverLabel"in u||(u._hasHoverLabel=!1),"_hasHoverEvent"in u||(u._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 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r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function 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r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle 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i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(94288).hasColorscale,i=r(47128),a=r(43028);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},88200:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},96664:function(t,e,r){"use strict";var n=r(16356),i=r(96376).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(21776).Ks,i=r(21776).Gw,a=r(52904),o=r(45464),s=r(49084),l=r(98192).u,u=r(92880).extendFlat,c=r(67824).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){"use strict";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){"use strict";var n=r(67072);e.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(44928);function 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){"use strict";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},31512:function(t,e,r){"use strict";var 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},424:function(t,e,r){"use strict";var n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var 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t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var 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n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var 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N=t.select("path.surface");h.styleOne(N,i,m,r,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:l||[f(i,m,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,r,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},78176:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(93972),o=r(69656);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(e.getPtId(o)===r)return 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n=r(33428),i=r(74148),a=r(67756).qy,o=r(43616),s=r(3400),l=r(72736),u=r(82744),c=u.recordMinTextSize,f=u.clearMinTextSize,h=r(37820),p=r(69656).getRotationAngle,d=h.computeTransform,v=h.transformInsideText,g=r(85676).styleOne,y=r(60100).resizeText,m=r(45716),x=r(27328),b=r(78176);function _(t,r,u,f){var h=t._context.staticPlot,y=t._fullLayout,_=!y.uniformtext.mode&&b.hasTransition(f),T=n.select(u).selectAll("g.slice"),k=r[0],A=k.trace,M=k.hierarchy,S=b.findEntryWithLevel(M,A.level),E=b.getMaxDepth(A),L=y._size,C=A.domain,P=L.w*(C.x[1]-C.x[0]),O=L.h*(C.y[1]-C.y[0]),I=.5*Math.min(P,O),D=k.cx=L.l+L.w*(C.x[1]+C.x[0])/2,z=k.cy=L.t+L.h*(1-C.y[0])-O/2;if(!S)return T.remove();var R=null,F={};_&&T.each((function(t){F[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&b.isEntry(t)&&(R=t)}));var B=function(t){return 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a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split("+"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y("label")&&c.label&&m.push(c.label),c.hasOwnProperty("v")&&y("value")&&m.push(b.formatValue(c.v,l)),!h){y("current path")&&m.push(b.getPath(t.data));var x=0;y("percent parent")&&x++,y("percent entry")&&x++,y("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=" of "+t),m.push(v)};y("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),y("percent entry")&&(w=d/b.getValue(e),T("entry")),y("percent root")&&(w=d/b.getValue(f),T("root"))}}return y("text")&&(v=s.castOption(r,c.i,"text"),s.isValidTextValue(v)&&m.push(v)),m.join("<br>")}var k=s.castOption(r,c.i,"texttemplate");if(!k)return"";var A={};c.label&&(A.label=c.label),c.hasOwnProperty("v")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty("color")&&(A.color=c.color);var M=s.castOption(r,c.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){"use strict";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},60192:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(27260),o=r(16716);function s(t,e,r,n){var i=n("opacityscale");"max"===i?e.opacityscale=[[0,.1],[1,1]]:"min"===i?e.opacityscale=[[0,1],[1,.1]]:"extremes"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}t.exports={supplyDefaults:function(t,e,r,u){var c,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),v=h("z");if(!v||!v.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?v.length:v[0].length,e._ylength=v.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],u),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),y=["x","y","z"];for(c=0;c<3;++c){var m="contours."+y[c],x=h(m+".show"),b=h(m+".highlight");if(x||b)for(f=0;f<3;++f)h(m+".project."+y[f]);x&&(h(m+".color"),h(m+".width"),h(m+".usecolormap")),b&&(h(m+".highlightcolor"),h(m+".highlightwidth")),h(m+".start"),h(m+".end"),h(m+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,u,h,{prefix:"",cLetter:"c"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){"use strict";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:r(56576),plot:r(79164),moduleType:"trace",name:"surface",basePlotModule:r(12536),categories:["gl3d","2dMap","showLegend"],meta:{}}},60520:function(t,e,r){"use strict";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 0},85852:function(t,e,r){"use strict";var n=r(84888)._M,i=r(24752),a="table";e.name=a,e.plot=function(t){var e=n(t.calcdata,a)[0];e.length&&i(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(a),o=e._has&&e._has(a);i&&!o&&n._paperdiv.selectAll(".table").remove()}},39312:function(t,e,r){"use strict";var n=r(71688).wrap;t.exports=function(){return n({})}},23536:function(t){"use strict";t.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\$.*\$$/,goldenRatio:1.618,lineBreaker:"<br>",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},55992:function(t,e,r){"use strict";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll("."+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){var 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=K[J[$]];C[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}for(Z=A.edges,K=A.positions,T=0;T<Z.length;++T)for(J=Z[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=K[J[$]],C[2*D]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*D+1]=V*(G*tt[0]+H*tt[1]+X[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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e=("property"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Bt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ze(r,["zoom","feature-state"]))return[new Bt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Ln(t[1],t[2],"=="):"!="===r?On(Ln(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Ln(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(En))):"all"===r?["all"].concat(t.slice(1).map(En)):"none"===r?["all"].concat(t.slice(1).map(En).map(On)):"in"===r?Cn(t[1],t.slice(2)):"!in"===r?On(Cn(t[1],t.slice(2))):"has"===r?Pn(t[1]):"!has"===r?On(Pn(t[1])):"within"!==r||t}function Ln(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(Mn)]]:["filter-in-small",t,["literal",e]]}}function Pn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function On(t){return["!",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if("array"!==Qr(e))return[new Bt(r,e,"array expected, "+Qr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,"filter array must have at least 1 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Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Bt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Bt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property "'+o+'"')];if("string"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&tn(Vt(a))&&"identity"===Ut(a.type)&&f.push(new Bt(r,a,'"text-font" does not support identity functions'))),f.concat(Hn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Rn(t){return zn(t,"paint")}function Fn(t){return zn(t,"layout")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either "type" or "ref" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var u=Ut(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ut(f.id)===u&&e.push(new Bt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Bt(n,r,'missing required property "source"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Hn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:In,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return"string"!==n?[new Bt(r,e,"string expected, "+n+" found")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+"."+i,value:r[i]}));return 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Yn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Xn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Yn(t.apply(this,e))}}Wn.source=Xn(Un),Wn.light=Xn(Vn),Wn.layer=Xn(Bn),Wn.filter=Xn(In),Wn.paintProperty=Xn(Rn),Wn.layoutProperty=Xn(Fn);var Zn=Wn,Kn=Zn.light,Jn=Zn.paintProperty,$n=Zn.layoutProperty;function Qn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new zt(new Error(a.message))),r=!0}return r}var ti=ri,ei=3;function ri(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[ei+a],s=i[ei+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[ei+n.length],u=i[ei+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}ri.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},ri.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},ri.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},ri.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},ri.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[ei+o]=a,i.set(s,a),a+=s.length}return i[ei+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[ei+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ni=s.ImageData,ii=s.ImageBitmap,ai={};function oi(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),ai[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var si in oi("Object",Object),ti.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},ti.deserialize=function(t){return new ti(t.buffer)},oi("Grid",ti),oi("Color",ue),oi("Error",Error),oi("ResolvedImage",pe),oi("StylePropertyFunction",vn),oi("StyleExpression",un,{omit:["_evaluator"]}),oi("ZoomDependentExpression",pn),oi("ZoomConstantExpression",hn),oi("CompoundExpression",Ee,{omit:["_evaluate"]}),qr)qr[si]._classRegistryKey||oi("Expression_"+si,qr[si]);function li(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function ui(t){return ii&&t instanceof ii}function ci(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(li(t)||ui(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ni)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ci(o,e))}return n}if("object"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error("can't serialize object of unregistered class");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ai[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ai[l].shallow.indexOf(c)>=0?f:ci(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(u.$name=l),u}throw new Error("can't serialize object of type "+typeof t)}function fi(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||li(t)||ui(t)||ArrayBuffer.isView(t)||t instanceof ni)return t;if(Array.isArray(t))return t.map(fi);if("object"==typeof t){var e=t.$name||"Object",r=ai[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=ai[e].shallow.indexOf(o)>=0?s:fi(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var hi=function(){this.first=!0};hi.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var pi={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and 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t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function di(t){for(var e=0,r=t;e<r.length;e+=1)if(vi(r[e].charCodeAt(0)))return!0;return!1}function vi(t){return!(746!==t&&747!==t&&(t<4352||!(pi["Bopomofo Extended"](t)||pi.Bopomofo(t)||pi["CJK Compatibility Forms"](t)&&!(t>=65097&&t<=65103)||pi["CJK Compatibility Ideographs"](t)||pi["CJK Compatibility"](t)||pi["CJK Radicals 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Syllables"](t)||pi["Yi Radicals"](t))))}function gi(t){return!(vi(t)||function(t){return!!(pi["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||pi["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||pi["Letterlike Symbols"](t)||pi["Number Forms"](t)||pi["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||pi["Control Pictures"](t)&&9251!==t||pi["Optical Character Recognition"](t)||pi["Enclosed Alphanumerics"](t)||pi["Geometric Shapes"](t)||pi["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||pi["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi["CJK Symbols and Punctuation"](t)||pi.Katakana(t)||pi["Private Use Area"](t)||pi["CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=ue.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return"constant"===this.value.kind},Ui.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Ui(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:"constant",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 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this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate($n,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof 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e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi("StructArrayLayout2i4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);oi("GlyphOffsetArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);oi("SymbolLineVertexArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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Float32Array(16),ro=function(t){function e(e,r){t.call(this,e,r),this.current=eo}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function no(t){return[Ra(255*t.r,255*t.g),Ra(255*t.b,255*t.a)]}var io=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};io.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},io.prototype.getBinding=function(t,e,r){return"color"===this.type?new to(t,e):new Ka(t,e)};var ao=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ao.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ao.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},ao.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Qa(t,e):new Ka(t,e)};var oo=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};oo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Di(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},oo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},oo.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=no(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},oo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Di(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Di(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification["property-type"],f="cross-faded"===c||"cross-faded-data-driven"===c;if("constant"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push("/u_"+i);else if("source"===s.kind||f){var h=ho(i,l,"source");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push("/a_"+i)}else{var p=ho(i,l,"composite");this.binders[i]=new so(s,o,l,u,e,p),n.push("/z_"+i)}}}this.cacheKey=n.sort().join("")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},uo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},uo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var co=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new uo(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function fo(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function ho(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:ma,composite:oa}},i=function(t){return{"line-pattern":{source:sa,composite:sa},"fill-pattern":{source:sa,composite:sa},"fill-extrusion-pattern":{source:sa,composite:sa}}[t]}(t);return i&&i[r]||n[e][r]}co.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},co.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},co.prototype.get=function(t){return this.programConfigurations[t]},co.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},co.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},oi("ConstantBinder",io),oi("CrossFadedConstantBinder",ao),oi("SourceExpressionBinder",oo),oi("CrossFadedCompositeBinder",lo),oi("CompositeExpressionBinder",so),oi("ProgramConfiguration",uo,{omit:["_buffers"]}),oi("ProgramConfigurationSet",co);var po=8192,vo=Math.pow(2,14)-1,go=-vo-1;function yo(t){for(var e=po/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a],s=Math.round(o.x*e),l=Math.round(o.y*e);o.x=f(s,go,vo),o.y=f(l,go,vo),(s<o.x||s>o.x+1||l<o.y||l>o.y+1)&&k("Geometry exceeds allowed extent, reduce your vector tile buffer size")}return r}function mo(t,e){return{type:t.type,id:t.id,properties:t.properties,geometry:e?yo(t):[]}}function xo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ra,this.indexArray=new va,this.segments=new za,this.programConfigurations=new co(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function _o(t,e){for(var r=0;r<t.length;r++)if(Co(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Co(t,e[n]))return!0;return!!Ao(t,e)}function wo(t,e,r){return!!Co(t,e)||!!So(e,t,r)}function To(t,e){if(1===t.length)return Lo(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Co(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Lo(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Ao(t,e[o]))return!0;return!1}function ko(t,e,r){if(t.length>1){if(Ao(t,e))return!0;for(var n=0;n<e.length;n++)if(So(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(So(t[i],e,r))return!0;return!1}function Ao(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(Mo(n,i,e[a],e[a+1]))return!0;return!1}function Mo(t,e,r,n){return A(t,r,n)!==A(e,r,n)&&A(t,e,r)!==A(t,e,n)}function So(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Eo(t,e[i-1],e[i])<n)return!0;return!1}function Eo(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function Lo(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Co(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Po(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=A(t,e,r[0]);return a!==A(t,e,r[1])||a!==A(t,e,r[2])||a!==A(t,e,r[3])}function Oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Io(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Do(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var u=t[l];s.push(u.sub(o))}return s}bo.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],u=l.feature,c=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d=mo(u,p);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),d,r)){var v=a?a.evaluate(d,{},r):void 0,g={id:c,properties:u.properties,type:u.type,sourceLayerIndex:h,index:f,geometry:p?d.geometry:yo(u),patterns:{},sortKey:v};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Da),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},bo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],u=l.x,c=l.y;if(!(u<0||u>=po||c<0||c>=po)){var 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t.id}))};Us.prototype.populate=function(t,e,r){this.hasPattern=Ns("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r,e.availableImages):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("fill",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Us.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Us.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Us.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Us.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Us.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,is),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},Us.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},Us.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],v=0,g=s;v<g.length;v+=1){var y=g[v];if(0!==y.length){y!==s[0]&&d.push(p.length/2);var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var 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Hi(Ft["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Gi(Ft["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var 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e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty("mapbox_clip_start")&&t.properties.hasOwnProperty("mapbox_clip_end"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},vl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6),this.lineClips){var c=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(c,this.lineClipsArray.length)}var f=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,f),o.primitiveLength++),i?this.e2=f:this.e1=f},vl.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},vl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},oi("LineBucket",vl,{omit:["layers","patternFeatures"]});var gl=new Xi({"line-cap":new qi(Ft.layout_line["line-cap"]),"line-join":new Hi(Ft.layout_line["line-join"]),"line-miter-limit":new qi(Ft.layout_line["line-miter-limit"]),"line-round-limit":new qi(Ft.layout_line["line-round-limit"]),"line-sort-key":new Hi(Ft.layout_line["line-sort-key"])}),yl={paint:new Xi({"line-opacity":new Hi(Ft.paint_line["line-opacity"]),"line-color":new Hi(Ft.paint_line["line-color"]),"line-translate":new qi(Ft.paint_line["line-translate"]),"line-translate-anchor":new qi(Ft.paint_line["line-translate-anchor"]),"line-width":new Hi(Ft.paint_line["line-width"]),"line-gap-width":new Hi(Ft.paint_line["line-gap-width"]),"line-offset":new Hi(Ft.paint_line["line-offset"]),"line-blur":new Hi(Ft.paint_line["line-blur"]),"line-dasharray":new Wi(Ft.paint_line["line-dasharray"]),"line-pattern":new Gi(Ft.paint_line["line-pattern"]),"line-gradient":new Yi(Ft.paint_line["line-gradient"])}),layout:gl},ml=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Di(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=p({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Hi),xl=new ml(yl.paint.properties["line-width"].specification);xl.useIntegerZoom=!0;var bl=function(t){function e(e){t.call(this,e,yl),this.gradientVersion=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){if("line-gradient"===t){var e=this._transitionablePaint._values["line-gradient"].value.expression;this.stepInterpolant=e._styleExpression.expression instanceof tr,this.gradientVersion=(this.gradientVersion+1)%l}},e.prototype.gradientExpression=function(){return this._transitionablePaint._values["line-gradient"].value.expression},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=xl.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new vl(t)},e.prototype.queryRadius=function(t){var e=t,r=_l(Oo("line-width",this,e),Oo("line-gap-width",this,e)),n=Oo("line-offset",this,e);return r/2+Math.abs(n)+Io(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Do(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),u=s/2*_l(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),c=this.paint.get("line-offset").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Co(t,i[a]))return!0;if(ko(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Ki);function _l(t,e){return e>0?e+2*t:t}var wl=ta([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Tl=ta([{name:"a_projected_pos",components:3,type:"Float32"}],4),kl=(ta([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),ta([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),Al=(ta([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),ta([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),Ml=ta([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);function Sl(t,e,r){return 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$o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi("ImagePosition",au),oi("ImageAtlas",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack="",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},fu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(cu.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},fu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(cu.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k("Reached maximum number of images 6401")}else k("Can't add FormattedSection with an empty image.")},fu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},du={};function vu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function gu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function yu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function mu(t,e,r,n,i,a){for(var o=null,s=gu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=gu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function xu(t){return t?xu(t.priorBreak).concat(t.index):[]}function bu(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=vu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("​")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(pu[p]||(c+=vu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(pi["Bopomofo Extended"](v)||pi.Bopomofo(v)||pi["CJK Compatibility Forms"](v)||pi["CJK Compatibility Ideographs"](v)||pi["CJK 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);oi("Anchor",ku);var Au=128;function Mu(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Di(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Di(s)),maxSize:r.evaluate(new Di(l)),interpolationType:i}}function Su(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/Au:"composite"===t.kind?er(a/Au,o/Au,i):n}function Eu(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var o=Ou(r,i,a),s=Iu(r,n)*a,l=0,u=Pu(t)/2,c=0;c<t.length-1;c++){var f=t[c],h=t[c+1],p=f.dist(h);if(l+p>u){var d=(u-l)/p,v=er(f.x,h.x,d),g=er(f.y,h.y,d),y=new ku(v,g,h.angleTo(f),c);return y._round(),!o||Cu(t,y,s,o,e)?y:void 0}l+=p}}function zu(t,e,r,n,i,a,o,s,l){var u=Ou(n,a,o),c=Iu(n,i),f=c*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),Ru(t,h?e/2*s%e:(c/2+2*a)*o*s%e,e,u,r,f,h,!1,l)}function Ru(t,e,r,n,i,a,o,s,l){for(var u=a/2,c=Pu(t),f=0,h=e-r,p=[],d=0;d<t.length-1;d++){for(var v=t[d],g=t[d+1],y=v.dist(g),m=g.angleTo(v);h+r<f+y;){var x=((h+=r)-f)/y,b=er(v.x,g.x,x),_=er(v.y,g.y,x);if(b>=0&&b<l&&_>=0&&_<l&&h-u>=0&&h+u<=c){var w=new ku(b,_,m,d);w._round(),n&&!Cu(t,w,a,n,i)||p.push(w)}}f+=y}return s||p.length||o||(p=Ru(t,f/2,r,n,i,a,o,!0,l)),p}function Fu(t,e,r,n,i){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],u=void 0,c=0;c<l.length-1;c++){var f=l[c],h=l[c+1];f.x<e&&h.x<e||(f.x<e?f=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=i&&h.y>=i||(f.y>=i?f=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round():h.y>=i&&(h=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round()),u&&f.equals(u[u.length-1])||(u=[f],o.push(u)),u.push(h)))))}return o}var Bu=iu;function Nu(t,e,r,n){var i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*Bu,u=o.paddedRect.h-2*Bu,c=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,u]],d=function(t,e){return t+e[1]-e[0]},v=h.reduce(d,0),g=p.reduce(d,0),y=l-v,m=u-g,x=0,b=v,_=0,w=g,T=0,k=y,A=0,M=m;if(o.content&&n){var S=o.content;x=ju(h,0,S[0]),_=ju(p,0,S[1]),b=ju(h,S[0],S[2]),w=ju(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Vu(n.stretch-x,b,c,t.left),p=qu(n.fixed-T,k,n.stretch,v),d=Vu(i.stretch-_,w,f,t.top),y=qu(i.fixed-A,M,i.stretch,g),m=Vu(l.stretch-x,b,c,t.left),S=qu(l.fixed-T,k,l.stretch,v),E=Vu(u.stretch-_,w,f,t.top),L=qu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Bu+j,y:o.paddedRect.y+Bu+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Uu(h,y,v),C=Uu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return t<e?-1:t>e?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;u<l.length;u++){var c=l[u];(!u||c.x<n)&&(n=c.x),(!u||c.y<i)&&(i=c.y),(!u||c.x>o)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;g<o;g+=p)for(var y=i;y<s;y+=p)v.push(new Zu(g+d,y+d,d,t));for(var m=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],u=i[s],c=l.x*u.y-u.x*l.y;r+=(l.x+u.x)*c,n+=(l.y+u.y)*c,e+=3*c}return new Zu(r/e,n/e,0,t)}(t),x=v.length;v.length;){var b=v.pop();(b.d>m.d||!m.d)&&(m=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new Zu(b.p.x-d,b.p.y-d,d,t)),v.push(new Zu(b.p.x+d,b.p.y-d,d,t)),v.push(new Zu(b.p.x-d,b.p.y+d,d,t)),v.push(new Zu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+m.d)),m.p}function Xu(t,e){return e.max-t.max}function Zu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var u=a[o],c=a[l];u.y>t.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,Eo(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gu.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gu.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gu.prototype.peek=function(){return this.data[0]},Gu.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,v=p.positionedGlyphs;d<v.length;d+=1){var g=v[d];if(g.rect){var y=g.rect||{},m=ru+1,x=!0,b=1,_=0,w=(i||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=(g.scale-1)*Ll,A=(Ll-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,b=M.pixelRatio,m=iu/b}var S=i?[g.x+T,g.y]:[0,0],E=i?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-m)*g.scale-T+E[0],P=(-g.metrics.top-m)*g.scale+E[1],O=C+y.w*g.scale/b,I=P+y.h*g.scale/b,D=new a(C,P),z=new a(O,P),R=new a(C,I),F=new a(O,I);if(w){var B=new a(-T,T-uu),N=-Math.PI/2,j=Ll/2-T,U=g.imageName?j:0,V=new a(5-uu-j,-U),q=new(Function.prototype.bind.apply(a,[null].concat(L)));D._rotateAround(N,B)._add(V)._add(q),z._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(u){var H=Math.sin(u),G=Math.cos(u),W=[G,-H,H,G];D._matMult(W),z._matMult(W),R._matMult(W),F._matMult(W)}var Y=new a(0,0),X=new a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;"source"===y.kind?(m=[Au*i.layout.get("text-size").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi("SymbolBuffers",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi("CollisionBuffers",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e["text-size"]),this.iconSizeData=Mu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.canOverlap=r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement"),this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi("SymbolBucket",hc,{omit:["layers","collisionBoxArray","features","compareText"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({"symbol-placement":new qi(Ft.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Ft.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Ft.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Hi(Ft.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new hn("source",s):new pn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({"background-color":new qi(Ft.paint_background["background-color"]),"background-pattern":new Wi(Ft.paint_background["background-pattern"]),"background-opacity":new qi(Ft.paint_background["background-opacity"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({"raster-opacity":new qi(Ft.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Ft.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Ft.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Ft.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Ft.paint_raster["raster-saturation"]),"raster-contrast":new qi(Ft.paint_raster["raster-contrast"]),"raster-resampling":new qi(Ft.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Ft.paint_raster["raster-fade-duration"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,"fill-extrusion":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Lc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi("CanonicalTileID",Vc),oi("OverscaledTileID",Hc,{omit:["posMatrix"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return k('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi("DEMData",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||"_geojsonTileLayer",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi("FeatureIndex",Jc,{omit:["rawTileData","sourceLayerCoder"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||"deferred"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=c,t.emitValidationErrors=Qn,t.endsWith=x,t.enforceCacheSizeLimit=function(t){dt(),rt&&rt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Su,t.evaluateSizeForZoom=Eu,t.evaluateVariableOffset=$u,t.evented=Ci,t.extend=p,t.featureFilter=An,t.filterObject=_,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=_u,t.getAnchorJustification=Qu,t.getArrayBuffer=Mt,t.getImage=Pt,t.getJSON=function(t,e){return At(p(t,{type:"json"}),e)},t.getRTLTextPluginStatus=Pi,t.getReferrer=Tt,t.getVideo=function(t,e){var r,n,i=s.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=s.document.createElement("source");r=t[a],n=void 0,(n=s.document.createElement("a")).href=r,n.protocol===s.document.location.protocol&&n.host===s.document.location.host||(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=Bo,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null},t.isChar=pi,t.isMapboxURL=Y,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=At,t.mapObject=b,t.mercatorXfromLng=Fc,t.mercatorYfromLat=Bc,t.mercatorZfromAltitude=Nc,t.mul=jo,t.multiply=No,t.mvt=tl,t.nextPowerOfTwo=function(t){return t<=1?1:Math.pow(2,Math.ceil(Math.log(t)/Math.LN2))},t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var 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g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n=r[e].charCodeAt(0),pi.Arabic(n)||pi["Arabic Supplement"](n)||pi["Arabic Extended-A"](n)||pi["Arabic Presentation Forms-A"](n)||pi["Arabic Presentation Forms-B"](n))return!1;var n;return!0}(g)?_:0,M=l.get("text-anchor").evaluate(a,{},o),S=l.get("text-variable-anchor");if(!S){var E=l.get("text-radial-offset").evaluate(a,{},o);v=E?$u(M,[E*Ll,Ju]):l.get("text-offset").evaluate(a,{},o).map((function(t){return t*Ll}))}var L=m?"center":l.get("text-justify").evaluate(a,{},o),C=l.get("symbol-placement"),P="point"===C?l.get("text-max-width").evaluate(a,{},o)*Ll:0,O=function(){t.allowVerticalPlacement&&di(g)&&(p.vertical=hu(d,e,r,i,s,P,y,M,"left",A,v,lu.vertical,!0,C,f,u))};if(!m&&S){for(var I="auto"===L?S.map((function(t){return Qu(t)})):[L],D=!1,z=0;z<I.length;z++){var R=I[z];if(!p.horizontal[R])if(D)p.horizontal[R]=p.horizontal[0];else{var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=yt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(yt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],u=0;u<a.geometry[s].length;u++)l.push(yt(a.geometry[s][u],e));i.push(l)}r.push(tt(a.id,o,i,a.tags))}return r}function yt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],u=l.geometry,c=l.type;if(l.geometry=[],1===c)for(n=0;n<u.length;n+=2)l.geometry.push(xt(u[n],u[n+1],e,a,o,s));else for(n=0;n<u.length;n++){var f=[];for(i=0;i<u[n].length;i+=2)f.push(xt(u[n][i],u[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)wt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. 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x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},q=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};q.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},q.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},q.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},q.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},q.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},He=t.pick(qt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(qt,["setCenter","setZoom","setBearing","setPitch"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event("data",{sourceDataType:"visibility",dataType:"source",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ze=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ke=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Je=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(" ");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push("#define OVERDRAW_INSPECTOR;");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join("\n"),m=g.concat(Ze.vertexSource,r.vertexSource).join("\n"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get("text-variable-anchor"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q="composite"===I.kind||"camera"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z="none"!==n.layout.get("icon-text-fit")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram("hillshadePrepare").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b="none"!==n.layout.get("icon-text-fit")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&un(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&un(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),nn(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:"lineProgress",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&"offscreen"===t.renderPass?dn(t,h,r,a,Et.disabled,o):"translucent"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add("boxZoom",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new xi;this._add("tapDragZoom",o);var s=e.touchPitch=new fi;this._add("touchPitch",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new gi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new pi;this._add("keyboard",v),this._add("blockableMapEvent",new Wn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+"start"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent("movestart",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent("move",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+"end"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event("moveend",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki("renderFrame",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x="number"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow",this._setElementTitle(e,"MapFeedback")}},Ei.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"visibility"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={"AttributionControl.ToggleAttribution":"Toggle attribution","AttributionControl.MapFeedback":"Map feedback","FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Oi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Oi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map"),this._canvas.setAttribute("role","region");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})),this._container.addEventListener("scroll",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("orientationchange",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute("aria-disabled",e.toString()),this._zoomOutButton.setAttribute("aria-disabled",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var a=r.createNS("http://www.w3.org/2000/svg","svg");a.setAttributeNS(null,"display","block"),a.setAttributeNS(null,"height","41px"),a.setAttributeNS(null,"width","27px"),a.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var u=0,c=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<c.length;u+=1){var f=c[u],h=r.createNS("http://www.w3.org/2000/svg","ellipse");h.setAttributeNS(null,"opacity","0.04"),h.setAttributeNS(null,"cx","10.5"),h.setAttributeNS(null,"cy","5.80029008"),h.setAttributeNS(null,"rx",f.rx),h.setAttributeNS(null,"ry",f.ry),l.appendChild(h)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var v=r.createNS("http://www.w3.org/2000/svg","g");v.setAttributeNS(null,"opacity","0.25"),v.setAttributeNS(null,"fill","#000000");var g=r.createNS("http://www.w3.org/2000/svg","path");g.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 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b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,"height",41*this._scale+"px"),a.setAttributeNS(null,"width",27*this._scale+"px"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return 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S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else 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u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:"Polygon",coordinates:[]}:1==c.length?{type:"Polygon",coordinates:c[0]}:{type:"MultiPolygon",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var 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t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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gl_PointSize;\n}\n"]),v&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}x.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if("number"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var 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n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Chæharshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Chæ","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),f=t-this.toJD(l,c,1)+1;return this.newDate(l,c,f)}}),n.calendars.persian=a,n.calendars.jalali=a},51456:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new 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t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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diff --git a/System/index.html b/System/index.html
index 41421db4..e222299d 100644
--- a/System/index.html
+++ b/System/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1387,7 +1387,7 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/UsagePattern/index.html b/UsagePattern/index.html
index 8a26ea5d..bfb67c2c 100644
--- a/UsagePattern/index.html
+++ b/UsagePattern/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1567,8 +1567,8 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
 <h3 id="utc_hourly_user_journey_starts">utc_hourly_user_journey_starts</h3>
 <p>usage pattern utc in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],<br />
-    last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]  </p>
+    first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],<br />
+    last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#hourly_user_journey_starts">usage pattern hourly nb of visits from hypothesis</a></li>
@@ -1608,7 +1608,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_27fcfc {
+             #mynetwork_cbe296 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1630,7 +1630,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_27fcfc" class="card-body"></div>
+            <div id="mynetwork_cbe296" class="card-body"></div>
         </div>
 
 
@@ -1660,12 +1660,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_27fcfc');
+                  var container = document.getElementById('mynetwork_cbe296');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}]);
 
                   nodeColors = {};
@@ -1735,8 +1735,8 @@ <h1></h1>
 <h3 id="nb_user_journeys_in_parallel">nb_user_journeys_in_parallel</h3>
 <p>usage pattern hourly nb of user journeys in parallel in dimensionless.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:<br />
-    first 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],<br />
-    last 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]  </p>
+    first 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],<br />
+    last 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#utc_hourly_user_journey_starts">usage pattern UTC</a></li>
@@ -1776,7 +1776,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_845e5b {
+             #mynetwork_cc504a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1798,7 +1798,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_845e5b" class="card-body"></div>
+            <div id="mynetwork_cc504a" class="card-body"></div>
         </div>
 
 
@@ -1828,12 +1828,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_845e5b');
+                  var container = document.getElementById('mynetwork_cc504a');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}]);
 
                   nodeColors = {};
@@ -1903,8 +1903,8 @@ <h1></h1>
 <h3 id="devices_energy">devices_energy</h3>
 <p>energy consumed by usage pattern devices in kilowatt_hour.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:<br />
-    first 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],<br />
-    last 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]  </p>
+    first 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],<br />
+    last 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#nb_user_journeys_in_parallel">usage pattern hourly nb of user journeys in parallel</a></li>
@@ -1944,7 +1944,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_fb64ed {
+             #mynetwork_5ea5f6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1966,7 +1966,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_fb64ed" class="card-body"></div>
+            <div id="mynetwork_5ea5f6" class="card-body"></div>
         </div>
 
 
@@ -1996,12 +1996,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_fb64ed');
+                  var container = document.getElementById('mynetwork_5ea5f6');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -150.0, "y": 450}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -150.0, "y": 450}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "Power of device on which the user journey is made", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "one full hour", "to": "Energy consumed by usage pattern devices"}]);
 
                   nodeColors = {};
@@ -2071,8 +2071,8 @@ <h1></h1>
 <h3 id="devices_energy_footprint">devices_energy_footprint</h3>
 <p>energy footprint of usage pattern in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
-    first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],<br />
-    last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]  </p>
+    first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],<br />
+    last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#devices_energy">Energy consumed by usage pattern devices</a></li>
@@ -2112,7 +2112,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f2e371 {
+             #mynetwork_c5c74a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2134,7 +2134,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_f2e371" class="card-body"></div>
+            <div id="mynetwork_c5c74a" class="card-body"></div>
         </div>
 
 
@@ -2164,12 +2164,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f2e371');
+                  var container = document.getElementById('mynetwork_c5c74a');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": -112.5, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": -112.5, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy consumed by usage pattern devices", "to": "Energy footprint of usage pattern"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Energy footprint of usage pattern"}]);
 
                   nodeColors = {};
@@ -2239,8 +2239,8 @@ <h1></h1>
 <h3 id="devices_fabrication_footprint">devices_fabrication_footprint</h3>
 <p>devices fabrication footprint of usage pattern in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#nb_user_journeys_in_parallel">usage pattern hourly nb of user journeys in parallel</a></li>
@@ -2282,7 +2282,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_a7c699 {
+             #mynetwork_81c5e6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2304,7 +2304,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_a7c699" class="card-body"></div>
+            <div id="mynetwork_81c5e6" class="card-body"></div>
         </div>
 
 
@@ -2334,12 +2334,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_a7c699');
+                  var container = document.getElementById('mynetwork_81c5e6');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -225.0, "y": 450}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -225.0, "y": 450}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "device on which the user journey is made fabrication footprint over one hour", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "Carbon footprint fabrication of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "one hour", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "Lifespan of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "device on which the user journey is made fraction of usage time", "to": "device on which the user journey is made fabrication footprint over one hour"}]);
 
                   nodeColors = {};
@@ -2409,8 +2409,8 @@ <h1></h1>
 <h3 id="energy_footprint">energy_footprint</h3>
 <p>usage pattern total energy footprint in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
-    first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],<br />
-    last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]  </p>
+    first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],<br />
+    last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#devices_energy_footprint">Energy footprint of usage pattern</a>  </li>
@@ -2449,7 +2449,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5885a8 {
+             #mynetwork_c31be2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2471,7 +2471,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_5885a8" class="card-body"></div>
+            <div id="mynetwork_c31be2" class="card-body"></div>
         </div>
 
 
@@ -2501,12 +2501,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5885a8');
+                  var container = document.getElementById('mynetwork_c31be2');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy footprint of usage pattern", "to": "usage pattern total energy footprint"}]);
 
                   nodeColors = {};
@@ -2576,8 +2576,8 @@ <h1></h1>
 <h3 id="instances_fabrication_footprint">instances_fabrication_footprint</h3>
 <p>usage pattern total fabrication footprint in kilogram.  </p>
 <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:<br />
-    first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],<br />
-    last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p>
+    first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],<br />
+    last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p>
 <p>Depends directly on:  </p>
 <ul>
 <li><a href="./#devices_fabrication_footprint">Devices fabrication footprint of usage pattern</a>  </li>
@@ -2616,7 +2616,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_ad9046 {
+             #mynetwork_4f0398 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -2638,7 +2638,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_ad9046" class="card-body"></div>
+            <div id="mynetwork_4f0398" class="card-body"></div>
         </div>
 
 
@@ -2668,12 +2668,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_ad9046');
+                  var container = document.getElementById('mynetwork_4f0398');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Devices fabrication footprint of usage pattern", "to": "usage pattern total fabrication footprint"}]);
 
                   nodeColors = {};
@@ -2786,7 +2786,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/UserJourney/index.html b/UserJourney/index.html
index 1b5242dd..df44f596 100644
--- a/UserJourney/index.html
+++ b/UserJourney/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1417,7 +1417,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_886fea {
+             #mynetwork_cf8bd2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -1439,7 +1439,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_886fea" class="card-body"></div>
+            <div id="mynetwork_cf8bd2" class="card-body"></div>
         </div>
 
 
@@ -1469,7 +1469,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_886fea');
+                  var container = document.getElementById('mynetwork_cf8bd2');
 
 
 
@@ -1587,7 +1587,7 @@ <h1></h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/UserJourneyStep/index.html b/UserJourneyStep/index.html
index d8c0f7fc..3e0299cb 100644
--- a/UserJourneyStep/index.html
+++ b/UserJourneyStep/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1412,7 +1412,7 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/assets/javascripts/workers/search.07f07601.min.js b/assets/javascripts/workers/search.6ce7567c.min.js
similarity index 94%
rename from assets/javascripts/workers/search.07f07601.min.js
rename to assets/javascripts/workers/search.6ce7567c.min.js
index f3dbf56b..8e7e5500 100644
--- a/assets/javascripts/workers/search.07f07601.min.js
+++ b/assets/javascripts/workers/search.6ce7567c.min.js
@@ -1,4 +1,4 @@
-"use strict";(()=>{var xe=Object.create;var U=Object.defineProperty,ve=Object.defineProperties,Se=Object.getOwnPropertyDescriptor,Te=Object.getOwnPropertyDescriptors,Qe=Object.getOwnPropertyNames,Y=Object.getOwnPropertySymbols,Ee=Object.getPrototypeOf,X=Object.prototype.hasOwnProperty,be=Object.prototype.propertyIsEnumerable;var Z=Math.pow,J=(t,e,r)=>e in t?U(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,A=(t,e)=>{for(var r in e||(e={}))X.call(e,r)&&J(t,r,e[r]);if(Y)for(var r of Y(e))be.call(e,r)&&J(t,r,e[r]);return t},G=(t,e)=>ve(t,Te(e));var Le=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var we=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of Qe(e))!X.call(t,i)&&i!==r&&U(t,i,{get:()=>e[i],enumerable:!(n=Se(e,i))||n.enumerable});return t};var Pe=(t,e,r)=>(r=t!=null?xe(Ee(t)):{},we(e||!t||!t.__esModule?U(r,"default",{value:t,enumerable:!0}):r,t));var B=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var te=Le((K,ee)=>{/**
+"use strict";(()=>{var xe=Object.create;var U=Object.defineProperty,ve=Object.defineProperties,Se=Object.getOwnPropertyDescriptor,Te=Object.getOwnPropertyDescriptors,Qe=Object.getOwnPropertyNames,J=Object.getOwnPropertySymbols,Ee=Object.getPrototypeOf,Z=Object.prototype.hasOwnProperty,be=Object.prototype.propertyIsEnumerable;var K=Math.pow,X=(t,e,r)=>e in t?U(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,A=(t,e)=>{for(var r in e||(e={}))Z.call(e,r)&&X(t,r,e[r]);if(J)for(var r of J(e))be.call(e,r)&&X(t,r,e[r]);return t},G=(t,e)=>ve(t,Te(e));var Le=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var we=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of Qe(e))!Z.call(t,i)&&i!==r&&U(t,i,{get:()=>e[i],enumerable:!(n=Se(e,i))||n.enumerable});return t};var Pe=(t,e,r)=>(r=t!=null?xe(Ee(t)):{},we(e||!t||!t.__esModule?U(r,"default",{value:t,enumerable:!0}):r,t));var B=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var re=Le((ee,te)=>{/**
  * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9
  * Copyright (C) 2020 Oliver Nightingale
  * @license MIT
@@ -37,6 +37,6 @@
  */t.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},t.Index.prototype.search=function(e){return this.query(function(r){var n=new t.QueryParser(e,r);n.parse()})},t.Index.prototype.query=function(e){for(var r=new t.Query(this.fields),n=Object.create(null),i=Object.create(null),s=Object.create(null),o=Object.create(null),a=Object.create(null),u=0;u<this.fields.length;u++)i[this.fields[u]]=new t.Vector;e.call(r,r);for(var u=0;u<r.clauses.length;u++){var c=r.clauses[u],f=null,g=t.Set.empty;c.usePipeline?f=this.pipeline.runString(c.term,{fields:c.fields}):f=[c.term];for(var l=0;l<f.length;l++){var m=f[l];c.term=m;var x=t.TokenSet.fromClause(c),v=this.tokenSet.intersect(x).toArray();if(v.length===0&&c.presence===t.Query.presence.REQUIRED){for(var d=0;d<c.fields.length;d++){var y=c.fields[d];o[y]=t.Set.empty}break}for(var b=0;b<v.length;b++)for(var E=v[b],w=this.invertedIndex[E],R=w._index,d=0;d<c.fields.length;d++){var y=c.fields[d],j=w[y],_=Object.keys(j),D=E+"/"+y,N=new t.Set(_);if(c.presence==t.Query.presence.REQUIRED&&(g=g.union(N),o[y]===void 0&&(o[y]=t.Set.complete)),c.presence==t.Query.presence.PROHIBITED){a[y]===void 0&&(a[y]=t.Set.empty),a[y]=a[y].union(N);continue}if(i[y].upsert(R,c.boost,function(ye,me){return ye+me}),!s[D]){for(var C=0;C<_.length;C++){var V=_[C],P=new t.FieldRef(V,y),z=j[V],$;($=n[P])===void 0?n[P]=new t.MatchData(E,y,z):$.add(E,y,z)}s[D]=!0}}}if(c.presence===t.Query.presence.REQUIRED)for(var d=0;d<c.fields.length;d++){var y=c.fields[d];o[y]=o[y].intersect(g)}}for(var M=t.Set.complete,I=t.Set.empty,u=0;u<this.fields.length;u++){var y=this.fields[u];o[y]&&(M=M.intersect(o[y])),a[y]&&(I=I.union(a[y]))}var h=Object.keys(n),S=[],k=Object.create(null);if(r.isNegated()){h=Object.keys(this.fieldVectors);for(var u=0;u<h.length;u++){var P=h[u],L=t.FieldRef.fromString(P);n[P]=new t.MatchData}}for(var u=0;u<h.length;u++){var L=t.FieldRef.fromString(h[u]),p=L.docRef;if(M.contains(p)&&!I.contains(p)){var T=this.fieldVectors[L],O=i[L.fieldName].similarity(T),F;if((F=k[p])!==void 0)F.score+=O,F.matchData.combine(n[L]);else{var Q={ref:p,score:O,matchData:n[L]};k[p]=Q,S.push(Q)}}}return S.sort(function(pe,ge){return ge.score-pe.score})},t.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map(function(n){return[n,this.invertedIndex[n]]},this),r=Object.keys(this.fieldVectors).map(function(n){return[n,this.fieldVectors[n].toJSON()]},this);return{version:t.version,fields:this.fields,fieldVectors:r,invertedIndex:e,pipeline:this.pipeline.toJSON()}},t.Index.load=function(e){var r={},n={},i=e.fieldVectors,s=Object.create(null),o=e.invertedIndex,a=new t.TokenSet.Builder,u=t.Pipeline.load(e.pipeline);e.version!=t.version&&t.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+t.version+"' does not match serialized index '"+e.version+"'");for(var c=0;c<i.length;c++){var f=i[c],g=f[0],l=f[1];n[g]=new t.Vector(l)}for(var c=0;c<o.length;c++){var f=o[c],m=f[0],x=f[1];a.insert(m),s[m]=x}return a.finish(),r.fields=e.fields,r.fieldVectors=n,r.invertedIndex=s,r.tokenSet=a.root,r.pipeline=u,new t.Index(r)};/*!
  * lunr.Builder
  * Copyright (C) 2020 Oliver Nightingale
- */t.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=t.tokenizer,this.pipeline=new t.Pipeline,this.searchPipeline=new t.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},t.Builder.prototype.ref=function(e){this._ref=e},t.Builder.prototype.field=function(e,r){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=r||{}},t.Builder.prototype.b=function(e){e<0?this._b=0:e>1?this._b=1:this._b=e},t.Builder.prototype.k1=function(e){this._k1=e},t.Builder.prototype.add=function(e,r){var n=e[this._ref],i=Object.keys(this._fields);this._documents[n]=r||{},this.documentCount+=1;for(var s=0;s<i.length;s++){var o=i[s],a=this._fields[o].extractor,u=a?a(e):e[o],c=this.tokenizer(u,{fields:[o]}),f=this.pipeline.run(c),g=new t.FieldRef(n,o),l=Object.create(null);this.fieldTermFrequencies[g]=l,this.fieldLengths[g]=0,this.fieldLengths[g]+=f.length;for(var m=0;m<f.length;m++){var x=f[m];if(l[x]==null&&(l[x]=0),l[x]+=1,this.invertedIndex[x]==null){var v=Object.create(null);v._index=this.termIndex,this.termIndex+=1;for(var d=0;d<i.length;d++)v[i[d]]=Object.create(null);this.invertedIndex[x]=v}this.invertedIndex[x][o][n]==null&&(this.invertedIndex[x][o][n]=Object.create(null));for(var y=0;y<this.metadataWhitelist.length;y++){var b=this.metadataWhitelist[y],E=x.metadata[b];this.invertedIndex[x][o][n][b]==null&&(this.invertedIndex[x][o][n][b]=[]),this.invertedIndex[x][o][n][b].push(E)}}}},t.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),r=e.length,n={},i={},s=0;s<r;s++){var o=t.FieldRef.fromString(e[s]),a=o.fieldName;i[a]||(i[a]=0),i[a]+=1,n[a]||(n[a]=0),n[a]+=this.fieldLengths[o]}for(var u=Object.keys(this._fields),s=0;s<u.length;s++){var c=u[s];n[c]=n[c]/i[c]}this.averageFieldLength=n},t.Builder.prototype.createFieldVectors=function(){for(var e={},r=Object.keys(this.fieldTermFrequencies),n=r.length,i=Object.create(null),s=0;s<n;s++){for(var o=t.FieldRef.fromString(r[s]),a=o.fieldName,u=this.fieldLengths[o],c=new t.Vector,f=this.fieldTermFrequencies[o],g=Object.keys(f),l=g.length,m=this._fields[a].boost||1,x=this._documents[o.docRef].boost||1,v=0;v<l;v++){var d=g[v],y=f[d],b=this.invertedIndex[d]._index,E,w,R;i[d]===void 0?(E=t.idf(this.invertedIndex[d],this.documentCount),i[d]=E):E=i[d],w=E*((this._k1+1)*y)/(this._k1*(1-this._b+this._b*(u/this.averageFieldLength[a]))+y),w*=m,w*=x,R=Math.round(w*1e3)/1e3,c.insert(b,R)}e[o]=c}this.fieldVectors=e},t.Builder.prototype.createTokenSet=function(){this.tokenSet=t.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},t.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new t.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},t.Builder.prototype.use=function(e){var r=Array.prototype.slice.call(arguments,1);r.unshift(this),e.apply(this,r)},t.MatchData=function(e,r,n){for(var i=Object.create(null),s=Object.keys(n||{}),o=0;o<s.length;o++){var a=s[o];i[a]=n[a].slice()}this.metadata=Object.create(null),e!==void 0&&(this.metadata[e]=Object.create(null),this.metadata[e][r]=i)},t.MatchData.prototype.combine=function(e){for(var r=Object.keys(e.metadata),n=0;n<r.length;n++){var i=r[n],s=Object.keys(e.metadata[i]);this.metadata[i]==null&&(this.metadata[i]=Object.create(null));for(var o=0;o<s.length;o++){var a=s[o],u=Object.keys(e.metadata[i][a]);this.metadata[i][a]==null&&(this.metadata[i][a]=Object.create(null));for(var c=0;c<u.length;c++){var f=u[c];this.metadata[i][a][f]==null?this.metadata[i][a][f]=e.metadata[i][a][f]:this.metadata[i][a][f]=this.metadata[i][a][f].concat(e.metadata[i][a][f])}}}},t.MatchData.prototype.add=function(e,r,n){if(!(e in this.metadata)){this.metadata[e]=Object.create(null),this.metadata[e][r]=n;return}if(!(r in this.metadata[e])){this.metadata[e][r]=n;return}for(var i=Object.keys(n),s=0;s<i.length;s++){var o=i[s];o in this.metadata[e][r]?this.metadata[e][r][o]=this.metadata[e][r][o].concat(n[o]):this.metadata[e][r][o]=n[o]}},t.Query=function(e){this.clauses=[],this.allFields=e},t.Query.wildcard=new String("*"),t.Query.wildcard.NONE=0,t.Query.wildcard.LEADING=1,t.Query.wildcard.TRAILING=2,t.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},t.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=t.Query.wildcard.NONE),e.wildcard&t.Query.wildcard.LEADING&&e.term.charAt(0)!=t.Query.wildcard&&(e.term="*"+e.term),e.wildcard&t.Query.wildcard.TRAILING&&e.term.slice(-1)!=t.Query.wildcard&&(e.term=""+e.term+"*"),"presence"in e||(e.presence=t.Query.presence.OPTIONAL),this.clauses.push(e),this},t.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=t.Query.presence.PROHIBITED)return!1;return!0},t.Query.prototype.term=function(e,r){if(Array.isArray(e))return e.forEach(function(i){this.term(i,t.utils.clone(r))},this),this;var n=r||{};return n.term=e.toString(),this.clause(n),this},t.QueryParseError=function(e,r,n){this.name="QueryParseError",this.message=e,this.start=r,this.end=n},t.QueryParseError.prototype=new Error,t.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},t.QueryLexer.prototype.run=function(){for(var e=t.QueryLexer.lexText;e;)e=e(this)},t.QueryLexer.prototype.sliceString=function(){for(var e=[],r=this.start,n=this.pos,i=0;i<this.escapeCharPositions.length;i++)n=this.escapeCharPositions[i],e.push(this.str.slice(r,n)),r=n+1;return e.push(this.str.slice(r,this.pos)),this.escapeCharPositions.length=0,e.join("")},t.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},t.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},t.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return t.QueryLexer.EOS;var e=this.str.charAt(this.pos);return this.pos+=1,e},t.QueryLexer.prototype.width=function(){return this.pos-this.start},t.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},t.QueryLexer.prototype.backup=function(){this.pos-=1},t.QueryLexer.prototype.acceptDigitRun=function(){var e,r;do e=this.next(),r=e.charCodeAt(0);while(r>47&&r<58);e!=t.QueryLexer.EOS&&this.backup()},t.QueryLexer.prototype.more=function(){return this.pos<this.length},t.QueryLexer.EOS="EOS",t.QueryLexer.FIELD="FIELD",t.QueryLexer.TERM="TERM",t.QueryLexer.EDIT_DISTANCE="EDIT_DISTANCE",t.QueryLexer.BOOST="BOOST",t.QueryLexer.PRESENCE="PRESENCE",t.QueryLexer.lexField=function(e){return e.backup(),e.emit(t.QueryLexer.FIELD),e.ignore(),t.QueryLexer.lexText},t.QueryLexer.lexTerm=function(e){if(e.width()>1&&(e.backup(),e.emit(t.QueryLexer.TERM)),e.ignore(),e.more())return t.QueryLexer.lexText},t.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.EDIT_DISTANCE),t.QueryLexer.lexText},t.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(t.QueryLexer.BOOST),t.QueryLexer.lexText},t.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(t.QueryLexer.TERM)},t.QueryLexer.termSeparator=t.tokenizer.separator,t.QueryLexer.lexText=function(e){for(;;){var r=e.next();if(r==t.QueryLexer.EOS)return t.QueryLexer.lexEOS;if(r.charCodeAt(0)==92){e.escapeCharacter();continue}if(r==":")return t.QueryLexer.lexField;if(r=="~")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexEditDistance;if(r=="^")return e.backup(),e.width()>0&&e.emit(t.QueryLexer.TERM),t.QueryLexer.lexBoost;if(r=="+"&&e.width()===1||r=="-"&&e.width()===1)return e.emit(t.QueryLexer.PRESENCE),t.QueryLexer.lexText;if(r.match(t.QueryLexer.termSeparator))return t.QueryLexer.lexTerm}},t.QueryParser=function(e,r){this.lexer=new t.QueryLexer(e),this.query=r,this.currentClause={},this.lexemeIdx=0},t.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=t.QueryParser.parseClause;e;)e=e(this);return this.query},t.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},t.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},t.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},t.QueryParser.parseClause=function(e){var r=e.peekLexeme();if(r!=null)switch(r.type){case t.QueryLexer.PRESENCE:return t.QueryParser.parsePresence;case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expected either a field or a term, found "+r.type;throw r.str.length>=1&&(n+=" with value '"+r.str+"'"),new t.QueryParseError(n,r.start,r.end)}},t.QueryParser.parsePresence=function(e){var r=e.consumeLexeme();if(r!=null){switch(r.str){case"-":e.currentClause.presence=t.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=t.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+r.str+"'";throw new t.QueryParseError(n,r.start,r.end)}var i=e.peekLexeme();if(i==null){var n="expecting term or field, found nothing";throw new t.QueryParseError(n,r.start,r.end)}switch(i.type){case t.QueryLexer.FIELD:return t.QueryParser.parseField;case t.QueryLexer.TERM:return t.QueryParser.parseTerm;default:var n="expecting term or field, found '"+i.type+"'";throw new t.QueryParseError(n,i.start,i.end)}}},t.QueryParser.parseField=function(e){var r=e.consumeLexeme();if(r!=null){if(e.query.allFields.indexOf(r.str)==-1){var n=e.query.allFields.map(function(o){return"'"+o+"'"}).join(", "),i="unrecognised field '"+r.str+"', possible fields: "+n;throw new t.QueryParseError(i,r.start,r.end)}e.currentClause.fields=[r.str];var s=e.peekLexeme();if(s==null){var 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+//# sourceMappingURL=search.6ce7567c.min.js.map
 
diff --git a/assets/javascripts/workers/search.07f07601.min.js.map b/assets/javascripts/workers/search.6ce7567c.min.js.map
similarity index 78%
rename from assets/javascripts/workers/search.07f07601.min.js.map
rename to assets/javascripts/workers/search.6ce7567c.min.js.map
index 7fdd4d08..e7c69d21 100644
--- a/assets/javascripts/workers/search.07f07601.min.js.map
+++ b/assets/javascripts/workers/search.6ce7567c.min.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
   "sources": ["node_modules/lunr/lunr.js", "src/templates/assets/javascripts/integrations/search/worker/main/index.ts", "src/templates/assets/javascripts/browser/element/_/index.ts", "src/templates/assets/javascripts/polyfills/index.ts", "src/templates/assets/javascripts/integrations/search/config/index.ts", "src/templates/assets/javascripts/integrations/search/internal/_/index.ts", "src/templates/assets/javascripts/integrations/search/internal/extract/index.ts", "src/templates/assets/javascripts/integrations/search/internal/highlight/index.ts", "src/templates/assets/javascripts/integrations/search/internal/tokenize/index.ts", "src/templates/assets/javascripts/integrations/search/query/transform/index.ts", "src/templates/assets/javascripts/integrations/search/query/_/index.ts", "src/templates/assets/javascripts/integrations/search/query/segment/index.ts", "src/templates/assets/javascripts/integrations/search/_/index.ts"],
-  "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n *   this.field('title')\n *   this.field('body')\n *   this.ref('id')\n *\n *   documents.forEach(function (doc) {\n *     this.add(doc)\n *   }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n  var builder = new lunr.Builder\n\n  builder.pipeline.add(\n    lunr.trimmer,\n    lunr.stopWordFilter,\n    lunr.stemmer\n  )\n\n  builder.searchPipeline.add(\n    lunr.stemmer\n  )\n\n  config.call(builder, builder)\n  return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n  /* eslint-disable no-console */\n  return function (message) {\n    if (global.console && console.warn) {\n      console.warn(message)\n    }\n  }\n  /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n  if (obj === void 0 || obj === null) {\n    return \"\"\n  } else {\n    return obj.toString()\n  }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n  if (obj === null || obj === undefined) {\n    return obj\n  }\n\n  var clone = Object.create(null),\n      keys = Object.keys(obj)\n\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i],\n        val = obj[key]\n\n    if (Array.isArray(val)) {\n      clone[key] = val.slice()\n      continue\n    }\n\n    if (typeof val === 'string' ||\n        typeof val === 'number' ||\n        typeof val === 'boolean') {\n      clone[key] = val\n      continue\n    }\n\n    throw new TypeError(\"clone is not deep and does not support nested objects\")\n  }\n\n  return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n  this.docRef = docRef\n  this.fieldName = fieldName\n  this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n  var n = s.indexOf(lunr.FieldRef.joiner)\n\n  if (n === -1) {\n    throw \"malformed field ref string\"\n  }\n\n  var fieldRef = s.slice(0, n),\n      docRef = s.slice(n + 1)\n\n  return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n  if (this._stringValue == undefined) {\n    this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n  }\n\n  return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n  this.elements = Object.create(null)\n\n  if (elements) {\n    this.length = elements.length\n\n    for (var i = 0; i < this.length; i++) {\n      this.elements[elements[i]] = true\n    }\n  } else {\n    this.length = 0\n  }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n  intersect: function (other) {\n    return other\n  },\n\n  union: function () {\n    return this\n  },\n\n  contains: function () {\n    return true\n  }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n  intersect: function () {\n    return this\n  },\n\n  union: function (other) {\n    return other\n  },\n\n  contains: function () {\n    return false\n  }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n  return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n  var a, b, elements, intersection = []\n\n  if (other === lunr.Set.complete) {\n    return this\n  }\n\n  if (other === lunr.Set.empty) {\n    return other\n  }\n\n  if (this.length < other.length) {\n    a = this\n    b = other\n  } else {\n    a = other\n    b = this\n  }\n\n  elements = Object.keys(a.elements)\n\n  for (var i = 0; i < elements.length; i++) {\n    var element = elements[i]\n    if (element in b.elements) {\n      intersection.push(element)\n    }\n  }\n\n  return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n  if (other === lunr.Set.complete) {\n    return lunr.Set.complete\n  }\n\n  if (other === lunr.Set.empty) {\n    return this\n  }\n\n  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n  var documentsWithTerm = 0\n\n  for (var fieldName in posting) {\n    if (fieldName == '_index') continue // Ignore the term index, its not a field\n    documentsWithTerm += Object.keys(posting[fieldName]).length\n  }\n\n  var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n  return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n  this.str = str || \"\"\n  this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n  return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n *   return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n  this.str = fn(this.str, this.metadata)\n  return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n  fn = fn || function (s) { return s }\n  return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n  if (obj == null || obj == undefined) {\n    return []\n  }\n\n  if (Array.isArray(obj)) {\n    return obj.map(function (t) {\n      return new lunr.Token(\n        lunr.utils.asString(t).toLowerCase(),\n        lunr.utils.clone(metadata)\n      )\n    })\n  }\n\n  var str = obj.toString().toLowerCase(),\n      len = str.length,\n      tokens = []\n\n  for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n    var char = str.charAt(sliceEnd),\n        sliceLength = sliceEnd - sliceStart\n\n    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n      if (sliceLength > 0) {\n        var tokenMetadata = lunr.utils.clone(metadata) || {}\n        tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n        tokenMetadata[\"index\"] = tokens.length\n\n        tokens.push(\n          new lunr.Token (\n            str.slice(sliceStart, sliceEnd),\n            tokenMetadata\n          )\n        )\n      }\n\n      sliceStart = sliceEnd + 1\n    }\n\n  }\n\n  return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n  this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n  if (label in this.registeredFunctions) {\n    lunr.utils.warn('Overwriting existing registered function: ' + label)\n  }\n\n  fn.label = label\n  lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n  var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n  if (!isRegistered) {\n    lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n  }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n  var pipeline = new lunr.Pipeline\n\n  serialised.forEach(function (fnName) {\n    var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n    if (fn) {\n      pipeline.add(fn)\n    } else {\n      throw new Error('Cannot load unregistered function: ' + fnName)\n    }\n  })\n\n  return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n  var fns = Array.prototype.slice.call(arguments)\n\n  fns.forEach(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n    this._stack.push(fn)\n  }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  pos = pos + 1\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n  var pos = this._stack.indexOf(fn)\n  if (pos == -1) {\n    return\n  }\n\n  this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n  var stackLength = this._stack.length\n\n  for (var i = 0; i < stackLength; i++) {\n    var fn = this._stack[i]\n    var memo = []\n\n    for (var j = 0; j < tokens.length; j++) {\n      var result = fn(tokens[j], j, tokens)\n\n      if (result === null || result === void 0 || result === '') continue\n\n      if (Array.isArray(result)) {\n        for (var k = 0; k < result.length; k++) {\n          memo.push(result[k])\n        }\n      } else {\n        memo.push(result)\n      }\n    }\n\n    tokens = memo\n  }\n\n  return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n  var token = new lunr.Token (str, metadata)\n\n  return this.run([token]).map(function (t) {\n    return t.toString()\n  })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n  this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n  return this._stack.map(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n    return fn.label\n  })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n  this._magnitude = 0\n  this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n  // For an empty vector the tuple can be inserted at the beginning\n  if (this.elements.length == 0) {\n    return 0\n  }\n\n  var start = 0,\n      end = this.elements.length / 2,\n      sliceLength = end - start,\n      pivotPoint = Math.floor(sliceLength / 2),\n      pivotIndex = this.elements[pivotPoint * 2]\n\n  while (sliceLength > 1) {\n    if (pivotIndex < index) {\n      start = pivotPoint\n    }\n\n    if (pivotIndex > index) {\n      end = pivotPoint\n    }\n\n    if (pivotIndex == index) {\n      break\n    }\n\n    sliceLength = end - start\n    pivotPoint = start + Math.floor(sliceLength / 2)\n    pivotIndex = this.elements[pivotPoint * 2]\n  }\n\n  if (pivotIndex == index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex > index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex < index) {\n    return (pivotPoint + 1) * 2\n  }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n  this.upsert(insertIdx, val, function () {\n    throw \"duplicate index\"\n  })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n  this._magnitude = 0\n  var position = this.positionForIndex(insertIdx)\n\n  if (this.elements[position] == insertIdx) {\n    this.elements[position + 1] = fn(this.elements[position + 1], val)\n  } else {\n    this.elements.splice(position, 0, insertIdx, val)\n  }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n  if (this._magnitude) return this._magnitude\n\n  var sumOfSquares = 0,\n      elementsLength = this.elements.length\n\n  for (var i = 1; i < elementsLength; i += 2) {\n    var val = this.elements[i]\n    sumOfSquares += val * val\n  }\n\n  return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n  var dotProduct = 0,\n      a = this.elements, b = otherVector.elements,\n      aLen = a.length, bLen = b.length,\n      aVal = 0, bVal = 0,\n      i = 0, j = 0\n\n  while (i < aLen && j < bLen) {\n    aVal = a[i], bVal = b[j]\n    if (aVal < bVal) {\n      i += 2\n    } else if (aVal > bVal) {\n      j += 2\n    } else if (aVal == bVal) {\n      dotProduct += a[i + 1] * b[j + 1]\n      i += 2\n      j += 2\n    }\n  }\n\n  return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n  return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n  var output = new Array (this.elements.length / 2)\n\n  for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n    output[j] = this.elements[i]\n  }\n\n  return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n  return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n  var step2list = {\n      \"ational\" : \"ate\",\n      \"tional\" : \"tion\",\n      \"enci\" : \"ence\",\n      \"anci\" : \"ance\",\n      \"izer\" : \"ize\",\n      \"bli\" : \"ble\",\n      \"alli\" : \"al\",\n      \"entli\" : \"ent\",\n      \"eli\" : \"e\",\n      \"ousli\" : \"ous\",\n      \"ization\" : \"ize\",\n      \"ation\" : \"ate\",\n      \"ator\" : \"ate\",\n      \"alism\" : \"al\",\n      \"iveness\" : \"ive\",\n      \"fulness\" : \"ful\",\n      \"ousness\" : \"ous\",\n      \"aliti\" : \"al\",\n      \"iviti\" : \"ive\",\n      \"biliti\" : \"ble\",\n      \"logi\" : \"log\"\n    },\n\n    step3list = {\n      \"icate\" : \"ic\",\n      \"ative\" : \"\",\n      \"alize\" : \"al\",\n      \"iciti\" : \"ic\",\n      \"ical\" : \"ic\",\n      \"ful\" : \"\",\n      \"ness\" : \"\"\n    },\n\n    c = \"[^aeiou]\",          // consonant\n    v = \"[aeiouy]\",          // vowel\n    C = c + \"[^aeiouy]*\",    // consonant sequence\n    V = v + \"[aeiou]*\",      // vowel sequence\n\n    mgr0 = \"^(\" + C + \")?\" + V + C,               // [C]VC... is m>0\n    meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\",  // [C]VC[V] is m=1\n    mgr1 = \"^(\" + C + \")?\" + V + C + V + C,       // [C]VCVC... is m>1\n    s_v = \"^(\" + C + \")?\" + v;                   // vowel in stem\n\n  var re_mgr0 = new RegExp(mgr0);\n  var re_mgr1 = new RegExp(mgr1);\n  var re_meq1 = new RegExp(meq1);\n  var re_s_v = new RegExp(s_v);\n\n  var re_1a = /^(.+?)(ss|i)es$/;\n  var re2_1a = /^(.+?)([^s])s$/;\n  var re_1b = /^(.+?)eed$/;\n  var re2_1b = /^(.+?)(ed|ing)$/;\n  var re_1b_2 = /.$/;\n  var re2_1b_2 = /(at|bl|iz)$/;\n  var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n  var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var re_1c = /^(.+?[^aeiou])y$/;\n  var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n  var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n  var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n  var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n  var re_5 = /^(.+?)e$/;\n  var re_5_1 = /ll$/;\n  var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var porterStemmer = function porterStemmer(w) {\n    var stem,\n      suffix,\n      firstch,\n      re,\n      re2,\n      re3,\n      re4;\n\n    if (w.length < 3) { return w; }\n\n    firstch = w.substr(0,1);\n    if (firstch == \"y\") {\n      w = firstch.toUpperCase() + w.substr(1);\n    }\n\n    // Step 1a\n    re = re_1a\n    re2 = re2_1a;\n\n    if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n    else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n    // Step 1b\n    re = re_1b;\n    re2 = re2_1b;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      re = re_mgr0;\n      if (re.test(fp[1])) {\n        re = re_1b_2;\n        w = w.replace(re,\"\");\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1];\n      re2 = re_s_v;\n      if (re2.test(stem)) {\n        w = stem;\n        re2 = re2_1b_2;\n        re3 = re3_1b_2;\n        re4 = re4_1b_2;\n        if (re2.test(w)) { w = w + \"e\"; }\n        else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n        else if (re4.test(w)) { w = w + \"e\"; }\n      }\n    }\n\n    // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n    re = re_1c;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      w = stem + \"i\";\n    }\n\n    // Step 2\n    re = re_2;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step2list[suffix];\n      }\n    }\n\n    // Step 3\n    re = re_3;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step3list[suffix];\n      }\n    }\n\n    // Step 4\n    re = re_4;\n    re2 = re2_4;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      if (re.test(stem)) {\n        w = stem;\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1] + fp[2];\n      re2 = re_mgr1;\n      if (re2.test(stem)) {\n        w = stem;\n      }\n    }\n\n    // Step 5\n    re = re_5;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      re2 = re_meq1;\n      re3 = re3_5;\n      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n        w = stem;\n      }\n    }\n\n    re = re_5_1;\n    re2 = re_mgr1;\n    if (re.test(w) && re2.test(w)) {\n      re = re_1b_2;\n      w = w.replace(re,\"\");\n    }\n\n    // and turn initial Y back to y\n\n    if (firstch == \"y\") {\n      w = firstch.toLowerCase() + w.substr(1);\n    }\n\n    return w;\n  };\n\n  return function (token) {\n    return token.update(porterStemmer);\n  }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n  var words = stopWords.reduce(function (memo, stopWord) {\n    memo[stopWord] = stopWord\n    return memo\n  }, {})\n\n  return function (token) {\n    if (token && words[token.toString()] !== token.toString()) return token\n  }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n  'a',\n  'able',\n  'about',\n  'across',\n  'after',\n  'all',\n  'almost',\n  'also',\n  'am',\n  'among',\n  'an',\n  'and',\n  'any',\n  'are',\n  'as',\n  'at',\n  'be',\n  'because',\n  'been',\n  'but',\n  'by',\n  'can',\n  'cannot',\n  'could',\n  'dear',\n  'did',\n  'do',\n  'does',\n  'either',\n  'else',\n  'ever',\n  'every',\n  'for',\n  'from',\n  'get',\n  'got',\n  'had',\n  'has',\n  'have',\n  'he',\n  'her',\n  'hers',\n  'him',\n  'his',\n  'how',\n  'however',\n  'i',\n  'if',\n  'in',\n  'into',\n  'is',\n  'it',\n  'its',\n  'just',\n  'least',\n  'let',\n  'like',\n  'likely',\n  'may',\n  'me',\n  'might',\n  'most',\n  'must',\n  'my',\n  'neither',\n  'no',\n  'nor',\n  'not',\n  'of',\n  'off',\n  'often',\n  'on',\n  'only',\n  'or',\n  'other',\n  'our',\n  'own',\n  'rather',\n  'said',\n  'say',\n  'says',\n  'she',\n  'should',\n  'since',\n  'so',\n  'some',\n  'than',\n  'that',\n  'the',\n  'their',\n  'them',\n  'then',\n  'there',\n  'these',\n  'they',\n  'this',\n  'tis',\n  'to',\n  'too',\n  'twas',\n  'us',\n  'wants',\n  'was',\n  'we',\n  'were',\n  'what',\n  'when',\n  'where',\n  'which',\n  'while',\n  'who',\n  'whom',\n  'why',\n  'will',\n  'with',\n  'would',\n  'yet',\n  'you',\n  'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n  return token.update(function (s) {\n    return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n  })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n  this.final = false\n  this.edges = {}\n  this.id = lunr.TokenSet._nextId\n  lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n  var builder = new lunr.TokenSet.Builder\n\n  for (var i = 0, len = arr.length; i < len; i++) {\n    builder.insert(arr[i])\n  }\n\n  builder.finish()\n  return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n  if ('editDistance' in clause) {\n    return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n  } else {\n    return lunr.TokenSet.fromString(clause.term)\n  }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n  var root = new lunr.TokenSet\n\n  var stack = [{\n    node: root,\n    editsRemaining: editDistance,\n    str: str\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop()\n\n    // no edit\n    if (frame.str.length > 0) {\n      var char = frame.str.charAt(0),\n          noEditNode\n\n      if (char in frame.node.edges) {\n        noEditNode = frame.node.edges[char]\n      } else {\n        noEditNode = new lunr.TokenSet\n        frame.node.edges[char] = noEditNode\n      }\n\n      if (frame.str.length == 1) {\n        noEditNode.final = true\n      }\n\n      stack.push({\n        node: noEditNode,\n        editsRemaining: frame.editsRemaining,\n        str: frame.str.slice(1)\n      })\n    }\n\n    if (frame.editsRemaining == 0) {\n      continue\n    }\n\n    // insertion\n    if (\"*\" in frame.node.edges) {\n      var insertionNode = frame.node.edges[\"*\"]\n    } else {\n      var insertionNode = new lunr.TokenSet\n      frame.node.edges[\"*\"] = insertionNode\n    }\n\n    if (frame.str.length == 0) {\n      insertionNode.final = true\n    }\n\n    stack.push({\n      node: insertionNode,\n      editsRemaining: frame.editsRemaining - 1,\n      str: frame.str\n    })\n\n    // deletion\n    // can only do a deletion if we have enough edits remaining\n    // and if there are characters left to delete in the string\n    if (frame.str.length > 1) {\n      stack.push({\n        node: frame.node,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // deletion\n    // just removing the last character from the str\n    if (frame.str.length == 1) {\n      frame.node.final = true\n    }\n\n    // substitution\n    // can only do a substitution if we have enough edits remaining\n    // and if there are characters left to substitute\n    if (frame.str.length >= 1) {\n      if (\"*\" in frame.node.edges) {\n        var substitutionNode = frame.node.edges[\"*\"]\n      } else {\n        var substitutionNode = new lunr.TokenSet\n        frame.node.edges[\"*\"] = substitutionNode\n      }\n\n      if (frame.str.length == 1) {\n        substitutionNode.final = true\n      }\n\n      stack.push({\n        node: substitutionNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // transposition\n    // can only do a transposition if there are edits remaining\n    // and there are enough characters to transpose\n    if (frame.str.length > 1) {\n      var charA = frame.str.charAt(0),\n          charB = frame.str.charAt(1),\n          transposeNode\n\n      if (charB in frame.node.edges) {\n        transposeNode = frame.node.edges[charB]\n      } else {\n        transposeNode = new lunr.TokenSet\n        frame.node.edges[charB] = transposeNode\n      }\n\n      if (frame.str.length == 1) {\n        transposeNode.final = true\n      }\n\n      stack.push({\n        node: transposeNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: charA + frame.str.slice(2)\n      })\n    }\n  }\n\n  return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n  var node = new lunr.TokenSet,\n      root = node\n\n  /*\n   * Iterates through all characters within the passed string\n   * appending a node for each character.\n   *\n   * When a wildcard character is found then a self\n   * referencing edge is introduced to continually match\n   * any number of any characters.\n   */\n  for (var i = 0, len = str.length; i < len; i++) {\n    var char = str[i],\n        final = (i == len - 1)\n\n    if (char == \"*\") {\n      node.edges[char] = node\n      node.final = final\n\n    } else {\n      var next = new lunr.TokenSet\n      next.final = final\n\n      node.edges[char] = next\n      node = next\n    }\n  }\n\n  return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n  var words = []\n\n  var stack = [{\n    prefix: \"\",\n    node: this\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop(),\n        edges = Object.keys(frame.node.edges),\n        len = edges.length\n\n    if (frame.node.final) {\n      /* In Safari, at this point the prefix is sometimes corrupted, see:\n       * https://github.com/olivernn/lunr.js/issues/279 Calling any\n       * String.prototype method forces Safari to \"cast\" this string to what\n       * it's supposed to be, fixing the bug. */\n      frame.prefix.charAt(0)\n      words.push(frame.prefix)\n    }\n\n    for (var i = 0; i < len; i++) {\n      var edge = edges[i]\n\n      stack.push({\n        prefix: frame.prefix.concat(edge),\n        node: frame.node.edges[edge]\n      })\n    }\n  }\n\n  return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n  // NOTE: Using Object.keys here as this.edges is very likely\n  // to enter 'hash-mode' with many keys being added\n  //\n  // avoiding a for-in loop here as it leads to the function\n  // being de-optimised (at least in V8). From some simple\n  // benchmarks the performance is comparable, but allowing\n  // V8 to optimize may mean easy performance wins in the future.\n\n  if (this._str) {\n    return this._str\n  }\n\n  var str = this.final ? '1' : '0',\n      labels = Object.keys(this.edges).sort(),\n      len = labels.length\n\n  for (var i = 0; i < len; i++) {\n    var label = labels[i],\n        node = this.edges[label]\n\n    str = str + label + node.id\n  }\n\n  return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n  var output = new lunr.TokenSet,\n      frame = undefined\n\n  var stack = [{\n    qNode: b,\n    output: output,\n    node: this\n  }]\n\n  while (stack.length) {\n    frame = stack.pop()\n\n    // NOTE: As with the #toString method, we are using\n    // Object.keys and a for loop instead of a for-in loop\n    // as both of these objects enter 'hash' mode, causing\n    // the function to be de-optimised in V8\n    var qEdges = Object.keys(frame.qNode.edges),\n        qLen = qEdges.length,\n        nEdges = Object.keys(frame.node.edges),\n        nLen = nEdges.length\n\n    for (var q = 0; q < qLen; q++) {\n      var qEdge = qEdges[q]\n\n      for (var n = 0; n < nLen; n++) {\n        var nEdge = nEdges[n]\n\n        if (nEdge == qEdge || qEdge == '*') {\n          var node = frame.node.edges[nEdge],\n              qNode = frame.qNode.edges[qEdge],\n              final = node.final && qNode.final,\n              next = undefined\n\n          if (nEdge in frame.output.edges) {\n            // an edge already exists for this character\n            // no need to create a new node, just set the finality\n            // bit unless this node is already final\n            next = frame.output.edges[nEdge]\n            next.final = next.final || final\n\n          } else {\n            // no edge exists yet, must create one\n            // set the finality bit and insert it\n            // into the output\n            next = new lunr.TokenSet\n            next.final = final\n            frame.output.edges[nEdge] = next\n          }\n\n          stack.push({\n            qNode: qNode,\n            output: next,\n            node: node\n          })\n        }\n      }\n    }\n  }\n\n  return output\n}\nlunr.TokenSet.Builder = function () {\n  this.previousWord = \"\"\n  this.root = new lunr.TokenSet\n  this.uncheckedNodes = []\n  this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n  var node,\n      commonPrefix = 0\n\n  if (word < this.previousWord) {\n    throw new Error (\"Out of order word insertion\")\n  }\n\n  for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n    if (word[i] != this.previousWord[i]) break\n    commonPrefix++\n  }\n\n  this.minimize(commonPrefix)\n\n  if (this.uncheckedNodes.length == 0) {\n    node = this.root\n  } else {\n    node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n  }\n\n  for (var i = commonPrefix; i < word.length; i++) {\n    var nextNode = new lunr.TokenSet,\n        char = word[i]\n\n    node.edges[char] = nextNode\n\n    this.uncheckedNodes.push({\n      parent: node,\n      char: char,\n      child: nextNode\n    })\n\n    node = nextNode\n  }\n\n  node.final = true\n  this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n  this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n  for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n    var node = this.uncheckedNodes[i],\n        childKey = node.child.toString()\n\n    if (childKey in this.minimizedNodes) {\n      node.parent.edges[node.char] = this.minimizedNodes[childKey]\n    } else {\n      // Cache the key for this node since\n      // we know it can't change anymore\n      node.child._str = childKey\n\n      this.minimizedNodes[childKey] = node.child\n    }\n\n    this.uncheckedNodes.pop()\n  }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n  this.invertedIndex = attrs.invertedIndex\n  this.fieldVectors = attrs.fieldVectors\n  this.tokenSet = attrs.tokenSet\n  this.fields = attrs.fields\n  this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example <caption>Simple single term query</caption>\n * hello\n * @example <caption>Multiple term query</caption>\n * hello world\n * @example <caption>term scoped to a field</caption>\n * title:hello\n * @example <caption>term with a boost of 10</caption>\n * hello^10\n * @example <caption>term with an edit distance of 2</caption>\n * hello~2\n * @example <caption>terms with presence modifiers</caption>\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first.  For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n  return this.query(function (query) {\n    var parser = new lunr.QueryParser(queryString, query)\n    parser.parse()\n  })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n  // for each query clause\n  // * process terms\n  // * expand terms from token set\n  // * find matching documents and metadata\n  // * get document vectors\n  // * score documents\n\n  var query = new lunr.Query(this.fields),\n      matchingFields = Object.create(null),\n      queryVectors = Object.create(null),\n      termFieldCache = Object.create(null),\n      requiredMatches = Object.create(null),\n      prohibitedMatches = Object.create(null)\n\n  /*\n   * To support field level boosts a query vector is created per\n   * field. An empty vector is eagerly created to support negated\n   * queries.\n   */\n  for (var i = 0; i < this.fields.length; i++) {\n    queryVectors[this.fields[i]] = new lunr.Vector\n  }\n\n  fn.call(query, query)\n\n  for (var i = 0; i < query.clauses.length; i++) {\n    /*\n     * Unless the pipeline has been disabled for this term, which is\n     * the case for terms with wildcards, we need to pass the clause\n     * term through the search pipeline. A pipeline returns an array\n     * of processed terms. Pipeline functions may expand the passed\n     * term, which means we may end up performing multiple index lookups\n     * for a single query term.\n     */\n    var clause = query.clauses[i],\n        terms = null,\n        clauseMatches = lunr.Set.empty\n\n    if (clause.usePipeline) {\n      terms = this.pipeline.runString(clause.term, {\n        fields: clause.fields\n      })\n    } else {\n      terms = [clause.term]\n    }\n\n    for (var m = 0; m < terms.length; m++) {\n      var term = terms[m]\n\n      /*\n       * Each term returned from the pipeline needs to use the same query\n       * clause object, e.g. the same boost and or edit distance. The\n       * simplest way to do this is to re-use the clause object but mutate\n       * its term property.\n       */\n      clause.term = term\n\n      /*\n       * From the term in the clause we create a token set which will then\n       * be used to intersect the indexes token set to get a list of terms\n       * to lookup in the inverted index\n       */\n      var termTokenSet = lunr.TokenSet.fromClause(clause),\n          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n      /*\n       * If a term marked as required does not exist in the tokenSet it is\n       * impossible for the search to return any matches. We set all the field\n       * scoped required matches set to empty and stop examining any further\n       * clauses.\n       */\n      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n        for (var k = 0; k < clause.fields.length; k++) {\n          var field = clause.fields[k]\n          requiredMatches[field] = lunr.Set.empty\n        }\n\n        break\n      }\n\n      for (var j = 0; j < expandedTerms.length; j++) {\n        /*\n         * For each term get the posting and termIndex, this is required for\n         * building the query vector.\n         */\n        var expandedTerm = expandedTerms[j],\n            posting = this.invertedIndex[expandedTerm],\n            termIndex = posting._index\n\n        for (var k = 0; k < clause.fields.length; k++) {\n          /*\n           * For each field that this query term is scoped by (by default\n           * all fields are in scope) we need to get all the document refs\n           * that have this term in that field.\n           *\n           * The posting is the entry in the invertedIndex for the matching\n           * term from above.\n           */\n          var field = clause.fields[k],\n              fieldPosting = posting[field],\n              matchingDocumentRefs = Object.keys(fieldPosting),\n              termField = expandedTerm + \"/\" + field,\n              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n          /*\n           * if the presence of this term is required ensure that the matching\n           * documents are added to the set of required matches for this clause.\n           *\n           */\n          if (clause.presence == lunr.Query.presence.REQUIRED) {\n            clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n            if (requiredMatches[field] === undefined) {\n              requiredMatches[field] = lunr.Set.complete\n            }\n          }\n\n          /*\n           * if the presence of this term is prohibited ensure that the matching\n           * documents are added to the set of prohibited matches for this field,\n           * creating that set if it does not yet exist.\n           */\n          if (clause.presence == lunr.Query.presence.PROHIBITED) {\n            if (prohibitedMatches[field] === undefined) {\n              prohibitedMatches[field] = lunr.Set.empty\n            }\n\n            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n            /*\n             * Prohibited matches should not be part of the query vector used for\n             * similarity scoring and no metadata should be extracted so we continue\n             * to the next field\n             */\n            continue\n          }\n\n          /*\n           * The query field vector is populated using the termIndex found for\n           * the term and a unit value with the appropriate boost applied.\n           * Using upsert because there could already be an entry in the vector\n           * for the term we are working with. In that case we just add the scores\n           * together.\n           */\n          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n          /**\n           * If we've already seen this term, field combo then we've already collected\n           * the matching documents and metadata, no need to go through all that again\n           */\n          if (termFieldCache[termField]) {\n            continue\n          }\n\n          for (var l = 0; l < matchingDocumentRefs.length; l++) {\n            /*\n             * All metadata for this term/field/document triple\n             * are then extracted and collected into an instance\n             * of lunr.MatchData ready to be returned in the query\n             * results\n             */\n            var matchingDocumentRef = matchingDocumentRefs[l],\n                matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n                metadata = fieldPosting[matchingDocumentRef],\n                fieldMatch\n\n            if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n              matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n            } else {\n              fieldMatch.add(expandedTerm, field, metadata)\n            }\n\n          }\n\n          termFieldCache[termField] = true\n        }\n      }\n    }\n\n    /**\n     * If the presence was required we need to update the requiredMatches field sets.\n     * We do this after all fields for the term have collected their matches because\n     * the clause terms presence is required in _any_ of the fields not _all_ of the\n     * fields.\n     */\n    if (clause.presence === lunr.Query.presence.REQUIRED) {\n      for (var k = 0; k < clause.fields.length; k++) {\n        var field = clause.fields[k]\n        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n      }\n    }\n  }\n\n  /**\n   * Need to combine the field scoped required and prohibited\n   * matching documents into a global set of required and prohibited\n   * matches\n   */\n  var allRequiredMatches = lunr.Set.complete,\n      allProhibitedMatches = lunr.Set.empty\n\n  for (var i = 0; i < this.fields.length; i++) {\n    var field = this.fields[i]\n\n    if (requiredMatches[field]) {\n      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n    }\n\n    if (prohibitedMatches[field]) {\n      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n    }\n  }\n\n  var matchingFieldRefs = Object.keys(matchingFields),\n      results = [],\n      matches = Object.create(null)\n\n  /*\n   * If the query is negated (contains only prohibited terms)\n   * we need to get _all_ fieldRefs currently existing in the\n   * index. This is only done when we know that the query is\n   * entirely prohibited terms to avoid any cost of getting all\n   * fieldRefs unnecessarily.\n   *\n   * Additionally, blank MatchData must be created to correctly\n   * populate the results.\n   */\n  if (query.isNegated()) {\n    matchingFieldRefs = Object.keys(this.fieldVectors)\n\n    for (var i = 0; i < matchingFieldRefs.length; i++) {\n      var matchingFieldRef = matchingFieldRefs[i]\n      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n      matchingFields[matchingFieldRef] = new lunr.MatchData\n    }\n  }\n\n  for (var i = 0; i < matchingFieldRefs.length; i++) {\n    /*\n     * Currently we have document fields that match the query, but we\n     * need to return documents. The matchData and scores are combined\n     * from multiple fields belonging to the same document.\n     *\n     * Scores are calculated by field, using the query vectors created\n     * above, and combined into a final document score using addition.\n     */\n    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n        docRef = fieldRef.docRef\n\n    if (!allRequiredMatches.contains(docRef)) {\n      continue\n    }\n\n    if (allProhibitedMatches.contains(docRef)) {\n      continue\n    }\n\n    var fieldVector = this.fieldVectors[fieldRef],\n        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n        docMatch\n\n    if ((docMatch = matches[docRef]) !== undefined) {\n      docMatch.score += score\n      docMatch.matchData.combine(matchingFields[fieldRef])\n    } else {\n      var match = {\n        ref: docRef,\n        score: score,\n        matchData: matchingFields[fieldRef]\n      }\n      matches[docRef] = match\n      results.push(match)\n    }\n  }\n\n  /*\n   * Sort the results objects by score, highest first.\n   */\n  return results.sort(function (a, b) {\n    return b.score - a.score\n  })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n  var invertedIndex = Object.keys(this.invertedIndex)\n    .sort()\n    .map(function (term) {\n      return [term, this.invertedIndex[term]]\n    }, this)\n\n  var fieldVectors = Object.keys(this.fieldVectors)\n    .map(function (ref) {\n      return [ref, this.fieldVectors[ref].toJSON()]\n    }, this)\n\n  return {\n    version: lunr.version,\n    fields: this.fields,\n    fieldVectors: fieldVectors,\n    invertedIndex: invertedIndex,\n    pipeline: this.pipeline.toJSON()\n  }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n  var attrs = {},\n      fieldVectors = {},\n      serializedVectors = serializedIndex.fieldVectors,\n      invertedIndex = Object.create(null),\n      serializedInvertedIndex = serializedIndex.invertedIndex,\n      tokenSetBuilder = new lunr.TokenSet.Builder,\n      pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n  if (serializedIndex.version != lunr.version) {\n    lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n  }\n\n  for (var i = 0; i < serializedVectors.length; i++) {\n    var tuple = serializedVectors[i],\n        ref = tuple[0],\n        elements = tuple[1]\n\n    fieldVectors[ref] = new lunr.Vector(elements)\n  }\n\n  for (var i = 0; i < serializedInvertedIndex.length; i++) {\n    var tuple = serializedInvertedIndex[i],\n        term = tuple[0],\n        posting = tuple[1]\n\n    tokenSetBuilder.insert(term)\n    invertedIndex[term] = posting\n  }\n\n  tokenSetBuilder.finish()\n\n  attrs.fields = serializedIndex.fields\n\n  attrs.fieldVectors = fieldVectors\n  attrs.invertedIndex = invertedIndex\n  attrs.tokenSet = tokenSetBuilder.root\n  attrs.pipeline = pipeline\n\n  return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n  this._ref = \"id\"\n  this._fields = Object.create(null)\n  this._documents = Object.create(null)\n  this.invertedIndex = Object.create(null)\n  this.fieldTermFrequencies = {}\n  this.fieldLengths = {}\n  this.tokenizer = lunr.tokenizer\n  this.pipeline = new lunr.Pipeline\n  this.searchPipeline = new lunr.Pipeline\n  this.documentCount = 0\n  this._b = 0.75\n  this._k1 = 1.2\n  this.termIndex = 0\n  this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n  this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example <caption>Extracting a nested field</caption>\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n  if (/\\//.test(fieldName)) {\n    throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n  }\n\n  this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n  if (number < 0) {\n    this._b = 0\n  } else if (number > 1) {\n    this._b = 1\n  } else {\n    this._b = number\n  }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n  this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n  var docRef = doc[this._ref],\n      fields = Object.keys(this._fields)\n\n  this._documents[docRef] = attributes || {}\n  this.documentCount += 1\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i],\n        extractor = this._fields[fieldName].extractor,\n        field = extractor ? extractor(doc) : doc[fieldName],\n        tokens = this.tokenizer(field, {\n          fields: [fieldName]\n        }),\n        terms = this.pipeline.run(tokens),\n        fieldRef = new lunr.FieldRef (docRef, fieldName),\n        fieldTerms = Object.create(null)\n\n    this.fieldTermFrequencies[fieldRef] = fieldTerms\n    this.fieldLengths[fieldRef] = 0\n\n    // store the length of this field for this document\n    this.fieldLengths[fieldRef] += terms.length\n\n    // calculate term frequencies for this field\n    for (var j = 0; j < terms.length; j++) {\n      var term = terms[j]\n\n      if (fieldTerms[term] == undefined) {\n        fieldTerms[term] = 0\n      }\n\n      fieldTerms[term] += 1\n\n      // add to inverted index\n      // create an initial posting if one doesn't exist\n      if (this.invertedIndex[term] == undefined) {\n        var posting = Object.create(null)\n        posting[\"_index\"] = this.termIndex\n        this.termIndex += 1\n\n        for (var k = 0; k < fields.length; k++) {\n          posting[fields[k]] = Object.create(null)\n        }\n\n        this.invertedIndex[term] = posting\n      }\n\n      // add an entry for this term/fieldName/docRef to the invertedIndex\n      if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n        this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n      }\n\n      // store all whitelisted metadata about this token in the\n      // inverted index\n      for (var l = 0; l < this.metadataWhitelist.length; l++) {\n        var metadataKey = this.metadataWhitelist[l],\n            metadata = term.metadata[metadataKey]\n\n        if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n          this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n        }\n\n        this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n      }\n    }\n\n  }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n  var fieldRefs = Object.keys(this.fieldLengths),\n      numberOfFields = fieldRefs.length,\n      accumulator = {},\n      documentsWithField = {}\n\n  for (var i = 0; i < numberOfFields; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        field = fieldRef.fieldName\n\n    documentsWithField[field] || (documentsWithField[field] = 0)\n    documentsWithField[field] += 1\n\n    accumulator[field] || (accumulator[field] = 0)\n    accumulator[field] += this.fieldLengths[fieldRef]\n  }\n\n  var fields = Object.keys(this._fields)\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i]\n    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n  }\n\n  this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n  var fieldVectors = {},\n      fieldRefs = Object.keys(this.fieldTermFrequencies),\n      fieldRefsLength = fieldRefs.length,\n      termIdfCache = Object.create(null)\n\n  for (var i = 0; i < fieldRefsLength; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        fieldName = fieldRef.fieldName,\n        fieldLength = this.fieldLengths[fieldRef],\n        fieldVector = new lunr.Vector,\n        termFrequencies = this.fieldTermFrequencies[fieldRef],\n        terms = Object.keys(termFrequencies),\n        termsLength = terms.length\n\n\n    var fieldBoost = this._fields[fieldName].boost || 1,\n        docBoost = this._documents[fieldRef.docRef].boost || 1\n\n    for (var j = 0; j < termsLength; j++) {\n      var term = terms[j],\n          tf = termFrequencies[term],\n          termIndex = this.invertedIndex[term]._index,\n          idf, score, scoreWithPrecision\n\n      if (termIdfCache[term] === undefined) {\n        idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n        termIdfCache[term] = idf\n      } else {\n        idf = termIdfCache[term]\n      }\n\n      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n      score *= fieldBoost\n      score *= docBoost\n      scoreWithPrecision = Math.round(score * 1000) / 1000\n      // Converts 1.23456789 to 1.234.\n      // Reducing the precision so that the vectors take up less\n      // space when serialised. Doing it now so that they behave\n      // the same before and after serialisation. Also, this is\n      // the fastest approach to reducing a number's precision in\n      // JavaScript.\n\n      fieldVector.insert(termIndex, scoreWithPrecision)\n    }\n\n    fieldVectors[fieldRef] = fieldVector\n  }\n\n  this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n  this.tokenSet = lunr.TokenSet.fromArray(\n    Object.keys(this.invertedIndex).sort()\n  )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n  this.calculateAverageFieldLengths()\n  this.createFieldVectors()\n  this.createTokenSet()\n\n  return new lunr.Index({\n    invertedIndex: this.invertedIndex,\n    fieldVectors: this.fieldVectors,\n    tokenSet: this.tokenSet,\n    fields: Object.keys(this._fields),\n    pipeline: this.searchPipeline\n  })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n  var args = Array.prototype.slice.call(arguments, 1)\n  args.unshift(this)\n  fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n  var clonedMetadata = Object.create(null),\n      metadataKeys = Object.keys(metadata || {})\n\n  // Cloning the metadata to prevent the original\n  // being mutated during match data combination.\n  // Metadata is kept in an array within the inverted\n  // index so cloning the data can be done with\n  // Array#slice\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n    clonedMetadata[key] = metadata[key].slice()\n  }\n\n  this.metadata = Object.create(null)\n\n  if (term !== undefined) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = clonedMetadata\n  }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n  var terms = Object.keys(otherMatchData.metadata)\n\n  for (var i = 0; i < terms.length; i++) {\n    var term = terms[i],\n        fields = Object.keys(otherMatchData.metadata[term])\n\n    if (this.metadata[term] == undefined) {\n      this.metadata[term] = Object.create(null)\n    }\n\n    for (var j = 0; j < fields.length; j++) {\n      var field = fields[j],\n          keys = Object.keys(otherMatchData.metadata[term][field])\n\n      if (this.metadata[term][field] == undefined) {\n        this.metadata[term][field] = Object.create(null)\n      }\n\n      for (var k = 0; k < keys.length; k++) {\n        var key = keys[k]\n\n        if (this.metadata[term][field][key] == undefined) {\n          this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n        } else {\n          this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n        }\n\n      }\n    }\n  }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n  if (!(term in this.metadata)) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  if (!(field in this.metadata[term])) {\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  var metadataKeys = Object.keys(metadata)\n\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n\n    if (key in this.metadata[term][field]) {\n      this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n    } else {\n      this.metadata[term][field][key] = metadata[key]\n    }\n  }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n  this.clauses = []\n  this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with trailing wildcard</caption>\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example <caption>query term with leading and trailing wildcard</caption>\n * query.term('foo', {\n *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with required presence</caption>\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n  /**\n   * Term's presence in a document is optional, this is the default value.\n   */\n  OPTIONAL: 1,\n\n  /**\n   * Term's presence in a document is required, documents that do not contain\n   * this term will not be returned.\n   */\n  REQUIRED: 2,\n\n  /**\n   * Term's presence in a document is prohibited, documents that do contain\n   * this term will not be returned.\n   */\n  PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n  if (!('fields' in clause)) {\n    clause.fields = this.allFields\n  }\n\n  if (!('boost' in clause)) {\n    clause.boost = 1\n  }\n\n  if (!('usePipeline' in clause)) {\n    clause.usePipeline = true\n  }\n\n  if (!('wildcard' in clause)) {\n    clause.wildcard = lunr.Query.wildcard.NONE\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n    clause.term = \"*\" + clause.term\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n    clause.term = \"\" + clause.term + \"*\"\n  }\n\n  if (!('presence' in clause)) {\n    clause.presence = lunr.Query.presence.OPTIONAL\n  }\n\n  this.clauses.push(clause)\n\n  return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n  for (var i = 0; i < this.clauses.length; i++) {\n    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n      return false\n    }\n  }\n\n  return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example <caption>adding a single term to a query</caption>\n * query.term(\"foo\")\n * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>\n * query.term(\"foo\", {\n *   fields: [\"title\"],\n *   boost: 10,\n *   wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n  if (Array.isArray(term)) {\n    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n    return this\n  }\n\n  var clause = options || {}\n  clause.term = term.toString()\n\n  this.clause(clause)\n\n  return this\n}\nlunr.QueryParseError = function (message, start, end) {\n  this.name = \"QueryParseError\"\n  this.message = message\n  this.start = start\n  this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n  this.lexemes = []\n  this.str = str\n  this.length = str.length\n  this.pos = 0\n  this.start = 0\n  this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n  var state = lunr.QueryLexer.lexText\n\n  while (state) {\n    state = state(this)\n  }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n  var subSlices = [],\n      sliceStart = this.start,\n      sliceEnd = this.pos\n\n  for (var i = 0; i < this.escapeCharPositions.length; i++) {\n    sliceEnd = this.escapeCharPositions[i]\n    subSlices.push(this.str.slice(sliceStart, sliceEnd))\n    sliceStart = sliceEnd + 1\n  }\n\n  subSlices.push(this.str.slice(sliceStart, this.pos))\n  this.escapeCharPositions.length = 0\n\n  return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n  this.lexemes.push({\n    type: type,\n    str: this.sliceString(),\n    start: this.start,\n    end: this.pos\n  })\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n  this.escapeCharPositions.push(this.pos - 1)\n  this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n  if (this.pos >= this.length) {\n    return lunr.QueryLexer.EOS\n  }\n\n  var char = this.str.charAt(this.pos)\n  this.pos += 1\n  return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n  return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n  if (this.start == this.pos) {\n    this.pos += 1\n  }\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n  this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n  var char, charCode\n\n  do {\n    char = this.next()\n    charCode = char.charCodeAt(0)\n  } while (charCode > 47 && charCode < 58)\n\n  if (char != lunr.QueryLexer.EOS) {\n    this.backup()\n  }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n  return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n  lexer.backup()\n  lexer.emit(lunr.QueryLexer.FIELD)\n  lexer.ignore()\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n  if (lexer.width() > 1) {\n    lexer.backup()\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n\n  lexer.ignore()\n\n  if (lexer.more()) {\n    return lunr.QueryLexer.lexText\n  }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.BOOST)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n  if (lexer.width() > 0) {\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n  while (true) {\n    var char = lexer.next()\n\n    if (char == lunr.QueryLexer.EOS) {\n      return lunr.QueryLexer.lexEOS\n    }\n\n    // Escape character is '\\'\n    if (char.charCodeAt(0) == 92) {\n      lexer.escapeCharacter()\n      continue\n    }\n\n    if (char == \":\") {\n      return lunr.QueryLexer.lexField\n    }\n\n    if (char == \"~\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexEditDistance\n    }\n\n    if (char == \"^\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexBoost\n    }\n\n    // \"+\" indicates term presence is required\n    // checking for length to ensure that only\n    // leading \"+\" are considered\n    if (char == \"+\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    // \"-\" indicates term presence is prohibited\n    // checking for length to ensure that only\n    // leading \"-\" are considered\n    if (char == \"-\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    if (char.match(lunr.QueryLexer.termSeparator)) {\n      return lunr.QueryLexer.lexTerm\n    }\n  }\n}\n\nlunr.QueryParser = function (str, query) {\n  this.lexer = new lunr.QueryLexer (str)\n  this.query = query\n  this.currentClause = {}\n  this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n  this.lexer.run()\n  this.lexemes = this.lexer.lexemes\n\n  var state = lunr.QueryParser.parseClause\n\n  while (state) {\n    state = state(this)\n  }\n\n  return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n  return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n  var lexeme = this.peekLexeme()\n  this.lexemeIdx += 1\n  return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n  var completedClause = this.currentClause\n  this.query.clause(completedClause)\n  this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n  var lexeme = parser.peekLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.type) {\n    case lunr.QueryLexer.PRESENCE:\n      return lunr.QueryParser.parsePresence\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n      if (lexeme.str.length >= 1) {\n        errorMessage += \" with value '\" + lexeme.str + \"'\"\n      }\n\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.str) {\n    case \"-\":\n      parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n      break\n    case \"+\":\n      parser.currentClause.presence = lunr.Query.presence.REQUIRED\n      break\n    default:\n      var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term or field, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n    var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n        errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.fields = [lexeme.str]\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  parser.currentClause.term = lexeme.str.toLowerCase()\n\n  if (lexeme.str.indexOf(\"*\") != -1) {\n    parser.currentClause.usePipeline = false\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var editDistance = parseInt(lexeme.str, 10)\n\n  if (isNaN(editDistance)) {\n    var errorMessage = \"edit distance must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.editDistance = editDistance\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var boost = parseInt(lexeme.str, 10)\n\n  if (isNaN(boost)) {\n    var errorMessage = \"boost must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.boost = boost\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\n  /**\n   * export the module via AMD, CommonJS or as a browser global\n   * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n   */\n  ;(function (root, factory) {\n    if (typeof define === 'function' && define.amd) {\n      // AMD. Register as an anonymous module.\n      define(factory)\n    } else if (typeof exports === 'object') {\n      /**\n       * Node. Does not work with strict CommonJS, but\n       * only CommonJS-like enviroments that support module.exports,\n       * like Node.\n       */\n      module.exports = factory()\n    } else {\n      // Browser globals (root is window)\n      root.lunr = factory()\n    }\n  }(this, function () {\n    /**\n     * Just return a value to define the module export.\n     * This example returns an object, but the module\n     * can return a function as the exported value.\n     */\n    return lunr\n  }))\n})();\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport { getElement } from \"~/browser/element/_\"\nimport \"~/polyfills\"\n\nimport { Search } from \"../../_\"\nimport { SearchConfig } from \"../../config\"\nimport {\n  SearchMessage,\n  SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for `iframe-worker` shim\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous shim implementation. The cool\n * thing is that awaiting a non-Promise will convert it into a Promise, so\n * extending the type definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n *\n * @param urls - Scripts to load\n *\n * @returns Promise resolving with no result\n */\ndeclare global {\n  function importScripts(...urls: string[]): Promise<void> | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages which are defined as part of the search configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n  config: SearchConfig\n): Promise<void> {\n  let base = \"../lunr\"\n\n  /* Detect `iframe-worker` and fix base URL */\n  if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n    const worker = getElement<HTMLScriptElement>(\"script[src]\")\n    const [path] = worker.src.split(\"/worker\")\n\n    /* Prefix base with path */\n    base = base.replace(\"..\", path)\n  }\n\n  /* Add scripts for languages */\n  const scripts = []\n  for (const lang of config.lang) {\n    switch (lang) {\n\n      /* Add segmenter for Japanese */\n      case \"ja\":\n        scripts.push(`${base}/tinyseg.js`)\n        break\n\n      /* Add segmenter for Hindi and Thai */\n      case \"hi\":\n      case \"th\":\n        scripts.push(`${base}/wordcut.js`)\n        break\n    }\n\n    /* Add language support */\n    if (lang !== \"en\")\n      scripts.push(`${base}/min/lunr.${lang}.min.js`)\n  }\n\n  /* Add multi-language support */\n  if (config.lang.length > 1)\n    scripts.push(`${base}/min/lunr.multi.min.js`)\n\n  /* Load scripts synchronously */\n  if (scripts.length)\n    await importScripts(\n      `${base}/min/lunr.stemmer.support.min.js`,\n      ...scripts\n    )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n  message: SearchMessage\n): Promise<SearchMessage> {\n  switch (message.type) {\n\n    /* Search setup message */\n    case SearchMessageType.SETUP:\n      await setupSearchLanguages(message.data.config)\n      index = new Search(message.data)\n      return {\n        type: SearchMessageType.READY\n      }\n\n    /* Search query message */\n    case SearchMessageType.QUERY:\n      const query = message.data\n      try {\n        return {\n          type: SearchMessageType.RESULT,\n          data: index.search(query)\n        }\n\n      /* Return empty result in case of error */\n      } catch (err) {\n        console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n        console.warn(err)\n        return {\n          type: SearchMessageType.RESULT,\n          data: { items: [] }\n        }\n      }\n\n    /* All other messages */\n    default:\n      throw new TypeError(\"Invalid message type\")\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* Expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n  postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T[]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T[] {\n  return Array.from(node.querySelectorAll<T>(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T {\n  const el = getOptionalElement<T>(selector, node)\n  if (typeof el === \"undefined\")\n    throw new ReferenceError(\n      `Missing element: expected \"${selector}\" to be present`\n    )\n\n  /* Return element */\n  return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T | undefined {\n  return node.querySelector<T>(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n  return (\n    document.activeElement?.shadowRoot?.activeElement as HTMLElement ??\n    document.activeElement as HTMLElement ??\n    undefined\n  )\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n  Object.entries = function (obj: object) {\n    const data: [string, string][] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push([key, obj[key]])\n\n    /* Return entries */\n    return data\n  }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n  Object.values = function (obj: object) {\n    const data: string[] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push(obj[key])\n\n    /* Return values */\n    return data\n  }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n  /* Polyfill `Element.scrollTo` */\n  if (!Element.prototype.scrollTo)\n    Element.prototype.scrollTo = function (\n      x?: ScrollToOptions | number, y?: number\n    ): void {\n      if (typeof x === \"object\") {\n        this.scrollLeft = x.left!\n        this.scrollTop = x.top!\n      } else {\n        this.scrollLeft = x!\n        this.scrollTop = y!\n      }\n    }\n\n  /* Polyfill `Element.replaceWith` */\n  if (!Element.prototype.replaceWith)\n    Element.prototype.replaceWith = function (\n      ...nodes: Array<string | Node>\n    ): void {\n      const parent = this.parentNode\n      if (parent) {\n        if (nodes.length === 0)\n          parent.removeChild(this)\n\n        /* Replace children and create text nodes */\n        for (let i = nodes.length - 1; i >= 0; i--) {\n          let node = nodes[i]\n          if (typeof node === \"string\")\n            node = document.createTextNode(node)\n          else if (node.parentNode)\n            node.parentNode.removeChild(node)\n\n          /* Replace child or insert before previous sibling */\n          if (!i)\n            parent.replaceChild(node, this)\n          else\n            parent.insertBefore(this.previousSibling!, node)\n        }\n      }\n    }\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search configuration\n */\nexport interface SearchConfig {\n  lang: string[]                       /* Search languages */\n  separator: string                    /* Search separator */\n  pipeline: SearchPipelineFn[]         /* Search pipeline */\n}\n\n/**\n * Search document\n */\nexport interface SearchDocument {\n  location: string                     /* Document location */\n  title: string                        /* Document title */\n  text: string                         /* Document text */\n  tags?: string[]                      /* Document tags */\n  boost?: number                       /* Document boost */\n  parent?: SearchDocument              /* Document parent */\n}\n\n/**\n * Search options\n */\nexport interface SearchOptions {\n  suggest: boolean                     /* Search suggestions */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport interface SearchIndex {\n  config: SearchConfig                 /* Search configuration */\n  docs: SearchDocument[]               /* Search documents */\n  options: SearchOptions               /* Search options */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search pipeline function\n */\ntype SearchPipelineFn =\n  | \"trimmer\"                          /* Trimmer */\n  | \"stopWordFilter\"                   /* Stop word filter */\n  | \"stemmer\"                          /* Stemmer */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document map\n *\n * This function creates a mapping of URLs (including anchors) to the actual\n * articles and sections. It relies on the invariant that the search index is\n * ordered with the main article appearing before all sections with anchors.\n * If this is not the case, the logic music be changed.\n *\n * @param docs - Search documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n  docs: SearchDocument[]\n): Map<string, SearchDocument> {\n  const map = new Map<string, SearchDocument>()\n  for (const doc of docs) {\n    const [path] = doc.location.split(\"#\")\n\n    /* Add document article */\n    const article = map.get(path)\n    if (typeof article === \"undefined\") {\n      map.set(path, doc)\n\n      /* Add document section */\n    } else {\n      map.set(doc.location, doc)\n      doc.parent = article\n    }\n  }\n\n  /* Return search document map */\n  return map\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string using the given separator\n *\n * @param input - Input value\n * @param separator - Separator\n * @param fn - Visitor function\n */\nexport function split(\n  input: string, separator: RegExp, fn: VisitorFn\n): void {\n  separator = new RegExp(separator, \"g\")\n\n  /* Split string using separator */\n  let match: RegExpExecArray | null\n  let index = 0\n  do {\n    match = separator.exec(input)\n\n    /* Emit non-empty range */\n    const until = match?.index ?? input.length\n    if (index < until)\n      fn(index, until)\n\n    /* Update last index */\n    if (match) {\n      const [term] = match\n      index = match.index + term.length\n\n      /* Support zero-length lookaheads */\n      if (term.length === 0)\n        separator.lastIndex = match.index + 1\n    }\n  } while (match)\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Extraction type\n *\n * This type defines the possible values that are encoded into the first two\n * bits of a section that is part of the blocks of a tokenization table. There\n * are three types of interest: HTML opening and closing tags, as well as the\n * actual text content we need to extract for indexing.\n */\nexport const enum Extract {\n  TAG_OPEN  = 0,                       /* HTML opening tag */\n  TEXT      = 1,                       /* Text content */\n  TAG_CLOSE = 2                        /* HTML closing tag */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param block - Block index\n * @param type - Extraction type\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  block: number, type: Extract, start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string into markup and text sections\n *\n * This function scans a string and divides it up into sections of markup and\n * text. For each section, it invokes the given visitor function with the block\n * index, extraction type, as well as start and end offsets. Using a visitor\n * function (= streaming data) is ideal for minimizing pressure on the GC.\n *\n * @param input - Input value\n * @param fn - Visitor function\n */\nexport function extract(\n  input: string, fn: VisitorFn\n): void {\n\n  let block = 0                        /* Current block */\n  let start = 0                        /* Current start offset */\n  let end = 0                          /* Current end offset */\n\n  /* Split string into sections */\n  for (let stack = 0; end < input.length; end++) {\n\n    /* Opening tag after non-empty section */\n    if (input.charAt(end) === \"<\" && end > start) {\n      fn(block, Extract.TEXT, start, start = end)\n\n    /* Closing tag */\n    } else if (input.charAt(end) === \">\") {\n      if (input.charAt(start + 1) === \"/\") {\n        if (--stack === 0)\n          fn(block++, Extract.TAG_CLOSE, start, end + 1)\n\n      /* Tag is not self-closing */\n      } else if (input.charAt(end - 1) !== \"/\") {\n        if (stack++ === 0)\n          fn(block, Extract.TAG_OPEN, start, end + 1)\n      }\n\n      /* New section */\n      start = end + 1\n    }\n  }\n\n  /* Add trailing section */\n  if (end > start)\n    fn(block, Extract.TEXT, start, end)\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Position table\n */\nexport type PositionTable = number[][]\n\n/**\n * Position\n */\nexport type Position = number\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Highlight all occurrences in a string\n *\n * This function receives a field's value (e.g. like `title` or `text`), it's\n * position table that was generated during indexing, and the positions found\n * when executing the query. It then highlights all occurrences, and returns\n * their concatenation. In case of multiple blocks, two are returned.\n *\n * @param input - Input value\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string value\n */\nexport function highlight(\n  input: string, table: PositionTable, positions: Position[], full = false\n): string {\n  return highlightAll([input], table, positions, full).pop()!\n}\n\n/**\n * Highlight all occurrences in a set of strings\n *\n * @param inputs - Input values\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string values\n */\nexport function highlightAll(\n  inputs: string[], table: PositionTable, positions: Position[], full = false\n): string[] {\n\n  /* Map blocks to input values */\n  const mapping = [0]\n  for (let t = 1; t < table.length; t++) {\n    const prev = table[t - 1]\n    const next = table[t]\n\n    /* Check if table points to new block */\n    const p = prev[prev.length - 1] >>> 2 & 0x3FF\n    const q = next[0]               >>> 12\n\n    /* Add block to mapping */\n    mapping.push(+(p > q) + mapping[mapping.length - 1])\n  }\n\n  /* Highlight strings one after another */\n  return inputs.map((input, i) => {\n    let cursor = 0\n\n    /* Map occurrences to blocks */\n    const blocks = new Map<number, number[]>()\n    for (const p of positions.sort((a, b) => a - b)) {\n      const index = p & 0xFFFFF\n      const block = p >>> 20\n      if (mapping[block] !== i)\n        continue\n\n      /* Ensure presence of block group */\n      let group = blocks.get(block)\n      if (typeof group === \"undefined\")\n        blocks.set(block, group = [])\n\n      /* Add index to group */\n      group.push(index)\n    }\n\n    /* Just return string, if no occurrences */\n    if (blocks.size === 0)\n      return input\n\n    /* Compute slices */\n    const slices: string[] = []\n    for (const [block, indexes] of blocks) {\n      const t = table[block]\n\n      /* Extract positions and length */\n      const start  = t[0]            >>> 12\n      const end    = t[t.length - 1] >>> 12\n      const length = t[t.length - 1] >>> 2 & 0x3FF\n\n      /* Add prefix, if full results are desired */\n      if (full && start > cursor)\n        slices.push(input.slice(cursor, start))\n\n      /* Extract and highlight slice */\n      let slice = input.slice(start, end + length)\n      for (const j of indexes.sort((a, b) => b - a)) {\n\n        /* Retrieve offset and length of match */\n        const p = (t[j] >>> 12) - start\n        const q = (t[j] >>> 2 & 0x3FF) + p\n\n        /* Wrap occurrence */\n        slice = [\n          slice.slice(0, p),\n          \"<mark>\",\n          slice.slice(p, q),\n          \"</mark>\",\n          slice.slice(q)\n        ].join(\"\")\n      }\n\n      /* Update cursor */\n      cursor = end + length\n\n      /* Append slice and abort if we have two */\n      if (slices.push(slice) === 2)\n        break\n    }\n\n    /* Add suffix, if full results are desired */\n    if (full && cursor < input.length)\n      slices.push(input.slice(cursor))\n\n    /* Return highlighted slices */\n    return slices.join(\"\")\n  })\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../_\"\nimport {\n  Extract,\n  extract\n} from \"../extract\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string or set of strings into tokens\n *\n * This tokenizer supersedes the default tokenizer that is provided by Lunr.js,\n * as it is aware of HTML tags and allows for multi-character splitting.\n *\n * It takes the given inputs, splits each of them into markup and text sections,\n * tokenizes and segments (if necessary) each of them, and then indexes them in\n * a table by using a compact bit representation. Bitwise techniques are used\n * to write and read from the table during indexing and querying.\n *\n * @see https://bit.ly/3W3Xw4J - Search: better, faster, smaller\n *\n * @param input - Input value(s)\n *\n * @returns Tokens\n */\nexport function tokenize(\n  input?: string | string[]\n): lunr.Token[] {\n  const tokens: lunr.Token[] = []\n  if (typeof input === \"undefined\")\n    return tokens\n\n  /* Tokenize strings one after another */\n  const inputs = Array.isArray(input) ? input : [input]\n  for (let i = 0; i < inputs.length; i++) {\n    const table = lunr.tokenizer.table\n    const total = table.length\n\n    /* Split string into sections and tokenize content blocks */\n    extract(inputs[i], (block, type, start, end) => {\n      table[block += total] ||= []\n      switch (type) {\n\n        /* Handle markup */\n        case Extract.TAG_OPEN:\n        case Extract.TAG_CLOSE:\n          table[block].push(\n            start       << 12 |\n            end - start <<  2 |\n            type\n          )\n          break\n\n        /* Handle text content */\n        case Extract.TEXT:\n          const section = inputs[i].slice(start, end)\n          split(section, lunr.tokenizer.separator, (index, until) => {\n\n            /**\n             * Apply segmenter after tokenization. Note that the segmenter will\n             * also split words at word boundaries, which is not what we want,\n             * so we need to check if we can somehow mitigate this behavior.\n             */\n            if (typeof lunr.segmenter !== \"undefined\") {\n              const subsection = section.slice(index, until)\n              if (/^[MHIK]$/.test(lunr.segmenter.ctype_(subsection))) {\n                const segments = lunr.segmenter.segment(subsection)\n                for (let s = 0, l = 0; s < segments.length; s++) {\n\n                  /* Add block to section */\n                  table[block] ||= []\n                  table[block].push(\n                    start + index + l  << 12 |\n                    segments[s].length <<  2 |\n                    type\n                  )\n\n                  /* Add token with position */\n                  tokens.push(new lunr.Token(\n                    segments[s].toLowerCase(), {\n                      position: block << 20 | table[block].length - 1\n                    }\n                  ))\n\n                  /* Keep track of length */\n                  l += segments[s].length\n                }\n                return\n              }\n            }\n\n            /* Add block to section */\n            table[block].push(\n              start + index << 12 |\n              until - index <<  2 |\n              type\n            )\n\n            /* Add token with position */\n            tokens.push(new lunr.Token(\n              section.slice(index, until).toLowerCase(), {\n                position: block << 20 | table[block].length - 1\n              }\n            ))\n          })\n      }\n    })\n  }\n\n  /* Return tokens */\n  return tokens\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param value - String value\n *\n * @returns String term(s)\n */\ntype VisitorFn = (\n  value: string\n) => string | string[]\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Trim excess whitespace from left and right.\n *\n * 2. Search for parts in quotation marks and prepend a `+` modifier to denote\n *    that the resulting document must contain all parts, converting the query\n *    to an `AND` query (as opposed to the default `OR` behavior). While users\n *    may expect parts enclosed in quotation marks to map to span queries, i.e.\n *    for which order is important, Lunr.js doesn't support them, so the best\n *    we can do is to convert the parts to an `AND` query.\n *\n * 3. Replace control characters which are not located at the beginning of the\n *    query or preceded by white space, or are not followed by a non-whitespace\n *    character or are at the end of the query string. Furthermore, filter\n *    unmatched quotation marks.\n *\n * 4. Split the query string at whitespace, then pass each part to the visitor\n *    function for tokenization, and append a wildcard to every resulting term\n *    that is not explicitly marked with a `+`, `-`, `~` or `^` modifier, since\n *    it ensures consistent and stable ranking when multiple terms are entered.\n *    Also, if a fuzzy or boost modifier are given, but no numeric value has\n *    been entered, default to 1 to not induce a query error.\n *\n * @param query - Query value\n * @param fn - Visitor function\n *\n * @returns Transformed query value\n */\nexport function transform(\n  query: string, fn: VisitorFn = term => term\n): string {\n  return query\n\n    /* => 1 */\n    .trim()\n\n    /* => 2 */\n    .split(/\"([^\"]+)\"/g)\n      .map((parts, index) => index & 1\n        ? parts.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n        : parts\n      )\n      .join(\"\")\n\n    /* => 3 */\n    .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\")\n\n    /* => 4 */\n    .split(/\\s+/g)\n      .reduce((prev, term) => {\n        const next = fn(term)\n        return [...prev, ...Array.isArray(next) ? next : [next]]\n      }, [] as string[])\n      .map(term => /([~^]$)/.test(term) ? `${term}1` : term)\n      .map(term => /(^[+-]|[~^]\\d+$)/.test(term) ? term : `${term}*`)\n      .join(\" \")\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../../internal\"\nimport { transform } from \"../transform\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n  presence: lunr.Query.presence        /* Clause presence */\n  term: string                         /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record<string, boolean>\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Transform search query\n *\n * This function lexes the given search query and applies the transformation\n * function to each term, preserving markup like `+` and `-` modifiers.\n *\n * @param query - Search query\n *\n * @returns Search query\n */\nexport function transformSearchQuery(\n  query: string\n): string {\n\n  /* Split query terms with tokenizer */\n  return transform(query, part => {\n    const terms: string[] = []\n\n    /* Initialize lexer and analyze part */\n    const lexer = new lunr.QueryLexer(part)\n    lexer.run()\n\n    /* Extract and tokenize term from lexeme */\n    for (const { type, str: term, start, end } of lexer.lexemes)\n      switch (type) {\n\n        /* Hack: remove colon - see https://bit.ly/3wD3T3I */\n        case \"FIELD\":\n          if (![\"title\", \"text\", \"tags\"].includes(term))\n            part = [\n              part.slice(0, end),\n              \" \",\n              part.slice(end + 1)\n            ].join(\"\")\n          break\n\n        /* Tokenize term */\n        case \"TERM\":\n          split(term, lunr.tokenizer.separator, (...range) => {\n            terms.push([\n              part.slice(0, start),\n              term.slice(...range),\n              part.slice(end)\n            ].join(\"\"))\n          })\n      }\n\n    /* Return terms */\n    return terms\n  })\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * Lunr.js itself has a bug where it doesn't detect or remove wildcards for\n * query clauses, so we must do this here.\n *\n * @see https://bit.ly/3DpTGtz - GitHub issue\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n  value: string\n): SearchQueryClause[] {\n  const query  = new lunr.Query([\"title\", \"text\", \"tags\"])\n  const parser = new lunr.QueryParser(value, query)\n\n  /* Parse Search query */\n  parser.parse()\n  for (const clause of query.clauses) {\n    clause.usePipeline = true\n\n    /* Handle leading wildcard */\n    if (clause.term.startsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.LEADING\n      clause.term = clause.term.slice(1)\n    }\n\n    /* Handle trailing wildcard */\n    if (clause.term.endsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.TRAILING\n      clause.term = clause.term.slice(0, -1)\n    }\n  }\n\n  /* Return query clauses */\n  return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n  query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n  const clauses = new Set<SearchQueryClause>(query)\n\n  /* Match query clauses against terms */\n  const result: SearchQueryTerms = {}\n  for (let t = 0; t < terms.length; t++)\n    for (const clause of clauses)\n      if (terms[t].startsWith(clause.term)) {\n        result[clause.term] = true\n        clauses.delete(clause)\n      }\n\n  /* Annotate unmatched non-stopword query clauses */\n  for (const clause of clauses)\n    if (lunr.stopWordFilter?.(clause.term))\n      result[clause.term] = false\n\n  /* Return query terms */\n  return result\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Segment a search query using the inverted index\n *\n * This function implements a clever approach to text segmentation for Asian\n * languages, as it used the information already available in the search index.\n * The idea is to greedily segment the search query based on the tokens that are\n * already part of the index, as described in the linked issue.\n *\n * @see https://bit.ly/3lwjrk7 - GitHub issue\n *\n * @param query - Query value\n * @param index - Inverted index\n *\n * @returns Segmented query value\n */\nexport function segment(\n  query: string, index: object\n): Iterable<string> {\n  const segments = new Set<string>()\n\n  /* Segment search query */\n  const wordcuts = new Uint16Array(query.length)\n  for (let i = 0; i < query.length; i++)\n    for (let j = i + 1; j < query.length; j++) {\n      const value = query.slice(i, j)\n      if (value in index)\n        wordcuts[i] = j - i\n    }\n\n  /* Compute longest matches with minimum overlap */\n  const stack = [0]\n  for (let s = stack.length; s > 0;) {\n    const p = stack[--s]\n    for (let q = 1; q < wordcuts[p]; q++)\n      if (wordcuts[p + q] > wordcuts[p] - q) {\n        segments.add(query.slice(p, p + q))\n        stack[s++] = p + q\n      }\n\n    /* Continue at end of query string */\n    const q = p + wordcuts[p]\n    if (wordcuts[q] && q < query.length - 1)\n      stack[s++] = q\n\n    /* Add current segment */\n    segments.add(query.slice(p, q))\n  }\n\n  // @todo fix this case in the code block above, this is a hotfix\n  if (segments.has(\"\"))\n    return new Set([query])\n\n  /* Return segmented query value */\n  return segments\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  SearchDocument,\n  SearchIndex,\n  SearchOptions,\n  setupSearchDocumentMap\n} from \"../config\"\nimport {\n  Position,\n  PositionTable,\n  highlight,\n  highlightAll,\n  tokenize\n} from \"../internal\"\nimport {\n  SearchQueryTerms,\n  getSearchQueryTerms,\n  parseSearchQuery,\n  segment,\n  transformSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search item\n */\nexport interface SearchItem\n  extends SearchDocument\n{\n  score: number                        /* Score (relevance) */\n  terms: SearchQueryTerms              /* Search query terms */\n}\n\n/**\n * Search result\n */\nexport interface SearchResult {\n  items: SearchItem[][]                /* Search items */\n  suggest?: string[]                   /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create field extractor factory\n *\n * @param table - Position table map\n *\n * @returns Extractor factory\n */\nfunction extractor(table: Map<string, PositionTable>) {\n  return (name: keyof SearchDocument) => {\n    return (doc: SearchDocument) => {\n      if (typeof doc[name] === \"undefined\")\n        return undefined\n\n      /* Compute identifier and initialize table */\n      const id = [doc.location, name].join(\":\")\n      table.set(id, lunr.tokenizer.table = [])\n\n      /* Return field value */\n      return doc[name]\n    }\n  }\n}\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n  const [x, y] = [new Set(a), new Set(b)]\n  return [\n    ...new Set([...x].filter(value => !y.has(value)))\n  ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n  /**\n   * Search document map\n   */\n  protected map: Map<string, SearchDocument>\n\n  /**\n   * Search options\n   */\n  protected options: SearchOptions\n\n  /**\n   * The underlying Lunr.js search index\n   */\n  protected index: lunr.Index\n\n  /**\n   * Internal position table map\n   */\n  protected table: Map<string, PositionTable>\n\n  /**\n   * Create the search integration\n   *\n   * @param data - Search index\n   */\n  public constructor({ config, docs, options }: SearchIndex) {\n    const field = extractor(this.table = new Map())\n\n    /* Set up document map and options */\n    this.map = setupSearchDocumentMap(docs)\n    this.options = options\n\n    /* Set up document index */\n    this.index = lunr(function () {\n      this.metadataWhitelist = [\"position\"]\n      this.b(0)\n\n      /* Set up (multi-)language support */\n      if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n        // @ts-expect-error - namespace indexing not supported\n        this.use(lunr[config.lang[0]])\n      } else if (config.lang.length > 1) {\n        this.use(lunr.multiLanguage(...config.lang))\n      }\n\n      /* Set up custom tokenizer (must be after language setup) */\n      this.tokenizer = tokenize as typeof lunr.tokenizer\n      lunr.tokenizer.separator = new RegExp(config.separator)\n\n      /* Set up custom segmenter, if loaded */\n      lunr.segmenter = \"TinySegmenter\" in lunr\n        ? new lunr.TinySegmenter()\n        : undefined\n\n      /* Compute functions to be removed from the pipeline */\n      const fns = difference([\n        \"trimmer\", \"stopWordFilter\", \"stemmer\"\n      ], config.pipeline)\n\n      /* Remove functions from the pipeline for registered languages */\n      for (const lang of config.lang.map(language => (\n        // @ts-expect-error - namespace indexing not supported\n        language === \"en\" ? lunr : lunr[language]\n      )))\n        for (const fn of fns) {\n          this.pipeline.remove(lang[fn])\n          this.searchPipeline.remove(lang[fn])\n        }\n\n      /* Set up index reference */\n      this.ref(\"location\")\n\n      /* Set up index fields */\n      this.field(\"title\", { boost: 1e3, extractor: field(\"title\") })\n      this.field(\"text\",  { boost: 1e0, extractor: field(\"text\") })\n      this.field(\"tags\",  { boost: 1e6, extractor: field(\"tags\") })\n\n      /* Add documents to index */\n      for (const doc of docs)\n        this.add(doc, { boost: doc.boost })\n    })\n  }\n\n  /**\n   * Search for matching documents\n   *\n   * @param query - Search query\n   *\n   * @returns Search result\n   */\n  public search(query: string): SearchResult {\n\n    // Experimental Chinese segmentation\n    query = query.replace(/\\p{sc=Han}+/gu, value => {\n      return [...segment(value, this.index.invertedIndex)]\n        .join(\"* \")\n    })\n\n    // @todo: move segmenter (above) into transformSearchQuery\n    query = transformSearchQuery(query)\n    if (!query)\n      return { items: [] }\n\n    /* Parse query to extract clauses for analysis */\n    const clauses = parseSearchQuery(query)\n      .filter(clause => (\n        clause.presence !== lunr.Query.presence.PROHIBITED\n      ))\n\n    /* Perform search and post-process results */\n    const groups = this.index.search(query)\n\n      /* Apply post-query boosts based on title and search query terms */\n      .reduce<SearchItem[]>((item, { ref, score, matchData }) => {\n        let doc = this.map.get(ref)\n        if (typeof doc !== \"undefined\") {\n\n          /* Shallow copy document */\n          doc = { ...doc }\n          if (doc.tags)\n            doc.tags = [...doc.tags]\n\n          /* Compute and analyze search query terms */\n          const terms = getSearchQueryTerms(\n            clauses,\n            Object.keys(matchData.metadata)\n          )\n\n          /* Highlight matches in fields */\n          for (const field of this.index.fields) {\n            if (typeof doc[field] === \"undefined\")\n              continue\n\n            /* Collect positions from matches */\n            const positions: Position[] = []\n            for (const match of Object.values(matchData.metadata))\n              if (typeof match[field] !== \"undefined\")\n                positions.push(...match[field].position)\n\n            /* Skip highlighting, if no positions were collected */\n            if (!positions.length)\n              continue\n\n            /* Load table and determine highlighting method */\n            const table = this.table.get([doc.location, field].join(\":\"))!\n            const fn = Array.isArray(doc[field])\n              ? highlightAll\n              : highlight\n\n            // @ts-expect-error - stop moaning, TypeScript!\n            doc[field] = fn(doc[field], table, positions, field !== \"text\")\n          }\n\n          /* Highlight title and text and apply post-query boosts */\n          const boost = +!doc.parent +\n            Object.values(terms)\n              .filter(t => t).length /\n            Object.keys(terms).length\n\n          /* Append item */\n          item.push({\n            ...doc,\n            score: score * (1 + boost ** 2),\n            terms\n          })\n        }\n        return item\n      }, [])\n\n      /* Sort search results again after applying boosts */\n      .sort((a, b) => b.score - a.score)\n\n      /* Group search results by article */\n      .reduce((items, result) => {\n        const doc = this.map.get(result.location)\n        if (typeof doc !== \"undefined\") {\n          const ref = doc.parent\n            ? doc.parent.location\n            : doc.location\n          items.set(ref, [...items.get(ref) || [], result])\n        }\n        return items\n      }, new Map<string, SearchItem[]>())\n\n    /* Ensure that every item set has an article */\n    for (const [ref, items] of groups)\n      if (!items.find(item => item.location === ref)) {\n        const doc = this.map.get(ref)!\n        items.push({ ...doc, score: 0, terms: {} })\n      }\n\n    /* Generate search suggestions, if desired */\n    let suggest: string[] | undefined\n    if (this.options.suggest) {\n      const titles = this.index.query(builder => {\n        for (const clause of clauses)\n          builder.term(clause.term, {\n            fields: [\"title\"],\n            presence: lunr.Query.presence.REQUIRED,\n            wildcard: lunr.Query.wildcard.TRAILING\n          })\n      })\n\n      /* Retrieve suggestions for best match */\n      suggest = titles.length\n        ? Object.keys(titles[0].matchData.metadata)\n        : []\n    }\n\n    /* Return search result */\n    return {\n      items: [...groups.values()],\n      ...typeof suggest !== \"undefined\" && { suggest }\n    }\n  }\n}\n"],
-  "mappings": 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+  "sourcesContent": ["/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n *   this.field('title')\n *   this.field('body')\n *   this.ref('id')\n *\n *   documents.forEach(function (doc) {\n *     this.add(doc)\n *   }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n  var builder = new lunr.Builder\n\n  builder.pipeline.add(\n    lunr.trimmer,\n    lunr.stopWordFilter,\n    lunr.stemmer\n  )\n\n  builder.searchPipeline.add(\n    lunr.stemmer\n  )\n\n  config.call(builder, builder)\n  return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n  /* eslint-disable no-console */\n  return function (message) {\n    if (global.console && console.warn) {\n      console.warn(message)\n    }\n  }\n  /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n  if (obj === void 0 || obj === null) {\n    return \"\"\n  } else {\n    return obj.toString()\n  }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n  if (obj === null || obj === undefined) {\n    return obj\n  }\n\n  var clone = Object.create(null),\n      keys = Object.keys(obj)\n\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i],\n        val = obj[key]\n\n    if (Array.isArray(val)) {\n      clone[key] = val.slice()\n      continue\n    }\n\n    if (typeof val === 'string' ||\n        typeof val === 'number' ||\n        typeof val === 'boolean') {\n      clone[key] = val\n      continue\n    }\n\n    throw new TypeError(\"clone is not deep and does not support nested objects\")\n  }\n\n  return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n  this.docRef = docRef\n  this.fieldName = fieldName\n  this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n  var n = s.indexOf(lunr.FieldRef.joiner)\n\n  if (n === -1) {\n    throw \"malformed field ref string\"\n  }\n\n  var fieldRef = s.slice(0, n),\n      docRef = s.slice(n + 1)\n\n  return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n  if (this._stringValue == undefined) {\n    this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n  }\n\n  return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n  this.elements = Object.create(null)\n\n  if (elements) {\n    this.length = elements.length\n\n    for (var i = 0; i < this.length; i++) {\n      this.elements[elements[i]] = true\n    }\n  } else {\n    this.length = 0\n  }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n  intersect: function (other) {\n    return other\n  },\n\n  union: function () {\n    return this\n  },\n\n  contains: function () {\n    return true\n  }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n  intersect: function () {\n    return this\n  },\n\n  union: function (other) {\n    return other\n  },\n\n  contains: function () {\n    return false\n  }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n  return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n  var a, b, elements, intersection = []\n\n  if (other === lunr.Set.complete) {\n    return this\n  }\n\n  if (other === lunr.Set.empty) {\n    return other\n  }\n\n  if (this.length < other.length) {\n    a = this\n    b = other\n  } else {\n    a = other\n    b = this\n  }\n\n  elements = Object.keys(a.elements)\n\n  for (var i = 0; i < elements.length; i++) {\n    var element = elements[i]\n    if (element in b.elements) {\n      intersection.push(element)\n    }\n  }\n\n  return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n  if (other === lunr.Set.complete) {\n    return lunr.Set.complete\n  }\n\n  if (other === lunr.Set.empty) {\n    return this\n  }\n\n  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n  var documentsWithTerm = 0\n\n  for (var fieldName in posting) {\n    if (fieldName == '_index') continue // Ignore the term index, its not a field\n    documentsWithTerm += Object.keys(posting[fieldName]).length\n  }\n\n  var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n  return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n  this.str = str || \"\"\n  this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n  return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n *   return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n  this.str = fn(this.str, this.metadata)\n  return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n  fn = fn || function (s) { return s }\n  return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n  if (obj == null || obj == undefined) {\n    return []\n  }\n\n  if (Array.isArray(obj)) {\n    return obj.map(function (t) {\n      return new lunr.Token(\n        lunr.utils.asString(t).toLowerCase(),\n        lunr.utils.clone(metadata)\n      )\n    })\n  }\n\n  var str = obj.toString().toLowerCase(),\n      len = str.length,\n      tokens = []\n\n  for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n    var char = str.charAt(sliceEnd),\n        sliceLength = sliceEnd - sliceStart\n\n    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n      if (sliceLength > 0) {\n        var tokenMetadata = lunr.utils.clone(metadata) || {}\n        tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n        tokenMetadata[\"index\"] = tokens.length\n\n        tokens.push(\n          new lunr.Token (\n            str.slice(sliceStart, sliceEnd),\n            tokenMetadata\n          )\n        )\n      }\n\n      sliceStart = sliceEnd + 1\n    }\n\n  }\n\n  return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n  this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n  if (label in this.registeredFunctions) {\n    lunr.utils.warn('Overwriting existing registered function: ' + label)\n  }\n\n  fn.label = label\n  lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n  var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n  if (!isRegistered) {\n    lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n  }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n  var pipeline = new lunr.Pipeline\n\n  serialised.forEach(function (fnName) {\n    var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n    if (fn) {\n      pipeline.add(fn)\n    } else {\n      throw new Error('Cannot load unregistered function: ' + fnName)\n    }\n  })\n\n  return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n  var fns = Array.prototype.slice.call(arguments)\n\n  fns.forEach(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n    this._stack.push(fn)\n  }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  pos = pos + 1\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n  var pos = this._stack.indexOf(existingFn)\n  if (pos == -1) {\n    throw new Error('Cannot find existingFn')\n  }\n\n  this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n  var pos = this._stack.indexOf(fn)\n  if (pos == -1) {\n    return\n  }\n\n  this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n  var stackLength = this._stack.length\n\n  for (var i = 0; i < stackLength; i++) {\n    var fn = this._stack[i]\n    var memo = []\n\n    for (var j = 0; j < tokens.length; j++) {\n      var result = fn(tokens[j], j, tokens)\n\n      if (result === null || result === void 0 || result === '') continue\n\n      if (Array.isArray(result)) {\n        for (var k = 0; k < result.length; k++) {\n          memo.push(result[k])\n        }\n      } else {\n        memo.push(result)\n      }\n    }\n\n    tokens = memo\n  }\n\n  return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n  var token = new lunr.Token (str, metadata)\n\n  return this.run([token]).map(function (t) {\n    return t.toString()\n  })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n  this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n  return this._stack.map(function (fn) {\n    lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n    return fn.label\n  })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n  this._magnitude = 0\n  this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n  // For an empty vector the tuple can be inserted at the beginning\n  if (this.elements.length == 0) {\n    return 0\n  }\n\n  var start = 0,\n      end = this.elements.length / 2,\n      sliceLength = end - start,\n      pivotPoint = Math.floor(sliceLength / 2),\n      pivotIndex = this.elements[pivotPoint * 2]\n\n  while (sliceLength > 1) {\n    if (pivotIndex < index) {\n      start = pivotPoint\n    }\n\n    if (pivotIndex > index) {\n      end = pivotPoint\n    }\n\n    if (pivotIndex == index) {\n      break\n    }\n\n    sliceLength = end - start\n    pivotPoint = start + Math.floor(sliceLength / 2)\n    pivotIndex = this.elements[pivotPoint * 2]\n  }\n\n  if (pivotIndex == index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex > index) {\n    return pivotPoint * 2\n  }\n\n  if (pivotIndex < index) {\n    return (pivotPoint + 1) * 2\n  }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n  this.upsert(insertIdx, val, function () {\n    throw \"duplicate index\"\n  })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n  this._magnitude = 0\n  var position = this.positionForIndex(insertIdx)\n\n  if (this.elements[position] == insertIdx) {\n    this.elements[position + 1] = fn(this.elements[position + 1], val)\n  } else {\n    this.elements.splice(position, 0, insertIdx, val)\n  }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n  if (this._magnitude) return this._magnitude\n\n  var sumOfSquares = 0,\n      elementsLength = this.elements.length\n\n  for (var i = 1; i < elementsLength; i += 2) {\n    var val = this.elements[i]\n    sumOfSquares += val * val\n  }\n\n  return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n  var dotProduct = 0,\n      a = this.elements, b = otherVector.elements,\n      aLen = a.length, bLen = b.length,\n      aVal = 0, bVal = 0,\n      i = 0, j = 0\n\n  while (i < aLen && j < bLen) {\n    aVal = a[i], bVal = b[j]\n    if (aVal < bVal) {\n      i += 2\n    } else if (aVal > bVal) {\n      j += 2\n    } else if (aVal == bVal) {\n      dotProduct += a[i + 1] * b[j + 1]\n      i += 2\n      j += 2\n    }\n  }\n\n  return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n  return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n  var output = new Array (this.elements.length / 2)\n\n  for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n    output[j] = this.elements[i]\n  }\n\n  return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n  return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n  var step2list = {\n      \"ational\" : \"ate\",\n      \"tional\" : \"tion\",\n      \"enci\" : \"ence\",\n      \"anci\" : \"ance\",\n      \"izer\" : \"ize\",\n      \"bli\" : \"ble\",\n      \"alli\" : \"al\",\n      \"entli\" : \"ent\",\n      \"eli\" : \"e\",\n      \"ousli\" : \"ous\",\n      \"ization\" : \"ize\",\n      \"ation\" : \"ate\",\n      \"ator\" : \"ate\",\n      \"alism\" : \"al\",\n      \"iveness\" : \"ive\",\n      \"fulness\" : \"ful\",\n      \"ousness\" : \"ous\",\n      \"aliti\" : \"al\",\n      \"iviti\" : \"ive\",\n      \"biliti\" : \"ble\",\n      \"logi\" : \"log\"\n    },\n\n    step3list = {\n      \"icate\" : \"ic\",\n      \"ative\" : \"\",\n      \"alize\" : \"al\",\n      \"iciti\" : \"ic\",\n      \"ical\" : \"ic\",\n      \"ful\" : \"\",\n      \"ness\" : \"\"\n    },\n\n    c = \"[^aeiou]\",          // consonant\n    v = \"[aeiouy]\",          // vowel\n    C = c + \"[^aeiouy]*\",    // consonant sequence\n    V = v + \"[aeiou]*\",      // vowel sequence\n\n    mgr0 = \"^(\" + C + \")?\" + V + C,               // [C]VC... is m>0\n    meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\",  // [C]VC[V] is m=1\n    mgr1 = \"^(\" + C + \")?\" + V + C + V + C,       // [C]VCVC... is m>1\n    s_v = \"^(\" + C + \")?\" + v;                   // vowel in stem\n\n  var re_mgr0 = new RegExp(mgr0);\n  var re_mgr1 = new RegExp(mgr1);\n  var re_meq1 = new RegExp(meq1);\n  var re_s_v = new RegExp(s_v);\n\n  var re_1a = /^(.+?)(ss|i)es$/;\n  var re2_1a = /^(.+?)([^s])s$/;\n  var re_1b = /^(.+?)eed$/;\n  var re2_1b = /^(.+?)(ed|ing)$/;\n  var re_1b_2 = /.$/;\n  var re2_1b_2 = /(at|bl|iz)$/;\n  var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n  var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var re_1c = /^(.+?[^aeiou])y$/;\n  var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n  var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n  var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n  var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n  var re_5 = /^(.+?)e$/;\n  var re_5_1 = /ll$/;\n  var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n  var porterStemmer = function porterStemmer(w) {\n    var stem,\n      suffix,\n      firstch,\n      re,\n      re2,\n      re3,\n      re4;\n\n    if (w.length < 3) { return w; }\n\n    firstch = w.substr(0,1);\n    if (firstch == \"y\") {\n      w = firstch.toUpperCase() + w.substr(1);\n    }\n\n    // Step 1a\n    re = re_1a\n    re2 = re2_1a;\n\n    if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n    else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n    // Step 1b\n    re = re_1b;\n    re2 = re2_1b;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      re = re_mgr0;\n      if (re.test(fp[1])) {\n        re = re_1b_2;\n        w = w.replace(re,\"\");\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1];\n      re2 = re_s_v;\n      if (re2.test(stem)) {\n        w = stem;\n        re2 = re2_1b_2;\n        re3 = re3_1b_2;\n        re4 = re4_1b_2;\n        if (re2.test(w)) { w = w + \"e\"; }\n        else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n        else if (re4.test(w)) { w = w + \"e\"; }\n      }\n    }\n\n    // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n    re = re_1c;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      w = stem + \"i\";\n    }\n\n    // Step 2\n    re = re_2;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step2list[suffix];\n      }\n    }\n\n    // Step 3\n    re = re_3;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      suffix = fp[2];\n      re = re_mgr0;\n      if (re.test(stem)) {\n        w = stem + step3list[suffix];\n      }\n    }\n\n    // Step 4\n    re = re_4;\n    re2 = re2_4;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      if (re.test(stem)) {\n        w = stem;\n      }\n    } else if (re2.test(w)) {\n      var fp = re2.exec(w);\n      stem = fp[1] + fp[2];\n      re2 = re_mgr1;\n      if (re2.test(stem)) {\n        w = stem;\n      }\n    }\n\n    // Step 5\n    re = re_5;\n    if (re.test(w)) {\n      var fp = re.exec(w);\n      stem = fp[1];\n      re = re_mgr1;\n      re2 = re_meq1;\n      re3 = re3_5;\n      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n        w = stem;\n      }\n    }\n\n    re = re_5_1;\n    re2 = re_mgr1;\n    if (re.test(w) && re2.test(w)) {\n      re = re_1b_2;\n      w = w.replace(re,\"\");\n    }\n\n    // and turn initial Y back to y\n\n    if (firstch == \"y\") {\n      w = firstch.toLowerCase() + w.substr(1);\n    }\n\n    return w;\n  };\n\n  return function (token) {\n    return token.update(porterStemmer);\n  }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n  var words = stopWords.reduce(function (memo, stopWord) {\n    memo[stopWord] = stopWord\n    return memo\n  }, {})\n\n  return function (token) {\n    if (token && words[token.toString()] !== token.toString()) return token\n  }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n  'a',\n  'able',\n  'about',\n  'across',\n  'after',\n  'all',\n  'almost',\n  'also',\n  'am',\n  'among',\n  'an',\n  'and',\n  'any',\n  'are',\n  'as',\n  'at',\n  'be',\n  'because',\n  'been',\n  'but',\n  'by',\n  'can',\n  'cannot',\n  'could',\n  'dear',\n  'did',\n  'do',\n  'does',\n  'either',\n  'else',\n  'ever',\n  'every',\n  'for',\n  'from',\n  'get',\n  'got',\n  'had',\n  'has',\n  'have',\n  'he',\n  'her',\n  'hers',\n  'him',\n  'his',\n  'how',\n  'however',\n  'i',\n  'if',\n  'in',\n  'into',\n  'is',\n  'it',\n  'its',\n  'just',\n  'least',\n  'let',\n  'like',\n  'likely',\n  'may',\n  'me',\n  'might',\n  'most',\n  'must',\n  'my',\n  'neither',\n  'no',\n  'nor',\n  'not',\n  'of',\n  'off',\n  'often',\n  'on',\n  'only',\n  'or',\n  'other',\n  'our',\n  'own',\n  'rather',\n  'said',\n  'say',\n  'says',\n  'she',\n  'should',\n  'since',\n  'so',\n  'some',\n  'than',\n  'that',\n  'the',\n  'their',\n  'them',\n  'then',\n  'there',\n  'these',\n  'they',\n  'this',\n  'tis',\n  'to',\n  'too',\n  'twas',\n  'us',\n  'wants',\n  'was',\n  'we',\n  'were',\n  'what',\n  'when',\n  'where',\n  'which',\n  'while',\n  'who',\n  'whom',\n  'why',\n  'will',\n  'with',\n  'would',\n  'yet',\n  'you',\n  'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n  return token.update(function (s) {\n    return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n  })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n  this.final = false\n  this.edges = {}\n  this.id = lunr.TokenSet._nextId\n  lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n  var builder = new lunr.TokenSet.Builder\n\n  for (var i = 0, len = arr.length; i < len; i++) {\n    builder.insert(arr[i])\n  }\n\n  builder.finish()\n  return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n  if ('editDistance' in clause) {\n    return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n  } else {\n    return lunr.TokenSet.fromString(clause.term)\n  }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n  var root = new lunr.TokenSet\n\n  var stack = [{\n    node: root,\n    editsRemaining: editDistance,\n    str: str\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop()\n\n    // no edit\n    if (frame.str.length > 0) {\n      var char = frame.str.charAt(0),\n          noEditNode\n\n      if (char in frame.node.edges) {\n        noEditNode = frame.node.edges[char]\n      } else {\n        noEditNode = new lunr.TokenSet\n        frame.node.edges[char] = noEditNode\n      }\n\n      if (frame.str.length == 1) {\n        noEditNode.final = true\n      }\n\n      stack.push({\n        node: noEditNode,\n        editsRemaining: frame.editsRemaining,\n        str: frame.str.slice(1)\n      })\n    }\n\n    if (frame.editsRemaining == 0) {\n      continue\n    }\n\n    // insertion\n    if (\"*\" in frame.node.edges) {\n      var insertionNode = frame.node.edges[\"*\"]\n    } else {\n      var insertionNode = new lunr.TokenSet\n      frame.node.edges[\"*\"] = insertionNode\n    }\n\n    if (frame.str.length == 0) {\n      insertionNode.final = true\n    }\n\n    stack.push({\n      node: insertionNode,\n      editsRemaining: frame.editsRemaining - 1,\n      str: frame.str\n    })\n\n    // deletion\n    // can only do a deletion if we have enough edits remaining\n    // and if there are characters left to delete in the string\n    if (frame.str.length > 1) {\n      stack.push({\n        node: frame.node,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // deletion\n    // just removing the last character from the str\n    if (frame.str.length == 1) {\n      frame.node.final = true\n    }\n\n    // substitution\n    // can only do a substitution if we have enough edits remaining\n    // and if there are characters left to substitute\n    if (frame.str.length >= 1) {\n      if (\"*\" in frame.node.edges) {\n        var substitutionNode = frame.node.edges[\"*\"]\n      } else {\n        var substitutionNode = new lunr.TokenSet\n        frame.node.edges[\"*\"] = substitutionNode\n      }\n\n      if (frame.str.length == 1) {\n        substitutionNode.final = true\n      }\n\n      stack.push({\n        node: substitutionNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: frame.str.slice(1)\n      })\n    }\n\n    // transposition\n    // can only do a transposition if there are edits remaining\n    // and there are enough characters to transpose\n    if (frame.str.length > 1) {\n      var charA = frame.str.charAt(0),\n          charB = frame.str.charAt(1),\n          transposeNode\n\n      if (charB in frame.node.edges) {\n        transposeNode = frame.node.edges[charB]\n      } else {\n        transposeNode = new lunr.TokenSet\n        frame.node.edges[charB] = transposeNode\n      }\n\n      if (frame.str.length == 1) {\n        transposeNode.final = true\n      }\n\n      stack.push({\n        node: transposeNode,\n        editsRemaining: frame.editsRemaining - 1,\n        str: charA + frame.str.slice(2)\n      })\n    }\n  }\n\n  return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n  var node = new lunr.TokenSet,\n      root = node\n\n  /*\n   * Iterates through all characters within the passed string\n   * appending a node for each character.\n   *\n   * When a wildcard character is found then a self\n   * referencing edge is introduced to continually match\n   * any number of any characters.\n   */\n  for (var i = 0, len = str.length; i < len; i++) {\n    var char = str[i],\n        final = (i == len - 1)\n\n    if (char == \"*\") {\n      node.edges[char] = node\n      node.final = final\n\n    } else {\n      var next = new lunr.TokenSet\n      next.final = final\n\n      node.edges[char] = next\n      node = next\n    }\n  }\n\n  return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n  var words = []\n\n  var stack = [{\n    prefix: \"\",\n    node: this\n  }]\n\n  while (stack.length) {\n    var frame = stack.pop(),\n        edges = Object.keys(frame.node.edges),\n        len = edges.length\n\n    if (frame.node.final) {\n      /* In Safari, at this point the prefix is sometimes corrupted, see:\n       * https://github.com/olivernn/lunr.js/issues/279 Calling any\n       * String.prototype method forces Safari to \"cast\" this string to what\n       * it's supposed to be, fixing the bug. */\n      frame.prefix.charAt(0)\n      words.push(frame.prefix)\n    }\n\n    for (var i = 0; i < len; i++) {\n      var edge = edges[i]\n\n      stack.push({\n        prefix: frame.prefix.concat(edge),\n        node: frame.node.edges[edge]\n      })\n    }\n  }\n\n  return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n  // NOTE: Using Object.keys here as this.edges is very likely\n  // to enter 'hash-mode' with many keys being added\n  //\n  // avoiding a for-in loop here as it leads to the function\n  // being de-optimised (at least in V8). From some simple\n  // benchmarks the performance is comparable, but allowing\n  // V8 to optimize may mean easy performance wins in the future.\n\n  if (this._str) {\n    return this._str\n  }\n\n  var str = this.final ? '1' : '0',\n      labels = Object.keys(this.edges).sort(),\n      len = labels.length\n\n  for (var i = 0; i < len; i++) {\n    var label = labels[i],\n        node = this.edges[label]\n\n    str = str + label + node.id\n  }\n\n  return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n  var output = new lunr.TokenSet,\n      frame = undefined\n\n  var stack = [{\n    qNode: b,\n    output: output,\n    node: this\n  }]\n\n  while (stack.length) {\n    frame = stack.pop()\n\n    // NOTE: As with the #toString method, we are using\n    // Object.keys and a for loop instead of a for-in loop\n    // as both of these objects enter 'hash' mode, causing\n    // the function to be de-optimised in V8\n    var qEdges = Object.keys(frame.qNode.edges),\n        qLen = qEdges.length,\n        nEdges = Object.keys(frame.node.edges),\n        nLen = nEdges.length\n\n    for (var q = 0; q < qLen; q++) {\n      var qEdge = qEdges[q]\n\n      for (var n = 0; n < nLen; n++) {\n        var nEdge = nEdges[n]\n\n        if (nEdge == qEdge || qEdge == '*') {\n          var node = frame.node.edges[nEdge],\n              qNode = frame.qNode.edges[qEdge],\n              final = node.final && qNode.final,\n              next = undefined\n\n          if (nEdge in frame.output.edges) {\n            // an edge already exists for this character\n            // no need to create a new node, just set the finality\n            // bit unless this node is already final\n            next = frame.output.edges[nEdge]\n            next.final = next.final || final\n\n          } else {\n            // no edge exists yet, must create one\n            // set the finality bit and insert it\n            // into the output\n            next = new lunr.TokenSet\n            next.final = final\n            frame.output.edges[nEdge] = next\n          }\n\n          stack.push({\n            qNode: qNode,\n            output: next,\n            node: node\n          })\n        }\n      }\n    }\n  }\n\n  return output\n}\nlunr.TokenSet.Builder = function () {\n  this.previousWord = \"\"\n  this.root = new lunr.TokenSet\n  this.uncheckedNodes = []\n  this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n  var node,\n      commonPrefix = 0\n\n  if (word < this.previousWord) {\n    throw new Error (\"Out of order word insertion\")\n  }\n\n  for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n    if (word[i] != this.previousWord[i]) break\n    commonPrefix++\n  }\n\n  this.minimize(commonPrefix)\n\n  if (this.uncheckedNodes.length == 0) {\n    node = this.root\n  } else {\n    node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n  }\n\n  for (var i = commonPrefix; i < word.length; i++) {\n    var nextNode = new lunr.TokenSet,\n        char = word[i]\n\n    node.edges[char] = nextNode\n\n    this.uncheckedNodes.push({\n      parent: node,\n      char: char,\n      child: nextNode\n    })\n\n    node = nextNode\n  }\n\n  node.final = true\n  this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n  this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n  for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n    var node = this.uncheckedNodes[i],\n        childKey = node.child.toString()\n\n    if (childKey in this.minimizedNodes) {\n      node.parent.edges[node.char] = this.minimizedNodes[childKey]\n    } else {\n      // Cache the key for this node since\n      // we know it can't change anymore\n      node.child._str = childKey\n\n      this.minimizedNodes[childKey] = node.child\n    }\n\n    this.uncheckedNodes.pop()\n  }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n  this.invertedIndex = attrs.invertedIndex\n  this.fieldVectors = attrs.fieldVectors\n  this.tokenSet = attrs.tokenSet\n  this.fields = attrs.fields\n  this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example <caption>Simple single term query</caption>\n * hello\n * @example <caption>Multiple term query</caption>\n * hello world\n * @example <caption>term scoped to a field</caption>\n * title:hello\n * @example <caption>term with a boost of 10</caption>\n * hello^10\n * @example <caption>term with an edit distance of 2</caption>\n * hello~2\n * @example <caption>terms with presence modifiers</caption>\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first.  For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n  return this.query(function (query) {\n    var parser = new lunr.QueryParser(queryString, query)\n    parser.parse()\n  })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n  // for each query clause\n  // * process terms\n  // * expand terms from token set\n  // * find matching documents and metadata\n  // * get document vectors\n  // * score documents\n\n  var query = new lunr.Query(this.fields),\n      matchingFields = Object.create(null),\n      queryVectors = Object.create(null),\n      termFieldCache = Object.create(null),\n      requiredMatches = Object.create(null),\n      prohibitedMatches = Object.create(null)\n\n  /*\n   * To support field level boosts a query vector is created per\n   * field. An empty vector is eagerly created to support negated\n   * queries.\n   */\n  for (var i = 0; i < this.fields.length; i++) {\n    queryVectors[this.fields[i]] = new lunr.Vector\n  }\n\n  fn.call(query, query)\n\n  for (var i = 0; i < query.clauses.length; i++) {\n    /*\n     * Unless the pipeline has been disabled for this term, which is\n     * the case for terms with wildcards, we need to pass the clause\n     * term through the search pipeline. A pipeline returns an array\n     * of processed terms. Pipeline functions may expand the passed\n     * term, which means we may end up performing multiple index lookups\n     * for a single query term.\n     */\n    var clause = query.clauses[i],\n        terms = null,\n        clauseMatches = lunr.Set.empty\n\n    if (clause.usePipeline) {\n      terms = this.pipeline.runString(clause.term, {\n        fields: clause.fields\n      })\n    } else {\n      terms = [clause.term]\n    }\n\n    for (var m = 0; m < terms.length; m++) {\n      var term = terms[m]\n\n      /*\n       * Each term returned from the pipeline needs to use the same query\n       * clause object, e.g. the same boost and or edit distance. The\n       * simplest way to do this is to re-use the clause object but mutate\n       * its term property.\n       */\n      clause.term = term\n\n      /*\n       * From the term in the clause we create a token set which will then\n       * be used to intersect the indexes token set to get a list of terms\n       * to lookup in the inverted index\n       */\n      var termTokenSet = lunr.TokenSet.fromClause(clause),\n          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n      /*\n       * If a term marked as required does not exist in the tokenSet it is\n       * impossible for the search to return any matches. We set all the field\n       * scoped required matches set to empty and stop examining any further\n       * clauses.\n       */\n      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n        for (var k = 0; k < clause.fields.length; k++) {\n          var field = clause.fields[k]\n          requiredMatches[field] = lunr.Set.empty\n        }\n\n        break\n      }\n\n      for (var j = 0; j < expandedTerms.length; j++) {\n        /*\n         * For each term get the posting and termIndex, this is required for\n         * building the query vector.\n         */\n        var expandedTerm = expandedTerms[j],\n            posting = this.invertedIndex[expandedTerm],\n            termIndex = posting._index\n\n        for (var k = 0; k < clause.fields.length; k++) {\n          /*\n           * For each field that this query term is scoped by (by default\n           * all fields are in scope) we need to get all the document refs\n           * that have this term in that field.\n           *\n           * The posting is the entry in the invertedIndex for the matching\n           * term from above.\n           */\n          var field = clause.fields[k],\n              fieldPosting = posting[field],\n              matchingDocumentRefs = Object.keys(fieldPosting),\n              termField = expandedTerm + \"/\" + field,\n              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n          /*\n           * if the presence of this term is required ensure that the matching\n           * documents are added to the set of required matches for this clause.\n           *\n           */\n          if (clause.presence == lunr.Query.presence.REQUIRED) {\n            clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n            if (requiredMatches[field] === undefined) {\n              requiredMatches[field] = lunr.Set.complete\n            }\n          }\n\n          /*\n           * if the presence of this term is prohibited ensure that the matching\n           * documents are added to the set of prohibited matches for this field,\n           * creating that set if it does not yet exist.\n           */\n          if (clause.presence == lunr.Query.presence.PROHIBITED) {\n            if (prohibitedMatches[field] === undefined) {\n              prohibitedMatches[field] = lunr.Set.empty\n            }\n\n            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n            /*\n             * Prohibited matches should not be part of the query vector used for\n             * similarity scoring and no metadata should be extracted so we continue\n             * to the next field\n             */\n            continue\n          }\n\n          /*\n           * The query field vector is populated using the termIndex found for\n           * the term and a unit value with the appropriate boost applied.\n           * Using upsert because there could already be an entry in the vector\n           * for the term we are working with. In that case we just add the scores\n           * together.\n           */\n          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n          /**\n           * If we've already seen this term, field combo then we've already collected\n           * the matching documents and metadata, no need to go through all that again\n           */\n          if (termFieldCache[termField]) {\n            continue\n          }\n\n          for (var l = 0; l < matchingDocumentRefs.length; l++) {\n            /*\n             * All metadata for this term/field/document triple\n             * are then extracted and collected into an instance\n             * of lunr.MatchData ready to be returned in the query\n             * results\n             */\n            var matchingDocumentRef = matchingDocumentRefs[l],\n                matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n                metadata = fieldPosting[matchingDocumentRef],\n                fieldMatch\n\n            if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n              matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n            } else {\n              fieldMatch.add(expandedTerm, field, metadata)\n            }\n\n          }\n\n          termFieldCache[termField] = true\n        }\n      }\n    }\n\n    /**\n     * If the presence was required we need to update the requiredMatches field sets.\n     * We do this after all fields for the term have collected their matches because\n     * the clause terms presence is required in _any_ of the fields not _all_ of the\n     * fields.\n     */\n    if (clause.presence === lunr.Query.presence.REQUIRED) {\n      for (var k = 0; k < clause.fields.length; k++) {\n        var field = clause.fields[k]\n        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n      }\n    }\n  }\n\n  /**\n   * Need to combine the field scoped required and prohibited\n   * matching documents into a global set of required and prohibited\n   * matches\n   */\n  var allRequiredMatches = lunr.Set.complete,\n      allProhibitedMatches = lunr.Set.empty\n\n  for (var i = 0; i < this.fields.length; i++) {\n    var field = this.fields[i]\n\n    if (requiredMatches[field]) {\n      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n    }\n\n    if (prohibitedMatches[field]) {\n      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n    }\n  }\n\n  var matchingFieldRefs = Object.keys(matchingFields),\n      results = [],\n      matches = Object.create(null)\n\n  /*\n   * If the query is negated (contains only prohibited terms)\n   * we need to get _all_ fieldRefs currently existing in the\n   * index. This is only done when we know that the query is\n   * entirely prohibited terms to avoid any cost of getting all\n   * fieldRefs unnecessarily.\n   *\n   * Additionally, blank MatchData must be created to correctly\n   * populate the results.\n   */\n  if (query.isNegated()) {\n    matchingFieldRefs = Object.keys(this.fieldVectors)\n\n    for (var i = 0; i < matchingFieldRefs.length; i++) {\n      var matchingFieldRef = matchingFieldRefs[i]\n      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n      matchingFields[matchingFieldRef] = new lunr.MatchData\n    }\n  }\n\n  for (var i = 0; i < matchingFieldRefs.length; i++) {\n    /*\n     * Currently we have document fields that match the query, but we\n     * need to return documents. The matchData and scores are combined\n     * from multiple fields belonging to the same document.\n     *\n     * Scores are calculated by field, using the query vectors created\n     * above, and combined into a final document score using addition.\n     */\n    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n        docRef = fieldRef.docRef\n\n    if (!allRequiredMatches.contains(docRef)) {\n      continue\n    }\n\n    if (allProhibitedMatches.contains(docRef)) {\n      continue\n    }\n\n    var fieldVector = this.fieldVectors[fieldRef],\n        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n        docMatch\n\n    if ((docMatch = matches[docRef]) !== undefined) {\n      docMatch.score += score\n      docMatch.matchData.combine(matchingFields[fieldRef])\n    } else {\n      var match = {\n        ref: docRef,\n        score: score,\n        matchData: matchingFields[fieldRef]\n      }\n      matches[docRef] = match\n      results.push(match)\n    }\n  }\n\n  /*\n   * Sort the results objects by score, highest first.\n   */\n  return results.sort(function (a, b) {\n    return b.score - a.score\n  })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n  var invertedIndex = Object.keys(this.invertedIndex)\n    .sort()\n    .map(function (term) {\n      return [term, this.invertedIndex[term]]\n    }, this)\n\n  var fieldVectors = Object.keys(this.fieldVectors)\n    .map(function (ref) {\n      return [ref, this.fieldVectors[ref].toJSON()]\n    }, this)\n\n  return {\n    version: lunr.version,\n    fields: this.fields,\n    fieldVectors: fieldVectors,\n    invertedIndex: invertedIndex,\n    pipeline: this.pipeline.toJSON()\n  }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n  var attrs = {},\n      fieldVectors = {},\n      serializedVectors = serializedIndex.fieldVectors,\n      invertedIndex = Object.create(null),\n      serializedInvertedIndex = serializedIndex.invertedIndex,\n      tokenSetBuilder = new lunr.TokenSet.Builder,\n      pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n  if (serializedIndex.version != lunr.version) {\n    lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n  }\n\n  for (var i = 0; i < serializedVectors.length; i++) {\n    var tuple = serializedVectors[i],\n        ref = tuple[0],\n        elements = tuple[1]\n\n    fieldVectors[ref] = new lunr.Vector(elements)\n  }\n\n  for (var i = 0; i < serializedInvertedIndex.length; i++) {\n    var tuple = serializedInvertedIndex[i],\n        term = tuple[0],\n        posting = tuple[1]\n\n    tokenSetBuilder.insert(term)\n    invertedIndex[term] = posting\n  }\n\n  tokenSetBuilder.finish()\n\n  attrs.fields = serializedIndex.fields\n\n  attrs.fieldVectors = fieldVectors\n  attrs.invertedIndex = invertedIndex\n  attrs.tokenSet = tokenSetBuilder.root\n  attrs.pipeline = pipeline\n\n  return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n  this._ref = \"id\"\n  this._fields = Object.create(null)\n  this._documents = Object.create(null)\n  this.invertedIndex = Object.create(null)\n  this.fieldTermFrequencies = {}\n  this.fieldLengths = {}\n  this.tokenizer = lunr.tokenizer\n  this.pipeline = new lunr.Pipeline\n  this.searchPipeline = new lunr.Pipeline\n  this.documentCount = 0\n  this._b = 0.75\n  this._k1 = 1.2\n  this.termIndex = 0\n  this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n  this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example <caption>Extracting a nested field</caption>\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n  if (/\\//.test(fieldName)) {\n    throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n  }\n\n  this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n  if (number < 0) {\n    this._b = 0\n  } else if (number > 1) {\n    this._b = 1\n  } else {\n    this._b = number\n  }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n  this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n  var docRef = doc[this._ref],\n      fields = Object.keys(this._fields)\n\n  this._documents[docRef] = attributes || {}\n  this.documentCount += 1\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i],\n        extractor = this._fields[fieldName].extractor,\n        field = extractor ? extractor(doc) : doc[fieldName],\n        tokens = this.tokenizer(field, {\n          fields: [fieldName]\n        }),\n        terms = this.pipeline.run(tokens),\n        fieldRef = new lunr.FieldRef (docRef, fieldName),\n        fieldTerms = Object.create(null)\n\n    this.fieldTermFrequencies[fieldRef] = fieldTerms\n    this.fieldLengths[fieldRef] = 0\n\n    // store the length of this field for this document\n    this.fieldLengths[fieldRef] += terms.length\n\n    // calculate term frequencies for this field\n    for (var j = 0; j < terms.length; j++) {\n      var term = terms[j]\n\n      if (fieldTerms[term] == undefined) {\n        fieldTerms[term] = 0\n      }\n\n      fieldTerms[term] += 1\n\n      // add to inverted index\n      // create an initial posting if one doesn't exist\n      if (this.invertedIndex[term] == undefined) {\n        var posting = Object.create(null)\n        posting[\"_index\"] = this.termIndex\n        this.termIndex += 1\n\n        for (var k = 0; k < fields.length; k++) {\n          posting[fields[k]] = Object.create(null)\n        }\n\n        this.invertedIndex[term] = posting\n      }\n\n      // add an entry for this term/fieldName/docRef to the invertedIndex\n      if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n        this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n      }\n\n      // store all whitelisted metadata about this token in the\n      // inverted index\n      for (var l = 0; l < this.metadataWhitelist.length; l++) {\n        var metadataKey = this.metadataWhitelist[l],\n            metadata = term.metadata[metadataKey]\n\n        if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n          this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n        }\n\n        this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n      }\n    }\n\n  }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n  var fieldRefs = Object.keys(this.fieldLengths),\n      numberOfFields = fieldRefs.length,\n      accumulator = {},\n      documentsWithField = {}\n\n  for (var i = 0; i < numberOfFields; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        field = fieldRef.fieldName\n\n    documentsWithField[field] || (documentsWithField[field] = 0)\n    documentsWithField[field] += 1\n\n    accumulator[field] || (accumulator[field] = 0)\n    accumulator[field] += this.fieldLengths[fieldRef]\n  }\n\n  var fields = Object.keys(this._fields)\n\n  for (var i = 0; i < fields.length; i++) {\n    var fieldName = fields[i]\n    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n  }\n\n  this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n  var fieldVectors = {},\n      fieldRefs = Object.keys(this.fieldTermFrequencies),\n      fieldRefsLength = fieldRefs.length,\n      termIdfCache = Object.create(null)\n\n  for (var i = 0; i < fieldRefsLength; i++) {\n    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n        fieldName = fieldRef.fieldName,\n        fieldLength = this.fieldLengths[fieldRef],\n        fieldVector = new lunr.Vector,\n        termFrequencies = this.fieldTermFrequencies[fieldRef],\n        terms = Object.keys(termFrequencies),\n        termsLength = terms.length\n\n\n    var fieldBoost = this._fields[fieldName].boost || 1,\n        docBoost = this._documents[fieldRef.docRef].boost || 1\n\n    for (var j = 0; j < termsLength; j++) {\n      var term = terms[j],\n          tf = termFrequencies[term],\n          termIndex = this.invertedIndex[term]._index,\n          idf, score, scoreWithPrecision\n\n      if (termIdfCache[term] === undefined) {\n        idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n        termIdfCache[term] = idf\n      } else {\n        idf = termIdfCache[term]\n      }\n\n      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n      score *= fieldBoost\n      score *= docBoost\n      scoreWithPrecision = Math.round(score * 1000) / 1000\n      // Converts 1.23456789 to 1.234.\n      // Reducing the precision so that the vectors take up less\n      // space when serialised. Doing it now so that they behave\n      // the same before and after serialisation. Also, this is\n      // the fastest approach to reducing a number's precision in\n      // JavaScript.\n\n      fieldVector.insert(termIndex, scoreWithPrecision)\n    }\n\n    fieldVectors[fieldRef] = fieldVector\n  }\n\n  this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n  this.tokenSet = lunr.TokenSet.fromArray(\n    Object.keys(this.invertedIndex).sort()\n  )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n  this.calculateAverageFieldLengths()\n  this.createFieldVectors()\n  this.createTokenSet()\n\n  return new lunr.Index({\n    invertedIndex: this.invertedIndex,\n    fieldVectors: this.fieldVectors,\n    tokenSet: this.tokenSet,\n    fields: Object.keys(this._fields),\n    pipeline: this.searchPipeline\n  })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n  var args = Array.prototype.slice.call(arguments, 1)\n  args.unshift(this)\n  fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n  var clonedMetadata = Object.create(null),\n      metadataKeys = Object.keys(metadata || {})\n\n  // Cloning the metadata to prevent the original\n  // being mutated during match data combination.\n  // Metadata is kept in an array within the inverted\n  // index so cloning the data can be done with\n  // Array#slice\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n    clonedMetadata[key] = metadata[key].slice()\n  }\n\n  this.metadata = Object.create(null)\n\n  if (term !== undefined) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = clonedMetadata\n  }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n  var terms = Object.keys(otherMatchData.metadata)\n\n  for (var i = 0; i < terms.length; i++) {\n    var term = terms[i],\n        fields = Object.keys(otherMatchData.metadata[term])\n\n    if (this.metadata[term] == undefined) {\n      this.metadata[term] = Object.create(null)\n    }\n\n    for (var j = 0; j < fields.length; j++) {\n      var field = fields[j],\n          keys = Object.keys(otherMatchData.metadata[term][field])\n\n      if (this.metadata[term][field] == undefined) {\n        this.metadata[term][field] = Object.create(null)\n      }\n\n      for (var k = 0; k < keys.length; k++) {\n        var key = keys[k]\n\n        if (this.metadata[term][field][key] == undefined) {\n          this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n        } else {\n          this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n        }\n\n      }\n    }\n  }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n  if (!(term in this.metadata)) {\n    this.metadata[term] = Object.create(null)\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  if (!(field in this.metadata[term])) {\n    this.metadata[term][field] = metadata\n    return\n  }\n\n  var metadataKeys = Object.keys(metadata)\n\n  for (var i = 0; i < metadataKeys.length; i++) {\n    var key = metadataKeys[i]\n\n    if (key in this.metadata[term][field]) {\n      this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n    } else {\n      this.metadata[term][field][key] = metadata[key]\n    }\n  }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n  this.clauses = []\n  this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with trailing wildcard</caption>\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example <caption>query term with leading and trailing wildcard</caption>\n * query.term('foo', {\n *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example <caption>query term with required presence</caption>\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n  /**\n   * Term's presence in a document is optional, this is the default value.\n   */\n  OPTIONAL: 1,\n\n  /**\n   * Term's presence in a document is required, documents that do not contain\n   * this term will not be returned.\n   */\n  REQUIRED: 2,\n\n  /**\n   * Term's presence in a document is prohibited, documents that do contain\n   * this term will not be returned.\n   */\n  PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n  if (!('fields' in clause)) {\n    clause.fields = this.allFields\n  }\n\n  if (!('boost' in clause)) {\n    clause.boost = 1\n  }\n\n  if (!('usePipeline' in clause)) {\n    clause.usePipeline = true\n  }\n\n  if (!('wildcard' in clause)) {\n    clause.wildcard = lunr.Query.wildcard.NONE\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n    clause.term = \"*\" + clause.term\n  }\n\n  if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n    clause.term = \"\" + clause.term + \"*\"\n  }\n\n  if (!('presence' in clause)) {\n    clause.presence = lunr.Query.presence.OPTIONAL\n  }\n\n  this.clauses.push(clause)\n\n  return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n  for (var i = 0; i < this.clauses.length; i++) {\n    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n      return false\n    }\n  }\n\n  return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example <caption>adding a single term to a query</caption>\n * query.term(\"foo\")\n * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>\n * query.term(\"foo\", {\n *   fields: [\"title\"],\n *   boost: 10,\n *   wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n  if (Array.isArray(term)) {\n    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n    return this\n  }\n\n  var clause = options || {}\n  clause.term = term.toString()\n\n  this.clause(clause)\n\n  return this\n}\nlunr.QueryParseError = function (message, start, end) {\n  this.name = \"QueryParseError\"\n  this.message = message\n  this.start = start\n  this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n  this.lexemes = []\n  this.str = str\n  this.length = str.length\n  this.pos = 0\n  this.start = 0\n  this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n  var state = lunr.QueryLexer.lexText\n\n  while (state) {\n    state = state(this)\n  }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n  var subSlices = [],\n      sliceStart = this.start,\n      sliceEnd = this.pos\n\n  for (var i = 0; i < this.escapeCharPositions.length; i++) {\n    sliceEnd = this.escapeCharPositions[i]\n    subSlices.push(this.str.slice(sliceStart, sliceEnd))\n    sliceStart = sliceEnd + 1\n  }\n\n  subSlices.push(this.str.slice(sliceStart, this.pos))\n  this.escapeCharPositions.length = 0\n\n  return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n  this.lexemes.push({\n    type: type,\n    str: this.sliceString(),\n    start: this.start,\n    end: this.pos\n  })\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n  this.escapeCharPositions.push(this.pos - 1)\n  this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n  if (this.pos >= this.length) {\n    return lunr.QueryLexer.EOS\n  }\n\n  var char = this.str.charAt(this.pos)\n  this.pos += 1\n  return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n  return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n  if (this.start == this.pos) {\n    this.pos += 1\n  }\n\n  this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n  this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n  var char, charCode\n\n  do {\n    char = this.next()\n    charCode = char.charCodeAt(0)\n  } while (charCode > 47 && charCode < 58)\n\n  if (char != lunr.QueryLexer.EOS) {\n    this.backup()\n  }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n  return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n  lexer.backup()\n  lexer.emit(lunr.QueryLexer.FIELD)\n  lexer.ignore()\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n  if (lexer.width() > 1) {\n    lexer.backup()\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n\n  lexer.ignore()\n\n  if (lexer.more()) {\n    return lunr.QueryLexer.lexText\n  }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n  lexer.ignore()\n  lexer.acceptDigitRun()\n  lexer.emit(lunr.QueryLexer.BOOST)\n  return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n  if (lexer.width() > 0) {\n    lexer.emit(lunr.QueryLexer.TERM)\n  }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n  while (true) {\n    var char = lexer.next()\n\n    if (char == lunr.QueryLexer.EOS) {\n      return lunr.QueryLexer.lexEOS\n    }\n\n    // Escape character is '\\'\n    if (char.charCodeAt(0) == 92) {\n      lexer.escapeCharacter()\n      continue\n    }\n\n    if (char == \":\") {\n      return lunr.QueryLexer.lexField\n    }\n\n    if (char == \"~\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexEditDistance\n    }\n\n    if (char == \"^\") {\n      lexer.backup()\n      if (lexer.width() > 0) {\n        lexer.emit(lunr.QueryLexer.TERM)\n      }\n      return lunr.QueryLexer.lexBoost\n    }\n\n    // \"+\" indicates term presence is required\n    // checking for length to ensure that only\n    // leading \"+\" are considered\n    if (char == \"+\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    // \"-\" indicates term presence is prohibited\n    // checking for length to ensure that only\n    // leading \"-\" are considered\n    if (char == \"-\" && lexer.width() === 1) {\n      lexer.emit(lunr.QueryLexer.PRESENCE)\n      return lunr.QueryLexer.lexText\n    }\n\n    if (char.match(lunr.QueryLexer.termSeparator)) {\n      return lunr.QueryLexer.lexTerm\n    }\n  }\n}\n\nlunr.QueryParser = function (str, query) {\n  this.lexer = new lunr.QueryLexer (str)\n  this.query = query\n  this.currentClause = {}\n  this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n  this.lexer.run()\n  this.lexemes = this.lexer.lexemes\n\n  var state = lunr.QueryParser.parseClause\n\n  while (state) {\n    state = state(this)\n  }\n\n  return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n  return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n  var lexeme = this.peekLexeme()\n  this.lexemeIdx += 1\n  return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n  var completedClause = this.currentClause\n  this.query.clause(completedClause)\n  this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n  var lexeme = parser.peekLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.type) {\n    case lunr.QueryLexer.PRESENCE:\n      return lunr.QueryParser.parsePresence\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n      if (lexeme.str.length >= 1) {\n        errorMessage += \" with value '\" + lexeme.str + \"'\"\n      }\n\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  switch (lexeme.str) {\n    case \"-\":\n      parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n      break\n    case \"+\":\n      parser.currentClause.presence = lunr.Query.presence.REQUIRED\n      break\n    default:\n      var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term or field, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.FIELD:\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n    var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n        errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.fields = [lexeme.str]\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    var errorMessage = \"expecting term, found nothing\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      return lunr.QueryParser.parseTerm\n    default:\n      var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  parser.currentClause.term = lexeme.str.toLowerCase()\n\n  if (lexeme.str.indexOf(\"*\") != -1) {\n    parser.currentClause.usePipeline = false\n  }\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var editDistance = parseInt(lexeme.str, 10)\n\n  if (isNaN(editDistance)) {\n    var errorMessage = \"edit distance must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.editDistance = editDistance\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n  var lexeme = parser.consumeLexeme()\n\n  if (lexeme == undefined) {\n    return\n  }\n\n  var boost = parseInt(lexeme.str, 10)\n\n  if (isNaN(boost)) {\n    var errorMessage = \"boost must be numeric\"\n    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n  }\n\n  parser.currentClause.boost = boost\n\n  var nextLexeme = parser.peekLexeme()\n\n  if (nextLexeme == undefined) {\n    parser.nextClause()\n    return\n  }\n\n  switch (nextLexeme.type) {\n    case lunr.QueryLexer.TERM:\n      parser.nextClause()\n      return lunr.QueryParser.parseTerm\n    case lunr.QueryLexer.FIELD:\n      parser.nextClause()\n      return lunr.QueryParser.parseField\n    case lunr.QueryLexer.EDIT_DISTANCE:\n      return lunr.QueryParser.parseEditDistance\n    case lunr.QueryLexer.BOOST:\n      return lunr.QueryParser.parseBoost\n    case lunr.QueryLexer.PRESENCE:\n      parser.nextClause()\n      return lunr.QueryParser.parsePresence\n    default:\n      var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n  }\n}\n\n  /**\n   * export the module via AMD, CommonJS or as a browser global\n   * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n   */\n  ;(function (root, factory) {\n    if (typeof define === 'function' && define.amd) {\n      // AMD. Register as an anonymous module.\n      define(factory)\n    } else if (typeof exports === 'object') {\n      /**\n       * Node. Does not work with strict CommonJS, but\n       * only CommonJS-like enviroments that support module.exports,\n       * like Node.\n       */\n      module.exports = factory()\n    } else {\n      // Browser globals (root is window)\n      root.lunr = factory()\n    }\n  }(this, function () {\n    /**\n     * Just return a value to define the module export.\n     * This example returns an object, but the module\n     * can return a function as the exported value.\n     */\n    return lunr\n  }))\n})();\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A RTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport lunr from \"lunr\"\n\nimport { getElement } from \"~/browser/element/_\"\nimport \"~/polyfills\"\n\nimport { Search } from \"../../_\"\nimport { SearchConfig } from \"../../config\"\nimport {\n  SearchMessage,\n  SearchMessageType\n} from \"../message\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Add support for `iframe-worker` shim\n *\n * While `importScripts` is synchronous when executed inside of a web worker,\n * it's not possible to provide a synchronous shim implementation. The cool\n * thing is that awaiting a non-Promise will convert it into a Promise, so\n * extending the type definition to return a `Promise` shouldn't break anything.\n *\n * @see https://bit.ly/2PjDnXi - GitHub comment\n *\n * @param urls - Scripts to load\n *\n * @returns Promise resolving with no result\n */\ndeclare global {\n  function importScripts(...urls: string[]): Promise<void> | void\n}\n\n/* ----------------------------------------------------------------------------\n * Data\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nlet index: Search\n\n/* ----------------------------------------------------------------------------\n * Helper functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Fetch (= import) multi-language support through `lunr-languages`\n *\n * This function automatically imports the stemmers necessary to process the\n * languages which are defined as part of the search configuration.\n *\n * If the worker runs inside of an `iframe` (when using `iframe-worker` as\n * a shim), the base URL for the stemmers to be loaded must be determined by\n * searching for the first `script` element with a `src` attribute, which will\n * contain the contents of this script.\n *\n * @param config - Search configuration\n *\n * @returns Promise resolving with no result\n */\nasync function setupSearchLanguages(\n  config: SearchConfig\n): Promise<void> {\n  let base = \"../lunr\"\n\n  /* Detect `iframe-worker` and fix base URL */\n  if (typeof parent !== \"undefined\" && \"IFrameWorker\" in parent) {\n    const worker = getElement<HTMLScriptElement>(\"script[src]\")\n    const [path] = worker.src.split(\"/worker\")\n\n    /* Prefix base with path */\n    base = base.replace(\"..\", path)\n  }\n\n  /* Add scripts for languages */\n  const scripts = []\n  for (const lang of config.lang) {\n    switch (lang) {\n\n      /* Add segmenter for Japanese */\n      case \"ja\":\n        scripts.push(`${base}/tinyseg.js`)\n        break\n\n      /* Add segmenter for Hindi and Thai */\n      case \"hi\":\n      case \"th\":\n        scripts.push(`${base}/wordcut.js`)\n        break\n    }\n\n    /* Add language support */\n    if (lang !== \"en\")\n      scripts.push(`${base}/min/lunr.${lang}.min.js`)\n  }\n\n  /* Add multi-language support */\n  if (config.lang.length > 1)\n    scripts.push(`${base}/min/lunr.multi.min.js`)\n\n  /* Load scripts synchronously */\n  if (scripts.length)\n    await importScripts(\n      `${base}/min/lunr.stemmer.support.min.js`,\n      ...scripts\n    )\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Message handler\n *\n * @param message - Source message\n *\n * @returns Target message\n */\nexport async function handler(\n  message: SearchMessage\n): Promise<SearchMessage> {\n  switch (message.type) {\n\n    /* Search setup message */\n    case SearchMessageType.SETUP:\n      await setupSearchLanguages(message.data.config)\n      index = new Search(message.data)\n      return {\n        type: SearchMessageType.READY\n      }\n\n    /* Search query message */\n    case SearchMessageType.QUERY:\n      const query = message.data\n      try {\n        return {\n          type: SearchMessageType.RESULT,\n          data: index.search(query)\n        }\n\n      /* Return empty result in case of error */\n      } catch (err) {\n        console.warn(`Invalid query: ${query} \u2013 see https://bit.ly/2s3ChXG`)\n        console.warn(err)\n        return {\n          type: SearchMessageType.RESULT,\n          data: { items: [] }\n        }\n      }\n\n    /* All other messages */\n    default:\n      throw new TypeError(\"Invalid message type\")\n  }\n}\n\n/* ----------------------------------------------------------------------------\n * Worker\n * ------------------------------------------------------------------------- */\n\n/* Expose Lunr.js in global scope, or stemmers won't work */\nself.lunr = lunr\n\n/* Monkey-patch Lunr.js to mitigate https://t.ly/68TLq */\nlunr.utils.warn = console.warn\n\n/* Handle messages */\naddEventListener(\"message\", async ev => {\n  postMessage(await handler(ev.data))\n})\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Retrieve all elements matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Elements\n */\nexport function getElements<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T][]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T[]\n\nexport function getElements<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T[] {\n  return Array.from(node.querySelectorAll<T>(selector))\n}\n\n/**\n * Retrieve an element matching a query selector or throw a reference error\n *\n * Note that this function assumes that the element is present. If unsure if an\n * element is existent, use the `getOptionalElement` function instead.\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element\n */\nexport function getElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T]\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T\n\nexport function getElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T {\n  const el = getOptionalElement<T>(selector, node)\n  if (typeof el === \"undefined\")\n    throw new ReferenceError(\n      `Missing element: expected \"${selector}\" to be present`\n    )\n\n  /* Return element */\n  return el\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Retrieve an optional element matching the query selector\n *\n * @template T - Element type\n *\n * @param selector - Query selector\n * @param node - Node of reference\n *\n * @returns Element or nothing\n */\nexport function getOptionalElement<T extends keyof HTMLElementTagNameMap>(\n  selector: T, node?: ParentNode\n): HTMLElementTagNameMap[T] | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node?: ParentNode\n): T | undefined\n\nexport function getOptionalElement<T extends HTMLElement>(\n  selector: string, node: ParentNode = document\n): T | undefined {\n  return node.querySelector<T>(selector) || undefined\n}\n\n/**\n * Retrieve the currently active element\n *\n * @returns Element or nothing\n */\nexport function getActiveElement(): HTMLElement | undefined {\n  return (\n    document.activeElement?.shadowRoot?.activeElement as HTMLElement ??\n    document.activeElement as HTMLElement ??\n    undefined\n  )\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Polyfills\n * ------------------------------------------------------------------------- */\n\n/* Polyfill `Object.entries` */\nif (!Object.entries)\n  Object.entries = function (obj: object) {\n    const data: [string, string][] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push([key, obj[key]])\n\n    /* Return entries */\n    return data\n  }\n\n/* Polyfill `Object.values` */\nif (!Object.values)\n  Object.values = function (obj: object) {\n    const data: string[] = []\n    for (const key of Object.keys(obj))\n      // @ts-expect-error - ignore property access warning\n      data.push(obj[key])\n\n    /* Return values */\n    return data\n  }\n\n/* ------------------------------------------------------------------------- */\n\n/* Polyfills for `Element` */\nif (typeof Element !== \"undefined\") {\n\n  /* Polyfill `Element.scrollTo` */\n  if (!Element.prototype.scrollTo)\n    Element.prototype.scrollTo = function (\n      x?: ScrollToOptions | number, y?: number\n    ): void {\n      if (typeof x === \"object\") {\n        this.scrollLeft = x.left!\n        this.scrollTop = x.top!\n      } else {\n        this.scrollLeft = x!\n        this.scrollTop = y!\n      }\n    }\n\n  /* Polyfill `Element.replaceWith` */\n  if (!Element.prototype.replaceWith)\n    Element.prototype.replaceWith = function (\n      ...nodes: Array<string | Node>\n    ): void {\n      const parent = this.parentNode\n      if (parent) {\n        if (nodes.length === 0)\n          parent.removeChild(this)\n\n        /* Replace children and create text nodes */\n        for (let i = nodes.length - 1; i >= 0; i--) {\n          let node = nodes[i]\n          if (typeof node === \"string\")\n            node = document.createTextNode(node)\n          else if (node.parentNode)\n            node.parentNode.removeChild(node)\n\n          /* Replace child or insert before previous sibling */\n          if (!i)\n            parent.replaceChild(node, this)\n          else\n            parent.insertBefore(this.previousSibling!, node)\n        }\n      }\n    }\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search configuration\n */\nexport interface SearchConfig {\n  lang: string[]                       /* Search languages */\n  separator: string                    /* Search separator */\n  pipeline: SearchPipelineFn[]         /* Search pipeline */\n}\n\n/**\n * Search document\n */\nexport interface SearchDocument {\n  location: string                     /* Document location */\n  title: string                        /* Document title */\n  text: string                         /* Document text */\n  tags?: string[]                      /* Document tags */\n  boost?: number                       /* Document boost */\n  parent?: SearchDocument              /* Document parent */\n}\n\n/**\n * Search options\n */\nexport interface SearchOptions {\n  suggest: boolean                     /* Search suggestions */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport interface SearchIndex {\n  config: SearchConfig                 /* Search configuration */\n  docs: SearchDocument[]               /* Search documents */\n  options: SearchOptions               /* Search options */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search pipeline function\n */\ntype SearchPipelineFn =\n  | \"trimmer\"                          /* Trimmer */\n  | \"stopWordFilter\"                   /* Stop word filter */\n  | \"stemmer\"                          /* Stemmer */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create a search document map\n *\n * This function creates a mapping of URLs (including anchors) to the actual\n * articles and sections. It relies on the invariant that the search index is\n * ordered with the main article appearing before all sections with anchors.\n * If this is not the case, the logic music be changed.\n *\n * @param docs - Search documents\n *\n * @returns Search document map\n */\nexport function setupSearchDocumentMap(\n  docs: SearchDocument[]\n): Map<string, SearchDocument> {\n  const map = new Map<string, SearchDocument>()\n  for (const doc of docs) {\n    const [path] = doc.location.split(\"#\")\n\n    /* Add document article */\n    const article = map.get(path)\n    if (typeof article === \"undefined\") {\n      map.set(path, doc)\n\n      /* Add document section */\n    } else {\n      map.set(doc.location, doc)\n      doc.parent = article\n    }\n  }\n\n  /* Return search document map */\n  return map\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string using the given separator\n *\n * @param input - Input value\n * @param separator - Separator\n * @param fn - Visitor function\n */\nexport function split(\n  input: string, separator: RegExp, fn: VisitorFn\n): void {\n  separator = new RegExp(separator, \"g\")\n\n  /* Split string using separator */\n  let match: RegExpExecArray | null\n  let index = 0\n  do {\n    match = separator.exec(input)\n\n    /* Emit non-empty range */\n    const until = match?.index ?? input.length\n    if (index < until)\n      fn(index, until)\n\n    /* Update last index */\n    if (match) {\n      const [term] = match\n      index = match.index + term.length\n\n      /* Support zero-length lookaheads */\n      if (term.length === 0)\n        separator.lastIndex = match.index + 1\n    }\n  } while (match)\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Extraction type\n *\n * This type defines the possible values that are encoded into the first two\n * bits of a section that is part of the blocks of a tokenization table. There\n * are three types of interest: HTML opening and closing tags, as well as the\n * actual text content we need to extract for indexing.\n */\nexport const enum Extract {\n  TAG_OPEN  = 0,                       /* HTML opening tag */\n  TEXT      = 1,                       /* Text content */\n  TAG_CLOSE = 2                        /* HTML closing tag */\n}\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param block - Block index\n * @param type - Extraction type\n * @param start - Start offset\n * @param end - End offset\n */\ntype VisitorFn = (\n  block: number, type: Extract, start: number, end: number\n) => void\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string into markup and text sections\n *\n * This function scans a string and divides it up into sections of markup and\n * text. For each section, it invokes the given visitor function with the block\n * index, extraction type, as well as start and end offsets. Using a visitor\n * function (= streaming data) is ideal for minimizing pressure on the GC.\n *\n * @param input - Input value\n * @param fn - Visitor function\n */\nexport function extract(\n  input: string, fn: VisitorFn\n): void {\n\n  let block = 0                        /* Current block */\n  let start = 0                        /* Current start offset */\n  let end = 0                          /* Current end offset */\n\n  /* Split string into sections */\n  for (let stack = 0; end < input.length; end++) {\n\n    /* Opening tag after non-empty section */\n    if (input.charAt(end) === \"<\" && end > start) {\n      fn(block, Extract.TEXT, start, start = end)\n\n    /* Closing tag */\n    } else if (input.charAt(end) === \">\") {\n      if (input.charAt(start + 1) === \"/\") {\n        if (--stack === 0)\n          fn(block++, Extract.TAG_CLOSE, start, end + 1)\n\n      /* Tag is not self-closing */\n      } else if (input.charAt(end - 1) !== \"/\") {\n        if (stack++ === 0)\n          fn(block, Extract.TAG_OPEN, start, end + 1)\n      }\n\n      /* New section */\n      start = end + 1\n    }\n  }\n\n  /* Add trailing section */\n  if (end > start)\n    fn(block, Extract.TEXT, start, end)\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Position table\n */\nexport type PositionTable = number[][]\n\n/**\n * Position\n */\nexport type Position = number\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Highlight all occurrences in a string\n *\n * This function receives a field's value (e.g. like `title` or `text`), it's\n * position table that was generated during indexing, and the positions found\n * when executing the query. It then highlights all occurrences, and returns\n * their concatenation. In case of multiple blocks, two are returned.\n *\n * @param input - Input value\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string value\n */\nexport function highlight(\n  input: string, table: PositionTable, positions: Position[], full = false\n): string {\n  return highlightAll([input], table, positions, full).pop()!\n}\n\n/**\n * Highlight all occurrences in a set of strings\n *\n * @param inputs - Input values\n * @param table - Table for indexing\n * @param positions - Occurrences\n * @param full - Full results\n *\n * @returns Highlighted string values\n */\nexport function highlightAll(\n  inputs: string[], table: PositionTable, positions: Position[], full = false\n): string[] {\n\n  /* Map blocks to input values */\n  const mapping = [0]\n  for (let t = 1; t < table.length; t++) {\n    const prev = table[t - 1]\n    const next = table[t]\n\n    /* Check if table points to new block */\n    const p = prev[prev.length - 1] >>> 2 & 0x3FF\n    const q = next[0]               >>> 12\n\n    /* Add block to mapping */\n    mapping.push(+(p > q) + mapping[mapping.length - 1])\n  }\n\n  /* Highlight strings one after another */\n  return inputs.map((input, i) => {\n    let cursor = 0\n\n    /* Map occurrences to blocks */\n    const blocks = new Map<number, number[]>()\n    for (const p of positions.sort((a, b) => a - b)) {\n      const index = p & 0xFFFFF\n      const block = p >>> 20\n      if (mapping[block] !== i)\n        continue\n\n      /* Ensure presence of block group */\n      let group = blocks.get(block)\n      if (typeof group === \"undefined\")\n        blocks.set(block, group = [])\n\n      /* Add index to group */\n      group.push(index)\n    }\n\n    /* Just return string, if no occurrences */\n    if (blocks.size === 0)\n      return input\n\n    /* Compute slices */\n    const slices: string[] = []\n    for (const [block, indexes] of blocks) {\n      const t = table[block]\n\n      /* Extract positions and length */\n      const start  = t[0]            >>> 12\n      const end    = t[t.length - 1] >>> 12\n      const length = t[t.length - 1] >>> 2 & 0x3FF\n\n      /* Add prefix, if full results are desired */\n      if (full && start > cursor)\n        slices.push(input.slice(cursor, start))\n\n      /* Extract and highlight slice */\n      let slice = input.slice(start, end + length)\n      for (const j of indexes.sort((a, b) => b - a)) {\n\n        /* Retrieve offset and length of match */\n        const p = (t[j] >>> 12) - start\n        const q = (t[j] >>> 2 & 0x3FF) + p\n\n        /* Wrap occurrence */\n        slice = [\n          slice.slice(0, p),\n          \"<mark>\",\n          slice.slice(p, q),\n          \"</mark>\",\n          slice.slice(q)\n        ].join(\"\")\n      }\n\n      /* Update cursor */\n      cursor = end + length\n\n      /* Append slice and abort if we have two */\n      if (slices.push(slice) === 2)\n        break\n    }\n\n    /* Add suffix, if full results are desired */\n    if (full && cursor < input.length)\n      slices.push(input.slice(cursor))\n\n    /* Return highlighted slices */\n    return slices.join(\"\")\n  })\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../_\"\nimport {\n  Extract,\n  extract\n} from \"../extract\"\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Split a string or set of strings into tokens\n *\n * This tokenizer supersedes the default tokenizer that is provided by Lunr.js,\n * as it is aware of HTML tags and allows for multi-character splitting.\n *\n * It takes the given inputs, splits each of them into markup and text sections,\n * tokenizes and segments (if necessary) each of them, and then indexes them in\n * a table by using a compact bit representation. Bitwise techniques are used\n * to write and read from the table during indexing and querying.\n *\n * @see https://bit.ly/3W3Xw4J - Search: better, faster, smaller\n *\n * @param input - Input value(s)\n *\n * @returns Tokens\n */\nexport function tokenize(\n  input?: string | string[]\n): lunr.Token[] {\n  const tokens: lunr.Token[] = []\n  if (typeof input === \"undefined\")\n    return tokens\n\n  /* Tokenize strings one after another */\n  const inputs = Array.isArray(input) ? input : [input]\n  for (let i = 0; i < inputs.length; i++) {\n    const table = lunr.tokenizer.table\n    const total = table.length\n\n    /* Split string into sections and tokenize content blocks */\n    extract(inputs[i], (block, type, start, end) => {\n      table[block += total] ||= []\n      switch (type) {\n\n        /* Handle markup */\n        case Extract.TAG_OPEN:\n        case Extract.TAG_CLOSE:\n          table[block].push(\n            start       << 12 |\n            end - start <<  2 |\n            type\n          )\n          break\n\n        /* Handle text content */\n        case Extract.TEXT:\n          const section = inputs[i].slice(start, end)\n          split(section, lunr.tokenizer.separator, (index, until) => {\n\n            /**\n             * Apply segmenter after tokenization. Note that the segmenter will\n             * also split words at word boundaries, which is not what we want,\n             * so we need to check if we can somehow mitigate this behavior.\n             */\n            if (typeof lunr.segmenter !== \"undefined\") {\n              const subsection = section.slice(index, until)\n              if (/^[MHIK]$/.test(lunr.segmenter.ctype_(subsection))) {\n                const segments = lunr.segmenter.segment(subsection)\n                for (let s = 0, l = 0; s < segments.length; s++) {\n\n                  /* Add block to section */\n                  table[block] ||= []\n                  table[block].push(\n                    start + index + l  << 12 |\n                    segments[s].length <<  2 |\n                    type\n                  )\n\n                  /* Add token with position */\n                  tokens.push(new lunr.Token(\n                    segments[s].toLowerCase(), {\n                      position: block << 20 | table[block].length - 1\n                    }\n                  ))\n\n                  /* Keep track of length */\n                  l += segments[s].length\n                }\n                return\n              }\n            }\n\n            /* Add block to section */\n            table[block].push(\n              start + index << 12 |\n              until - index <<  2 |\n              type\n            )\n\n            /* Add token with position */\n            tokens.push(new lunr.Token(\n              section.slice(index, until).toLowerCase(), {\n                position: block << 20 | table[block].length - 1\n              }\n            ))\n          })\n      }\n    })\n  }\n\n  /* Return tokens */\n  return tokens\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Helper types\n * ------------------------------------------------------------------------- */\n\n/**\n * Visitor function\n *\n * @param value - String value\n *\n * @returns String term(s)\n */\ntype VisitorFn = (\n  value: string\n) => string | string[]\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Default transformation function\n *\n * 1. Trim excess whitespace from left and right.\n *\n * 2. Search for parts in quotation marks and prepend a `+` modifier to denote\n *    that the resulting document must contain all parts, converting the query\n *    to an `AND` query (as opposed to the default `OR` behavior). While users\n *    may expect parts enclosed in quotation marks to map to span queries, i.e.\n *    for which order is important, Lunr.js doesn't support them, so the best\n *    we can do is to convert the parts to an `AND` query.\n *\n * 3. Replace control characters which are not located at the beginning of the\n *    query or preceded by white space, or are not followed by a non-whitespace\n *    character or are at the end of the query string. Furthermore, filter\n *    unmatched quotation marks.\n *\n * 4. Split the query string at whitespace, then pass each part to the visitor\n *    function for tokenization, and append a wildcard to every resulting term\n *    that is not explicitly marked with a `+`, `-`, `~` or `^` modifier, since\n *    it ensures consistent and stable ranking when multiple terms are entered.\n *    Also, if a fuzzy or boost modifier are given, but no numeric value has\n *    been entered, default to 1 to not induce a query error.\n *\n * @param query - Query value\n * @param fn - Visitor function\n *\n * @returns Transformed query value\n */\nexport function transform(\n  query: string, fn: VisitorFn = term => term\n): string {\n  return query\n\n    /* => 1 */\n    .trim()\n\n    /* => 2 */\n    .split(/\"([^\"]+)\"/g)\n      .map((parts, index) => index & 1\n        ? parts.replace(/^\\b|^(?![^\\x00-\\x7F]|$)|\\s+/g, \" +\")\n        : parts\n      )\n      .join(\"\")\n\n    /* => 3 */\n    .replace(/\"|(?:^|\\s+)[*+\\-:^~]+(?=\\s+|$)/g, \"\")\n\n    /* => 4 */\n    .split(/\\s+/g)\n      .reduce((prev, term) => {\n        const next = fn(term)\n        return [...prev, ...Array.isArray(next) ? next : [next]]\n      }, [] as string[])\n      .map(term => /([~^]$)/.test(term) ? `${term}1` : term)\n      .map(term => /(^[+-]|[~^]\\d+$)/.test(term) ? term : `${term}*`)\n      .join(\" \")\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport { split } from \"../../internal\"\nimport { transform } from \"../transform\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search query clause\n */\nexport interface SearchQueryClause {\n  presence: lunr.Query.presence        /* Clause presence */\n  term: string                         /* Clause term */\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Search query terms\n */\nexport type SearchQueryTerms = Record<string, boolean>\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Transform search query\n *\n * This function lexes the given search query and applies the transformation\n * function to each term, preserving markup like `+` and `-` modifiers.\n *\n * @param query - Search query\n *\n * @returns Search query\n */\nexport function transformSearchQuery(\n  query: string\n): string {\n\n  /* Split query terms with tokenizer */\n  return transform(query, part => {\n    const terms: string[] = []\n\n    /* Initialize lexer and analyze part */\n    const lexer = new lunr.QueryLexer(part)\n    lexer.run()\n\n    /* Extract and tokenize term from lexeme */\n    for (const { type, str: term, start, end } of lexer.lexemes)\n      switch (type) {\n\n        /* Hack: remove colon - see https://bit.ly/3wD3T3I */\n        case \"FIELD\":\n          if (![\"title\", \"text\", \"tags\"].includes(term))\n            part = [\n              part.slice(0, end),\n              \" \",\n              part.slice(end + 1)\n            ].join(\"\")\n          break\n\n        /* Tokenize term */\n        case \"TERM\":\n          split(term, lunr.tokenizer.separator, (...range) => {\n            terms.push([\n              part.slice(0, start),\n              term.slice(...range),\n              part.slice(end)\n            ].join(\"\"))\n          })\n      }\n\n    /* Return terms */\n    return terms\n  })\n}\n\n/* ------------------------------------------------------------------------- */\n\n/**\n * Parse a search query for analysis\n *\n * Lunr.js itself has a bug where it doesn't detect or remove wildcards for\n * query clauses, so we must do this here.\n *\n * @see https://bit.ly/3DpTGtz - GitHub issue\n *\n * @param value - Query value\n *\n * @returns Search query clauses\n */\nexport function parseSearchQuery(\n  value: string\n): SearchQueryClause[] {\n  const query  = new lunr.Query([\"title\", \"text\", \"tags\"])\n  const parser = new lunr.QueryParser(value, query)\n\n  /* Parse Search query */\n  parser.parse()\n  for (const clause of query.clauses) {\n    clause.usePipeline = true\n\n    /* Handle leading wildcard */\n    if (clause.term.startsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.LEADING\n      clause.term = clause.term.slice(1)\n    }\n\n    /* Handle trailing wildcard */\n    if (clause.term.endsWith(\"*\")) {\n      clause.wildcard = lunr.Query.wildcard.TRAILING\n      clause.term = clause.term.slice(0, -1)\n    }\n  }\n\n  /* Return query clauses */\n  return query.clauses\n}\n\n/**\n * Analyze the search query clauses in regard to the search terms found\n *\n * @param query - Search query clauses\n * @param terms - Search terms\n *\n * @returns Search query terms\n */\nexport function getSearchQueryTerms(\n  query: SearchQueryClause[], terms: string[]\n): SearchQueryTerms {\n  const clauses = new Set<SearchQueryClause>(query)\n\n  /* Match query clauses against terms */\n  const result: SearchQueryTerms = {}\n  for (let t = 0; t < terms.length; t++)\n    for (const clause of clauses)\n      if (terms[t].startsWith(clause.term)) {\n        result[clause.term] = true\n        clauses.delete(clause)\n      }\n\n  /* Annotate unmatched non-stopword query clauses */\n  for (const clause of clauses)\n    if (lunr.stopWordFilter?.(clause.term))\n      result[clause.term] = false\n\n  /* Return query terms */\n  return result\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Segment a search query using the inverted index\n *\n * This function implements a clever approach to text segmentation for Asian\n * languages, as it used the information already available in the search index.\n * The idea is to greedily segment the search query based on the tokens that are\n * already part of the index, as described in the linked issue.\n *\n * @see https://bit.ly/3lwjrk7 - GitHub issue\n *\n * @param query - Query value\n * @param index - Inverted index\n *\n * @returns Segmented query value\n */\nexport function segment(\n  query: string, index: object\n): Iterable<string> {\n  const segments = new Set<string>()\n\n  /* Segment search query */\n  const wordcuts = new Uint16Array(query.length)\n  for (let i = 0; i < query.length; i++)\n    for (let j = i + 1; j < query.length; j++) {\n      const value = query.slice(i, j)\n      if (value in index)\n        wordcuts[i] = j - i\n    }\n\n  /* Compute longest matches with minimum overlap */\n  const stack = [0]\n  for (let s = stack.length; s > 0;) {\n    const p = stack[--s]\n    for (let q = 1; q < wordcuts[p]; q++)\n      if (wordcuts[p + q] > wordcuts[p] - q) {\n        segments.add(query.slice(p, p + q))\n        stack[s++] = p + q\n      }\n\n    /* Continue at end of query string */\n    const q = p + wordcuts[p]\n    if (wordcuts[q] && q < query.length - 1)\n      stack[s++] = q\n\n    /* Add current segment */\n    segments.add(query.slice(p, q))\n  }\n\n  // @todo fix this case in the code block above, this is a hotfix\n  if (segments.has(\"\"))\n    return new Set([query])\n\n  /* Return segmented query value */\n  return segments\n}\n", "/*\n * Copyright (c) 2016-2024 Martin Donath <martin.donath@squidfunk.com>\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to\n * deal in the Software without restriction, including without limitation the\n * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n * sell copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in\n * all copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n * IN THE SOFTWARE.\n */\n\nimport {\n  SearchDocument,\n  SearchIndex,\n  SearchOptions,\n  setupSearchDocumentMap\n} from \"../config\"\nimport {\n  Position,\n  PositionTable,\n  highlight,\n  highlightAll,\n  tokenize\n} from \"../internal\"\nimport {\n  SearchQueryTerms,\n  getSearchQueryTerms,\n  parseSearchQuery,\n  segment,\n  transformSearchQuery\n} from \"../query\"\n\n/* ----------------------------------------------------------------------------\n * Types\n * ------------------------------------------------------------------------- */\n\n/**\n * Search item\n */\nexport interface SearchItem\n  extends SearchDocument\n{\n  score: number                        /* Score (relevance) */\n  terms: SearchQueryTerms              /* Search query terms */\n}\n\n/**\n * Search result\n */\nexport interface SearchResult {\n  items: SearchItem[][]                /* Search items */\n  suggest?: string[]                   /* Search suggestions */\n}\n\n/* ----------------------------------------------------------------------------\n * Functions\n * ------------------------------------------------------------------------- */\n\n/**\n * Create field extractor factory\n *\n * @param table - Position table map\n *\n * @returns Extractor factory\n */\nfunction extractor(table: Map<string, PositionTable>) {\n  return (name: keyof SearchDocument) => {\n    return (doc: SearchDocument) => {\n      if (typeof doc[name] === \"undefined\")\n        return undefined\n\n      /* Compute identifier and initialize table */\n      const id = [doc.location, name].join(\":\")\n      table.set(id, lunr.tokenizer.table = [])\n\n      /* Return field value */\n      return doc[name]\n    }\n  }\n}\n\n/**\n * Compute the difference of two lists of strings\n *\n * @param a - 1st list of strings\n * @param b - 2nd list of strings\n *\n * @returns Difference\n */\nfunction difference(a: string[], b: string[]): string[] {\n  const [x, y] = [new Set(a), new Set(b)]\n  return [\n    ...new Set([...x].filter(value => !y.has(value)))\n  ]\n}\n\n/* ----------------------------------------------------------------------------\n * Class\n * ------------------------------------------------------------------------- */\n\n/**\n * Search index\n */\nexport class Search {\n\n  /**\n   * Search document map\n   */\n  protected map: Map<string, SearchDocument>\n\n  /**\n   * Search options\n   */\n  protected options: SearchOptions\n\n  /**\n   * The underlying Lunr.js search index\n   */\n  protected index: lunr.Index\n\n  /**\n   * Internal position table map\n   */\n  protected table: Map<string, PositionTable>\n\n  /**\n   * Create the search integration\n   *\n   * @param data - Search index\n   */\n  public constructor({ config, docs, options }: SearchIndex) {\n    const field = extractor(this.table = new Map())\n\n    /* Set up document map and options */\n    this.map = setupSearchDocumentMap(docs)\n    this.options = options\n\n    /* Set up document index */\n    this.index = lunr(function () {\n      this.metadataWhitelist = [\"position\"]\n      this.b(0)\n\n      /* Set up (multi-)language support */\n      if (config.lang.length === 1 && config.lang[0] !== \"en\") {\n        // @ts-expect-error - namespace indexing not supported\n        this.use(lunr[config.lang[0]])\n      } else if (config.lang.length > 1) {\n        this.use(lunr.multiLanguage(...config.lang))\n      }\n\n      /* Set up custom tokenizer (must be after language setup) */\n      this.tokenizer = tokenize as typeof lunr.tokenizer\n      lunr.tokenizer.separator = new RegExp(config.separator)\n\n      /* Set up custom segmenter, if loaded */\n      lunr.segmenter = \"TinySegmenter\" in lunr\n        ? new lunr.TinySegmenter()\n        : undefined\n\n      /* Compute functions to be removed from the pipeline */\n      const fns = difference([\n        \"trimmer\", \"stopWordFilter\", \"stemmer\"\n      ], config.pipeline)\n\n      /* Remove functions from the pipeline for registered languages */\n      for (const lang of config.lang.map(language => (\n        // @ts-expect-error - namespace indexing not supported\n        language === \"en\" ? lunr : lunr[language]\n      )))\n        for (const fn of fns) {\n          this.pipeline.remove(lang[fn])\n          this.searchPipeline.remove(lang[fn])\n        }\n\n      /* Set up index reference */\n      this.ref(\"location\")\n\n      /* Set up index fields */\n      this.field(\"title\", { boost: 1e3, extractor: field(\"title\") })\n      this.field(\"text\",  { boost: 1e0, extractor: field(\"text\") })\n      this.field(\"tags\",  { boost: 1e6, extractor: field(\"tags\") })\n\n      /* Add documents to index */\n      for (const doc of docs)\n        this.add(doc, { boost: doc.boost })\n    })\n  }\n\n  /**\n   * Search for matching documents\n   *\n   * @param query - Search query\n   *\n   * @returns Search result\n   */\n  public search(query: string): SearchResult {\n\n    // Experimental Chinese segmentation\n    query = query.replace(/\\p{sc=Han}+/gu, value => {\n      return [...segment(value, this.index.invertedIndex)]\n        .join(\"* \")\n    })\n\n    // @todo: move segmenter (above) into transformSearchQuery\n    query = transformSearchQuery(query)\n    if (!query)\n      return { items: [] }\n\n    /* Parse query to extract clauses for analysis */\n    const clauses = parseSearchQuery(query)\n      .filter(clause => (\n        clause.presence !== lunr.Query.presence.PROHIBITED\n      ))\n\n    /* Perform search and post-process results */\n    const groups = this.index.search(query)\n\n      /* Apply post-query boosts based on title and search query terms */\n      .reduce<SearchItem[]>((item, { ref, score, matchData }) => {\n        let doc = this.map.get(ref)\n        if (typeof doc !== \"undefined\") {\n\n          /* Shallow copy document */\n          doc = { ...doc }\n          if (doc.tags)\n            doc.tags = [...doc.tags]\n\n          /* Compute and analyze search query terms */\n          const terms = getSearchQueryTerms(\n            clauses,\n            Object.keys(matchData.metadata)\n          )\n\n          /* Highlight matches in fields */\n          for (const field of this.index.fields) {\n            if (typeof doc[field] === \"undefined\")\n              continue\n\n            /* Collect positions from matches */\n            const positions: Position[] = []\n            for (const match of Object.values(matchData.metadata))\n              if (typeof match[field] !== \"undefined\")\n                positions.push(...match[field].position)\n\n            /* Skip highlighting, if no positions were collected */\n            if (!positions.length)\n              continue\n\n            /* Load table and determine highlighting method */\n            const table = this.table.get([doc.location, field].join(\":\"))!\n            const fn = Array.isArray(doc[field])\n              ? highlightAll\n              : highlight\n\n            // @ts-expect-error - stop moaning, TypeScript!\n            doc[field] = fn(doc[field], table, positions, field !== \"text\")\n          }\n\n          /* Highlight title and text and apply post-query boosts */\n          const boost = +!doc.parent +\n            Object.values(terms)\n              .filter(t => t).length /\n            Object.keys(terms).length\n\n          /* Append item */\n          item.push({\n            ...doc,\n            score: score * (1 + boost ** 2),\n            terms\n          })\n        }\n        return item\n      }, [])\n\n      /* Sort search results again after applying boosts */\n      .sort((a, b) => b.score - a.score)\n\n      /* Group search results by article */\n      .reduce((items, result) => {\n        const doc = this.map.get(result.location)\n        if (typeof doc !== \"undefined\") {\n          const ref = doc.parent\n            ? doc.parent.location\n            : doc.location\n          items.set(ref, [...items.get(ref) || [], result])\n        }\n        return items\n      }, new Map<string, SearchItem[]>())\n\n    /* Ensure that every item set has an article */\n    for (const [ref, items] of groups)\n      if (!items.find(item => item.location === ref)) {\n        const doc = this.map.get(ref)!\n        items.push({ ...doc, score: 0, terms: {} })\n      }\n\n    /* Generate search suggestions, if desired */\n    let suggest: string[] | undefined\n    if (this.options.suggest) {\n      const titles = this.index.query(builder => {\n        for (const clause of clauses)\n          builder.term(clause.term, {\n            fields: [\"title\"],\n            presence: lunr.Query.presence.REQUIRED,\n            wildcard: lunr.Query.wildcard.TRAILING\n          })\n      })\n\n      /* Retrieve suggestions for best match */\n      suggest = titles.length\n        ? 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@@ -1233,7 +1233,7 @@ <h1>What about best practices ?</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/build_process/index.html b/build_process/index.html
index 3fc2b63a..d30aeae3 100644
--- a/build_process/index.html
+++ b/build_process/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>What about the build process of the service ?</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/builders/index.html b/builders/index.html
index 29fbdae5..299887ae 100644
--- a/builders/index.html
+++ b/builders/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1471,7 +1471,7 @@ <h3 id="devices">Devices</h3>
 </span></code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_smartphone</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Hardware id-2e0de8-Default-smartphone
+<div class="language-text highlight"><pre><span></span><code>Hardware id-149c9c-Default-smartphone
 
 carbon_footprint_fabrication: 30 kilogram
 power: 1 watt
@@ -1480,7 +1480,7 @@ <h3 id="devices">Devices</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_laptop</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Hardware id-a3b759-Default-laptop
+<div class="language-text highlight"><pre><span></span><code>Hardware id-b6dd66-Default-laptop
 
 carbon_footprint_fabrication: 156 kilogram
 power: 50 watt
@@ -1489,7 +1489,7 @@ <h3 id="devices">Devices</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_box</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Hardware id-9b4492-Default-box
+<div class="language-text highlight"><pre><span></span><code>Hardware id-16d76d-Default-box
 
 carbon_footprint_fabrication: 78 kilogram
 power: 10 watt
@@ -1498,7 +1498,7 @@ <h3 id="devices">Devices</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_screen</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Hardware id-660056-Default-screen
+<div class="language-text highlight"><pre><span></span><code>Hardware id-c000d0-Default-screen
 
 carbon_footprint_fabrication: 222 kilogram
 power: 30 watt
@@ -1510,7 +1510,7 @@ <h3 id="network">Network</h3>
 </span></code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_mobile_network</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Network id-5dcfe6-Default-mobile-network
+<div class="language-text highlight"><pre><span></span><code>Network id-c5d031-Default-mobile-network
 
 bandwidth_energy_intensity: 0.12 kilowatt_hour / gigabyte
 
@@ -1519,7 +1519,7 @@ <h3 id="network">Network</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_wifi_network</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Network id-3cfdaa-Default-wifi-network
+<div class="language-text highlight"><pre><span></span><code>Network id-523aa4-Default-wifi-network
 
 bandwidth_energy_intensity: 0.05 kilowatt_hour / gigabyte
 
@@ -1532,7 +1532,7 @@ <h3 id="servers">Servers</h3>
 </span></code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-9-1"><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_autoscaling</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Autoscaling id-ff50c6-Default-autoscaling
+<div class="language-text highlight"><pre><span></span><code>Autoscaling id-8fdf9e-Default-autoscaling
 
 carbon_footprint_fabrication: 600 kilogram
 power: 300 watt
@@ -1560,7 +1560,7 @@ <h3 id="servers">Servers</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-10-1"><a id="__codelineno-10-1" name="__codelineno-10-1" href="#__codelineno-10-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_serverless</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Serverless id-e59887-Default-serverless
+<div class="language-text highlight"><pre><span></span><code>Serverless id-f762a0-Default-serverless
 
 carbon_footprint_fabrication: 600 kilogram
 power: 300 watt
@@ -1588,7 +1588,7 @@ <h3 id="servers">Servers</h3>
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-11-1"><a id="__codelineno-11-1" name="__codelineno-11-1" href="#__codelineno-11-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_onpremise</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>OnPremise id-5873b3-Default-on-premise
+<div class="language-text highlight"><pre><span></span><code>OnPremise id-e29660-Default-on-premise
 
 carbon_footprint_fabrication: 600 kilogram
 power: 300 watt
@@ -1620,7 +1620,7 @@ <h3 id="storage">Storage</h3>
 </span></code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-13-1"><a id="__codelineno-13-1" name="__codelineno-13-1" href="#__codelineno-13-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_hdd</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Storage id-05a8db-Default-HDD-storage
+<div class="language-text highlight"><pre><span></span><code>Storage id-65c609-Default-HDD-storage
 
 carbon_footprint_fabrication: 20 kilogram
 power: 4.2 watt
@@ -1637,20 +1637,18 @@ <h3 id="storage">Storage</h3>
 base_storage_need: 0 terabyte
 
 calculated_attributes:
-  storage_needed: None
-  storage_dumps: None
   storage_delta: None
   full_cumulative_storage_need: None
-  nb_of_active_instances: None
   raw_nb_of_instances: None
   nb_of_instances: None
+  nb_of_active_instances: None
   instances_fabrication_footprint: None
   instances_energy: None
   energy_footprint: None
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-14-1"><a id="__codelineno-14-1" name="__codelineno-14-1" href="#__codelineno-14-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_ssd</span><span class="p">())</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Storage id-e8fffc-Default-SSD-storage
+<div class="language-text highlight"><pre><span></span><code>Storage id-0995de-Default-SSD-storage
 
 carbon_footprint_fabrication: 160 kilogram
 power: 1.3 watt
@@ -1667,13 +1665,11 @@ <h3 id="storage">Storage</h3>
 base_storage_need: 0 terabyte
 
 calculated_attributes:
-  storage_needed: None
-  storage_dumps: None
   storage_delta: None
   full_cumulative_storage_need: None
-  nb_of_active_instances: None
   raw_nb_of_instances: None
   nb_of_instances: None
+  nb_of_active_instances: None
   instances_fabrication_footprint: None
   instances_energy: None
   energy_footprint: None
@@ -1685,7 +1681,7 @@ <h2 id="overwriting-default-builders-attributes">Overwriting default builders at
 </span><span id="__span-15-3"><a id="__codelineno-15-3" name="__codelineno-15-3" href="#__codelineno-15-3"></a>
 </span><span id="__span-15-4"><a id="__codelineno-15-4" name="__codelineno-15-4" href="#__codelineno-15-4"></a><span class="nb">print</span><span class="p">(</span><span class="n">default_ssd</span><span class="p">(</span><span class="s2">&quot;My custom default SSD with higher carbon intensity&quot;</span><span class="p">,</span> <span class="n">average_carbon_intensity</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mi">300</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">g</span> <span class="o">/</span> <span class="n">u</span><span class="o">.</span><span class="n">kWh</span><span class="p">)))</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Storage id-a109f9-My-custom-default-SSD-with-higher-carbon-intensity
+<div class="language-text highlight"><pre><span></span><code>Storage id-44542c-My-custom-default-SSD-with-higher-carbon-intensity
 
 carbon_footprint_fabrication: 160 kilogram
 power: 1.3 watt
@@ -1702,13 +1698,11 @@ <h2 id="overwriting-default-builders-attributes">Overwriting default builders at
 base_storage_need: 0 terabyte
 
 calculated_attributes:
-  storage_needed: None
-  storage_dumps: None
   storage_delta: None
   full_cumulative_storage_need: None
-  nb_of_active_instances: None
   raw_nb_of_instances: None
   nb_of_instances: None
+  nb_of_active_instances: None
   instances_fabrication_footprint: None
   instances_energy: None
   energy_footprint: None
@@ -1721,7 +1715,7 @@ <h4 id="cloud-server-from-cloud-provider-and-server-name">Cloud server from clou
 </span></code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-17-1"><a id="__codelineno-17-1" name="__codelineno-17-1" href="#__codelineno-17-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">get_cloud_server</span><span class="p">(</span><span class="s2">&quot;aws&quot;</span><span class="p">,</span> <span class="s2">&quot;m5.xlarge&quot;</span><span class="p">,</span> <span class="n">SourceValue</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">g</span> <span class="o">/</span> <span class="n">u</span><span class="o">.</span><span class="n">kWh</span><span class="p">)))</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Autoscaling id-5b7168-aws-m52exlarge-instances
+<div class="language-text highlight"><pre><span></span><code>Autoscaling id-085909-aws-m52exlarge-instances
 
 carbon_footprint_fabrication: 48.0 kilogram
 power: 25.94 watt
@@ -1753,7 +1747,7 @@ <h4 id="cloud-server-from-cloud-provider-and-server-name">Cloud server from clou
 </span><span id="__span-18-4"><a id="__codelineno-18-4" name="__codelineno-18-4" href="#__codelineno-18-4"></a><span class="nb">print</span><span class="p">(</span><span class="n">get_cloud_server</span><span class="p">(</span>
 </span><span id="__span-18-5"><a id="__codelineno-18-5" name="__codelineno-18-5" href="#__codelineno-18-5"></a>    <span class="s2">&quot;aws&quot;</span><span class="p">,</span> <span class="s2">&quot;m5.xlarge&quot;</span><span class="p">,</span> <span class="n">SourceValue</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">g</span> <span class="o">/</span> <span class="n">u</span><span class="o">.</span><span class="n">kWh</span><span class="p">),</span> <span class="n">base_efootprint_class</span><span class="o">=</span><span class="n">Serverless</span><span class="p">,</span> <span class="n">lifespan</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mi">7</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">year</span><span class="p">)))</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Serverless id-40e5ce-aws-m52exlarge-instances
+<div class="language-text highlight"><pre><span></span><code>Serverless id-d551a6-aws-m52exlarge-instances
 
 carbon_footprint_fabrication: 48.0 kilogram
 power: 25.94 watt
@@ -1786,7 +1780,7 @@ <h4 id="on-premise-server-from-config">On premise server from config</h4>
 </span><span id="__span-20-2"><a id="__codelineno-20-2" name="__codelineno-20-2" href="#__codelineno-20-2"></a>    <span class="s2">&quot;My server&quot;</span><span class="p">,</span> <span class="n">nb_of_cpu_units</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">nb_of_cores_per_cpu_unit</span><span class="o">=</span><span class="mi">24</span><span class="p">,</span><span class="n">nb_of_ram_units</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span>
 </span><span id="__span-20-3"><a id="__codelineno-20-3" name="__codelineno-20-3" href="#__codelineno-20-3"></a>    <span class="n">ram_quantity_per_unit_in_gb</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">average_carbon_intensity</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">g</span> <span class="o">/</span> <span class="n">u</span><span class="o">.</span><span class="n">kWh</span><span class="p">),</span><span class="n">base_ram_consumption</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mi">1</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">MB</span><span class="p">)))</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>OnPremise id-1c793a-My-server
+<div class="language-text highlight"><pre><span></span><code>OnPremise id-35ac11-My-server
 
 carbon_footprint_fabrication: 670.0 kilogram
 power: 520.99 watt
@@ -1824,14 +1818,14 @@ <h2 id="job-builder-from-boaviztas-ecobenchmark-data">Job builder from Boavizta
 </span><span id="__span-21-8"><a id="__codelineno-21-8" name="__codelineno-21-8" href="#__codelineno-21-8"></a>
 </span><span id="__span-21-9"><a id="__codelineno-21-9" name="__codelineno-21-9" href="#__codelineno-21-9"></a><span class="nb">print</span><span class="p">(</span><span class="n">job</span><span class="p">)</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>2024-09-24 10:04:07,411 - INFO - File /ecobenchmark_results__raw.csv already exists, we do not overwrite it
+<div class="language-text highlight"><pre><span></span><code>2024-09-27 09:38:57,818 - INFO - File /ecobenchmark_results__raw.csv already exists, we do not overwrite it
 
 
-Job id-a837ef-test-job
+Job id-abc585-test-job
 
 job_type: undefined
-server: id-51901b-Default-autoscaling
-storage: id-3ba5d0-Default-SSD-storage
+server: id-905565-Default-autoscaling
+storage: id-c5277f-Default-SSD-storage
 data_upload: 1 megabyte
 data_download: 1 megabyte
 data_stored: 1 megabyte
@@ -1900,7 +1894,7 @@ <h2 id="job-builder-from-boaviztas-ecobenchmark-data">Job builder from Boavizta
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/calculus_graphs/network_energy_footprint.html b/calculus_graphs/network_energy_footprint.html
index 45415a23..bb36498e 100644
--- a/calculus_graphs/network_energy_footprint.html
+++ b/calculus_graphs/network_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e729bd {
+             #mynetwork_5e2c39 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e729bd" class="card-body"></div>
+            <div id="mynetwork_5e2c39" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e729bd');
+                  var container = document.getElementById('mynetwork_5e2c39');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -200.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -225.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 150.0, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 0.0, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": -75.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 75.0, "y": 300}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 200.0, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 225.0, "y": 300}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -200.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -225.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 150.0, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 0.0, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": -75.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 75.0, "y": 300}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 200.0, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 225.0, "y": 300}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern network energy consumption", "to": "Hourly network energy footprint"}, {"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data upload per hour for job streaming in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "Data upload of request streaming", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Hourly data download for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data download per hour for job streaming in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "Data download of request streaming", "to": "data download per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data download per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "bandwith energy intensity of network", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Hourly network energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_available_cpu_per_instance.html b/calculus_graphs/on_premise_server_available_cpu_per_instance.html
index 34af118e..e7ca3fe1 100644
--- a/calculus_graphs/on_premise_server_available_cpu_per_instance.html
+++ b/calculus_graphs/on_premise_server_available_cpu_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9dda1c {
+             #mynetwork_d010be {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_9dda1c" class="card-body"></div>
+            <div id="mynetwork_d010be" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9dda1c');
+                  var container = document.getElementById('mynetwork_d010be');
 
                   
 
diff --git a/calculus_graphs/on_premise_server_available_ram_per_instance.html b/calculus_graphs/on_premise_server_available_ram_per_instance.html
index 145bf0b7..45d2b3e6 100644
--- a/calculus_graphs/on_premise_server_available_ram_per_instance.html
+++ b/calculus_graphs/on_premise_server_available_ram_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5f9028 {
+             #mynetwork_ef1dc0 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5f9028" class="card-body"></div>
+            <div id="mynetwork_ef1dc0" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5f9028');
+                  var container = document.getElementById('mynetwork_ef1dc0');
 
                   
 
diff --git a/calculus_graphs/on_premise_server_energy_footprint.html b/calculus_graphs/on_premise_server_energy_footprint.html
index bad76ebc..fd0783ea 100644
--- a/calculus_graphs/on_premise_server_energy_footprint.html
+++ b/calculus_graphs/on_premise_server_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_70eae9 {
+             #mynetwork_2343ae {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_70eae9" class="card-body"></div>
+            <div id="mynetwork_2343ae" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_70eae9');
+                  var container = document.getElementById('mynetwork_2343ae');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -675.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": -225.0, "y": 1200}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -675.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": -225.0, "y": 1200}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by on premise server instances", "to": "Hourly on premise server energy footprint"}, {"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Average carbon intensity of on premise server electricity", "to": "Hourly on premise server energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_hour_by_hour_cpu_need.html b/calculus_graphs/on_premise_server_hour_by_hour_cpu_need.html
index 426eab67..55972081 100644
--- a/calculus_graphs/on_premise_server_hour_by_hour_cpu_need.html
+++ b/calculus_graphs/on_premise_server_hour_by_hour_cpu_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_451e2e {
+             #mynetwork_0006ed {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_451e2e" class="card-body"></div>
+            <div id="mynetwork_0006ed" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_451e2e');
+                  var container = document.getElementById('mynetwork_0006ed');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_hour_by_hour_ram_need.html b/calculus_graphs/on_premise_server_hour_by_hour_ram_need.html
index ab977296..037d1f85 100644
--- a/calculus_graphs/on_premise_server_hour_by_hour_ram_need.html
+++ b/calculus_graphs/on_premise_server_hour_by_hour_ram_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_49afe3 {
+             #mynetwork_ce3a63 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_49afe3" class="card-body"></div>
+            <div id="mynetwork_ce3a63" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_49afe3');
+                  var container = document.getElementById('mynetwork_ce3a63');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_instances_energy.html b/calculus_graphs/on_premise_server_instances_energy.html
index 9c977dab..6bb83d8c 100644
--- a/calculus_graphs/on_premise_server_instances_energy.html
+++ b/calculus_graphs/on_premise_server_instances_energy.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0a5007 {
+             #mynetwork_8d4066 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_0a5007" class="card-body"></div>
+            <div id="mynetwork_8d4066" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0a5007');
+                  var container = document.getElementById('mynetwork_8d4066');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -675.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": -225.0, "y": 1200}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -675.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": -225.0, "y": 1200}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_instances_fabrication_footprint.html b/calculus_graphs/on_premise_server_instances_fabrication_footprint.html
index 79e83e61..3afc1207 100644
--- a/calculus_graphs/on_premise_server_instances_fabrication_footprint.html
+++ b/calculus_graphs/on_premise_server_instances_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0f9e01 {
+             #mynetwork_2739f9 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_0f9e01" class="card-body"></div>
+            <div id="mynetwork_2739f9" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0f9e01');
+                  var container = document.getElementById('mynetwork_2739f9');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -300.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -300.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Carbon footprint fabrication of on premise server", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of on premise server", "to": "Hourly on premise server instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_nb_of_instances.html b/calculus_graphs/on_premise_server_nb_of_instances.html
index 51d75c75..d634d5cc 100644
--- a/calculus_graphs/on_premise_server_nb_of_instances.html
+++ b/calculus_graphs/on_premise_server_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_54d17e {
+             #mynetwork_38ca6e {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_54d17e" class="card-body"></div>
+            <div id="mynetwork_38ca6e" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_54d17e');
+                  var container = document.getElementById('mynetwork_38ca6e');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -300.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -300.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/on_premise_server_raw_nb_of_instances.html b/calculus_graphs/on_premise_server_raw_nb_of_instances.html
index 19bac934..a934aeb3 100644
--- a/calculus_graphs/on_premise_server_raw_nb_of_instances.html
+++ b/calculus_graphs/on_premise_server_raw_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_a0715f {
+             #mynetwork_aa1a56 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_a0715f" class="card-body"></div>
+            <div id="mynetwork_aa1a56" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_a0715f');
+                  var container = document.getElementById('mynetwork_aa1a56');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of on premise server", "label": "RAM of on premise\nserver", "shape": "dot", "size": 15, "title": "RAM of on premise server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "on premise server utilization rate", "label": "on premise server\nutilization rate", "shape": "dot", "size": 15, "title": "on premise server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of on premise server", "label": "Base RAM consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base RAM consumption of on premise server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of on premise server", "label": "Nb cpus cores of on\npremise server", "shape": "dot", "size": 15, "title": "Nb cpus cores of on premise server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of on premise server", "label": "Base CPU consumption\nof on premise server", "shape": "dot", "size": 15, "title": "Base CPU consumption of on premise server = 2 core", "x": 525.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Base RAM consumption of on premise server", "to": "Available RAM per on premise server instance"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of on premise server", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "on premise server utilization rate", "to": "Available CPU per on premise server instance"}, {"arrows": "to", "from": "Base CPU consumption of on premise server", "to": "Available CPU per on premise server instance"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_available_cpu_per_instance.html b/calculus_graphs/server_available_cpu_per_instance.html
index 5812827b..8db4ca2e 100644
--- a/calculus_graphs/server_available_cpu_per_instance.html
+++ b/calculus_graphs/server_available_cpu_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_cdef6f {
+             #mynetwork_4b51c9 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_cdef6f" class="card-body"></div>
+            <div id="mynetwork_4b51c9" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_cdef6f');
+                  var container = document.getElementById('mynetwork_4b51c9');
 
                   
 
diff --git a/calculus_graphs/server_available_ram_per_instance.html b/calculus_graphs/server_available_ram_per_instance.html
index 7094c4da..7f5eaf07 100644
--- a/calculus_graphs/server_available_ram_per_instance.html
+++ b/calculus_graphs/server_available_ram_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_ea0dd4 {
+             #mynetwork_b24c1e {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_ea0dd4" class="card-body"></div>
+            <div id="mynetwork_b24c1e" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_ea0dd4');
+                  var container = document.getElementById('mynetwork_b24c1e');
 
                   
 
diff --git a/calculus_graphs/server_energy_footprint.html b/calculus_graphs/server_energy_footprint.html
index 8b05045b..6b0fa978 100644
--- a/calculus_graphs/server_energy_footprint.html
+++ b/calculus_graphs/server_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0cec62 {
+             #mynetwork_6ee1bf {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_0cec62" class="card-body"></div>
+            <div id="mynetwork_6ee1bf" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0cec62');
+                  var container = document.getElementById('mynetwork_6ee1bf');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by server instances", "to": "Hourly server energy footprint"}, {"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Average carbon intensity of server electricity", "to": "Hourly server energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_hour_by_hour_cpu_need.html b/calculus_graphs/server_hour_by_hour_cpu_need.html
index 422cc53f..2efc5a4a 100644
--- a/calculus_graphs/server_hour_by_hour_cpu_need.html
+++ b/calculus_graphs/server_hour_by_hour_cpu_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_33838f {
+             #mynetwork_119f7f {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_33838f" class="card-body"></div>
+            <div id="mynetwork_119f7f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_33838f');
+                  var container = document.getElementById('mynetwork_119f7f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_hour_by_hour_ram_need.html b/calculus_graphs/server_hour_by_hour_ram_need.html
index 0ab777fb..0a6379e5 100644
--- a/calculus_graphs/server_hour_by_hour_ram_need.html
+++ b/calculus_graphs/server_hour_by_hour_ram_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f808fa {
+             #mynetwork_3e93bc {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_f808fa" class="card-body"></div>
+            <div id="mynetwork_3e93bc" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f808fa');
+                  var container = document.getElementById('mynetwork_3e93bc');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_instances_energy.html b/calculus_graphs/server_instances_energy.html
index cb0d45f5..e4e49b1c 100644
--- a/calculus_graphs/server_instances_energy.html
+++ b/calculus_graphs/server_instances_energy.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9354bd {
+             #mynetwork_7a82bf {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_9354bd" class="card-body"></div>
+            <div id="mynetwork_7a82bf" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9354bd');
+                  var container = document.getElementById('mynetwork_7a82bf');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_instances_fabrication_footprint.html b/calculus_graphs/server_instances_fabrication_footprint.html
index b5045616..2dabb36c 100644
--- a/calculus_graphs/server_instances_fabrication_footprint.html
+++ b/calculus_graphs/server_instances_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d1b76f {
+             #mynetwork_82330c {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_d1b76f" class="card-body"></div>
+            <div id="mynetwork_82330c" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d1b76f');
+                  var container = document.getElementById('mynetwork_82330c');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Carbon footprint fabrication of server", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of server", "to": "Hourly server instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_nb_of_instances.html b/calculus_graphs/server_nb_of_instances.html
index 24d89d00..9104cd2c 100644
--- a/calculus_graphs/server_nb_of_instances.html
+++ b/calculus_graphs/server_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_92ceef {
+             #mynetwork_47f059 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_92ceef" class="card-body"></div>
+            <div id="mynetwork_47f059" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_92ceef');
+                  var container = document.getElementById('mynetwork_47f059');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}, {"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/server_raw_nb_of_instances.html b/calculus_graphs/server_raw_nb_of_instances.html
index a5dcf9ef..e13a6e77 100644
--- a/calculus_graphs/server_raw_nb_of_instances.html
+++ b/calculus_graphs/server_raw_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_2e53a7 {
+             #mynetwork_ef4aa1 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_2e53a7" class="card-body"></div>
+            <div id="mynetwork_ef4aa1" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_2e53a7');
+                  var container = document.getElementById('mynetwork_ef4aa1');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of server", "label": "RAM of server", "shape": "dot", "size": 15, "title": "RAM of server = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "server utilization rate", "label": "server utilization\nrate", "shape": "dot", "size": 15, "title": "server utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of server", "label": "Base RAM consumption\nof server", "shape": "dot", "size": 15, "title": "Base RAM consumption of server = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of server", "label": "Nb cpus cores of\nserver", "shape": "dot", "size": 15, "title": "Nb cpus cores of server = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of server", "label": "Base CPU consumption\nof server", "shape": "dot", "size": 15, "title": "Base CPU consumption of server = 2 core", "x": 525.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "RAM of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Base RAM consumption of server", "to": "Available RAM per server instance"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of server", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "server utilization rate", "to": "Available CPU per server instance"}, {"arrows": "to", "from": "Base CPU consumption of server", "to": "Available CPU per server instance"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_available_cpu_per_instance.html b/calculus_graphs/serverless_available_cpu_per_instance.html
index b124b732..1466ffaa 100644
--- a/calculus_graphs/serverless_available_cpu_per_instance.html
+++ b/calculus_graphs/serverless_available_cpu_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_c4b72d {
+             #mynetwork_87c80b {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_c4b72d" class="card-body"></div>
+            <div id="mynetwork_87c80b" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_c4b72d');
+                  var container = document.getElementById('mynetwork_87c80b');
 
                   
 
diff --git a/calculus_graphs/serverless_available_ram_per_instance.html b/calculus_graphs/serverless_available_ram_per_instance.html
index 17b6a974..24a7f2da 100644
--- a/calculus_graphs/serverless_available_ram_per_instance.html
+++ b/calculus_graphs/serverless_available_ram_per_instance.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1bc9da {
+             #mynetwork_84de1e {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1bc9da" class="card-body"></div>
+            <div id="mynetwork_84de1e" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1bc9da');
+                  var container = document.getElementById('mynetwork_84de1e');
 
                   
 
diff --git a/calculus_graphs/serverless_energy_footprint.html b/calculus_graphs/serverless_energy_footprint.html
index 9b1d0384..ab3bc20c 100644
--- a/calculus_graphs/serverless_energy_footprint.html
+++ b/calculus_graphs/serverless_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e2a013 {
+             #mynetwork_f7d5ff {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e2a013" class="card-body"></div>
+            <div id="mynetwork_f7d5ff" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e2a013');
+                  var container = document.getElementById('mynetwork_f7d5ff');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01] * 100.0 gram\n/ kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01] * 100.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by serverless instances", "to": "Hourly serverless energy footprint"}, {"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Average carbon intensity of serverless electricity", "to": "Hourly serverless energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_hour_by_hour_cpu_need.html b/calculus_graphs/serverless_hour_by_hour_cpu_need.html
index 24a251a7..99637e8e 100644
--- a/calculus_graphs/serverless_hour_by_hour_cpu_need.html
+++ b/calculus_graphs/serverless_hour_by_hour_cpu_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_97ef63 {
+             #mynetwork_b19b3f {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_97ef63" class="card-body"></div>
+            <div id="mynetwork_b19b3f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_97ef63');
+                  var container = document.getElementById('mynetwork_b19b3f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_hour_by_hour_ram_need.html b/calculus_graphs/serverless_hour_by_hour_ram_need.html
index b0c6920f..24d3fe36 100644
--- a/calculus_graphs/serverless_hour_by_hour_ram_need.html
+++ b/calculus_graphs/serverless_hour_by_hour_ram_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_47efa0 {
+             #mynetwork_efd6fe {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_47efa0" class="card-body"></div>
+            <div id="mynetwork_efd6fe" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_47efa0');
+                  var container = document.getElementById('mynetwork_efd6fe');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_instances_energy.html b/calculus_graphs/serverless_instances_energy.html
index e6057977..521f4151 100644
--- a/calculus_graphs/serverless_instances_energy.html
+++ b/calculus_graphs/serverless_instances_energy.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_18aa5a {
+             #mynetwork_4f2d26 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_18aa5a" class="card-body"></div>
+            <div id="mynetwork_4f2d26" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_18aa5a');
+                  var container = document.getElementById('mynetwork_4f2d26');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -750.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -750.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -825.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -800.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -600.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -600.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -450.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 450.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 0.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -600.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -675.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -400.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -200.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 0.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 200.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": -375.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 400.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 600.0, "y": 750}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_instances_fabrication_footprint.html b/calculus_graphs/serverless_instances_fabrication_footprint.html
index 8fc87cd1..5b274a3f 100644
--- a/calculus_graphs/serverless_instances_fabrication_footprint.html
+++ b/calculus_graphs/serverless_instances_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_8c52fe {
+             #mynetwork_12be07 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_8c52fe" class="card-body"></div>
+            <div id="mynetwork_12be07" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_8c52fe');
+                  var container = document.getElementById('mynetwork_12be07');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Carbon footprint fabrication of serverless", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of serverless", "to": "Hourly serverless instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_nb_of_instances.html b/calculus_graphs/serverless_nb_of_instances.html
index 8c09f005..02086f13 100644
--- a/calculus_graphs/serverless_nb_of_instances.html
+++ b/calculus_graphs/serverless_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_039c0e {
+             #mynetwork_c135ce {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_039c0e" class="card-body"></div>
+            <div id="mynetwork_c135ce" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_039c0e');
+                  var container = document.getElementById('mynetwork_c135ce');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}, {"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/serverless_raw_nb_of_instances.html b/calculus_graphs/serverless_raw_nb_of_instances.html
index 1a5d39ad..d5d48049 100644
--- a/calculus_graphs/serverless_raw_nb_of_instances.html
+++ b/calculus_graphs/serverless_raw_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_19d0be {
+             #mynetwork_c772eb {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_19d0be" class="card-body"></div>
+            <div id="mynetwork_c772eb" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_19d0be');
+                  var container = document.getElementById('mynetwork_c772eb');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -525.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 300.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 300.0, "y": 450}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": -375.0, "y": 750}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "RAM of serverless", "label": "RAM of serverless", "shape": "dot", "size": 15, "title": "RAM of serverless = 128 gigabyte", "x": -225.0, "y": 750}, {"color": null, "id": "serverless utilization rate", "label": "serverless\nutilization rate", "shape": "dot", "size": 15, "title": "serverless utilization rate = 0.9 dimensionless", "x": -75.0, "y": 750}, {"color": null, "id": "Base RAM consumption of serverless", "label": "Base RAM consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base RAM consumption of serverless = 300 megabyte", "x": 75.0, "y": 750}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 225.0, "y": 750}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}, {"color": null, "id": "Nb cpus cores of serverless", "label": "Nb cpus cores of\nserverless", "shape": "dot", "size": 15, "title": "Nb cpus cores of serverless = 24 core", "x": 375.0, "y": 750}, {"color": null, "id": "Base CPU consumption of serverless", "label": "Base CPU consumption\nof serverless", "shape": "dot", "size": 15, "title": "Base CPU consumption of serverless = 2 core", "x": 525.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "RAM of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Base RAM consumption of serverless", "to": "Available RAM per serverless instance"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Nb cpus cores of serverless", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "serverless utilization rate", "to": "Available CPU per serverless instance"}, {"arrows": "to", "from": "Base CPU consumption of serverless", "to": "Available CPU per serverless instance"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_energy_footprint.html b/calculus_graphs/storage_energy_footprint.html
index 5fe1321f..556b54a9 100644
--- a/calculus_graphs/storage_energy_footprint.html
+++ b/calculus_graphs/storage_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f9212f {
+             #mynetwork_855e36 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_f9212f" class="card-body"></div>
+            <div id="mynetwork_855e36" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f9212f');
+                  var container = document.getElementById('mynetwork_855e36');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 2100}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 1950}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1650}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -437.50000000000006, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -420.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -450.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -437.50000000000006, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -393.75, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -350.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -262.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 262.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": -131.25, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 350.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": -300.0, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": -393.75, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": -210.0, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": -210.0, "y": 1350}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -420.0, "y": 1800}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -210.0, "y": 1800}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1950}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 210.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -262.5, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -393.75, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -420.0, "y": 1350}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": -262.5, "y": 1200}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 420.0, "y": 1800}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 262.5, "y": 2100}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Storage energy for storage", "to": "Hourly storage energy footprint"}, {"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Average carbon intensity of storage electricity", "to": "Hourly storage energy footprint"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2400}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2250}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2100}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -187.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -187.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -250.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -187.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 187.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 187.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 250.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 187.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 187.5, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 187.5, "y": 1350}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -187.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -187.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 187.5, "y": 1200}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -300.0, "y": 1950}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -150.0, "y": 1950}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1950}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 187.5, "y": 2100}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 150.0, "y": 1950}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 300.0, "y": 1950}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 187.5, "y": 2250}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Storage energy for storage", "to": "Hourly storage energy footprint"}, {"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Average carbon intensity of storage electricity", "to": "Hourly storage energy footprint"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/calculus_graphs/storage_full_cumulative_storage_need.html b/calculus_graphs/storage_full_cumulative_storage_need.html
index fede19f9..d8e294ee 100644
--- a/calculus_graphs/storage_full_cumulative_storage_need.html
+++ b/calculus_graphs/storage_full_cumulative_storage_need.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d080c8 {
+             #mynetwork_f1f03b {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_d080c8" class="card-body"></div>
+            <div id="mynetwork_f1f03b" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d080c8');
+                  var container = document.getElementById('mynetwork_f1f03b');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_instances_energy.html b/calculus_graphs/storage_instances_energy.html
index 37cfa685..84fe2029 100644
--- a/calculus_graphs/storage_instances_energy.html
+++ b/calculus_graphs/storage_instances_energy.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_4e9f81 {
+             #mynetwork_d27988 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_4e9f81" class="card-body"></div>
+            <div id="mynetwork_d27988" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_4e9f81');
+                  var container = document.getElementById('mynetwork_d27988');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2100}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 1950}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1650}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -437.50000000000006, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -420.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -450.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -437.50000000000006, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -393.75, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -350.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -262.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 262.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": -131.25, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 350.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": -300.0, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": -393.75, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": -210.0, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": -210.0, "y": 1350}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -420.0, "y": 1800}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -210.0, "y": 1800}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1950}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 210.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -262.5, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -393.75, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -420.0, "y": 1350}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": -262.5, "y": 1200}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 420.0, "y": 1800}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2100}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -187.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -187.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -250.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -187.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 187.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 187.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 250.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 187.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 187.5, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 187.5, "y": 1350}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -187.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -187.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 187.5, "y": 1200}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -300.0, "y": 1950}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -150.0, "y": 1950}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1950}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 187.5, "y": 2100}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 150.0, "y": 1950}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 300.0, "y": 1950}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/calculus_graphs/storage_instances_fabrication_footprint.html b/calculus_graphs/storage_instances_fabrication_footprint.html
index af7da683..7efc7730 100644
--- a/calculus_graphs/storage_instances_fabrication_footprint.html
+++ b/calculus_graphs/storage_instances_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1889ed {
+             #mynetwork_0c1d91 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1889ed" class="card-body"></div>
+            <div id="mynetwork_0c1d91" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1889ed');
+                  var container = document.getElementById('mynetwork_0c1d91');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -150.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -150.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -150.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -200.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 150.0, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 150.0, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 200.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 150.0, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 150.0, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 150.0, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 150.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -150.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -150.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -150.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -200.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 150.0, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 150.0, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 200.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 150.0, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 150.0, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 150.0, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 150.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Carbon footprint fabrication of storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of storage", "to": "Hourly storage instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_nb_of_active_instances.html b/calculus_graphs/storage_nb_of_active_instances.html
index 8afd1c17..4b945cf7 100644
--- a/calculus_graphs/storage_nb_of_active_instances.html
+++ b/calculus_graphs/storage_nb_of_active_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_040787 {
+             #mynetwork_93764d {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_040787" class="card-body"></div>
+            <div id="mynetwork_93764d" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_040787');
+                  var container = document.getElementById('mynetwork_93764d');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -250.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -281.25, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -250.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -250.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -187.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 187.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": -150.0, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": -150.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 0.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 0.0, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": -250.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": -93.75, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 250.0, "y": 1200}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/calculus_graphs/storage_nb_of_instances.html b/calculus_graphs/storage_nb_of_instances.html
index 2b4074b7..eb21e99f 100644
--- a/calculus_graphs/storage_nb_of_instances.html
+++ b/calculus_graphs/storage_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_6da7d5 {
+             #mynetwork_035c6f {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_6da7d5" class="card-body"></div>
+            <div id="mynetwork_035c6f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_6da7d5');
+                  var container = document.getElementById('mynetwork_035c6f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}, {"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_raw_nb_of_instances.html b/calculus_graphs/storage_raw_nb_of_instances.html
index b86ea3d3..d861a9ca 100644
--- a/calculus_graphs/storage_raw_nb_of_instances.html
+++ b/calculus_graphs/storage_raw_nb_of_instances.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d1db64 {
+             #mynetwork_e146f2 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_d1db64" class="card-body"></div>
+            <div id="mynetwork_e146f2" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d1db64');
+                  var container = document.getElementById('mynetwork_e146f2');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_storage_delta.html b/calculus_graphs/storage_storage_delta.html
index d0ecb76c..1f8746a0 100644
--- a/calculus_graphs/storage_storage_delta.html
+++ b/calculus_graphs/storage_storage_delta.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_6198b9 {
+             #mynetwork_152eb4 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_6198b9" class="card-body"></div>
+            <div id="mynetwork_152eb4" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_6198b9');
+                  var container = document.getElementById('mynetwork_152eb4');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/storage_storage_dumps.html b/calculus_graphs/storage_storage_dumps.html
deleted file mode 100644
index e1275fd0..00000000
--- a/calculus_graphs/storage_storage_dumps.html
+++ /dev/null
@@ -1,155 +0,0 @@
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-    <head>
-        <meta charset="utf-8">
-        
-            <script src="lib/bindings/utils.js"></script>
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-            
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-<center>
-<h1></h1>
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-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
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-          crossorigin="anonymous"
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-          crossorigin="anonymous"
-        ></script>
-
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-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_faae1a {
-                 width: 1800px;
-                 height: 900px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-             
-
-             
-
-             
-        </style>
-    </head>
-
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-    <body>
-        <div class="card" style="width: 100%">
-            
-            
-            <div id="mynetwork_faae1a" class="card-body"></div>
-        </div>
-
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-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
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-
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-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_faae1a');
-
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-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-                  
-
-
-                  
-
-                  network = new vis.Network(container, data, options);
-
-                  
-
-                  
-
-                  
-
-
-                  
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
\ No newline at end of file
diff --git a/calculus_graphs/storage_storage_needed.html b/calculus_graphs/storage_storage_needed.html
deleted file mode 100644
index 130c8ba7..00000000
--- a/calculus_graphs/storage_storage_needed.html
+++ /dev/null
@@ -1,155 +0,0 @@
-<html>
-    <head>
-        <meta charset="utf-8">
-        
-            <script src="lib/bindings/utils.js"></script>
-            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-            
-        
-<center>
-<h1></h1>
-</center>
-
-<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
-        <link
-          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
-          rel="stylesheet"
-          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
-          crossorigin="anonymous"
-        />
-        <script
-          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
-          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
-          crossorigin="anonymous"
-        ></script>
-
-
-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_63d8e3 {
-                 width: 1800px;
-                 height: 900px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-             
-
-             
-
-             
-        </style>
-    </head>
-
-
-    <body>
-        <div class="card" style="width: 100%">
-            
-            
-            <div id="mynetwork_63d8e3" class="card-body"></div>
-        </div>
-
-        
-        
-
-        <script type="text/javascript">
-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
-              };
-
-              
-
-              
-
-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_63d8e3');
-
-                  
-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-                  
-
-
-                  
-
-                  network = new vis.Network(container, data, options);
-
-                  
-
-                  
-
-                  
-
-
-                  
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
\ No newline at end of file
diff --git a/calculus_graphs/streaming_hourly_avg_occurrences_across_usage_patterns.html b/calculus_graphs/streaming_hourly_avg_occurrences_across_usage_patterns.html
index 609a502a..8f39395a 100644
--- a/calculus_graphs/streaming_hourly_avg_occurrences_across_usage_patterns.html
+++ b/calculus_graphs/streaming_hourly_avg_occurrences_across_usage_patterns.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f78c41 {
+             #mynetwork_ea257a {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_f78c41" class="card-body"></div>
+            <div id="mynetwork_ea257a" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f78c41');
+                  var container = document.getElementById('mynetwork_ea257a');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_avg_occurrences_per_usage_pattern.html b/calculus_graphs/streaming_hourly_avg_occurrences_per_usage_pattern.html
index a502a742..bdc557c2 100644
--- a/calculus_graphs/streaming_hourly_avg_occurrences_per_usage_pattern.html
+++ b/calculus_graphs/streaming_hourly_avg_occurrences_per_usage_pattern.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_053d37 {
+             #mynetwork_9fa9c2 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_053d37" class="card-body"></div>
+            <div id="mynetwork_9fa9c2" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_053d37');
+                  var container = document.getElementById('mynetwork_9fa9c2');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_data_download_per_usage_pattern.html b/calculus_graphs/streaming_hourly_data_download_per_usage_pattern.html
index a663bb08..6fa3b79a 100644
--- a/calculus_graphs/streaming_hourly_data_download_per_usage_pattern.html
+++ b/calculus_graphs/streaming_hourly_data_download_per_usage_pattern.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7d52c3 {
+             #mynetwork_01b6d4 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_7d52c3" class="card-body"></div>
+            <div id="mynetwork_01b6d4" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7d52c3');
+                  var container = document.getElementById('mynetwork_01b6d4');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data download per hour for job streaming in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "Data download of request streaming", "to": "data download per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data download per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_data_stored_across_usage_patterns.html b/calculus_graphs/streaming_hourly_data_stored_across_usage_patterns.html
index 31af2385..41eef825 100644
--- a/calculus_graphs/streaming_hourly_data_stored_across_usage_patterns.html
+++ b/calculus_graphs/streaming_hourly_data_stored_across_usage_patterns.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_64336c {
+             #mynetwork_41d62e {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_64336c" class="card-body"></div>
+            <div id="mynetwork_41d62e" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_64336c');
+                  var container = document.getElementById('mynetwork_41d62e');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_data_stored_per_usage_pattern.html b/calculus_graphs/streaming_hourly_data_stored_per_usage_pattern.html
index fca3b986..0b823cdf 100644
--- a/calculus_graphs/streaming_hourly_data_stored_per_usage_pattern.html
+++ b/calculus_graphs/streaming_hourly_data_stored_per_usage_pattern.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_23ad9e {
+             #mynetwork_3918d7 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_23ad9e" class="card-body"></div>
+            <div id="mynetwork_3918d7" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_23ad9e');
+                  var container = document.getElementById('mynetwork_3918d7');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_data_upload_across_usage_patterns.html b/calculus_graphs/streaming_hourly_data_upload_across_usage_patterns.html
index eebefde6..dadcb405 100644
--- a/calculus_graphs/streaming_hourly_data_upload_across_usage_patterns.html
+++ b/calculus_graphs/streaming_hourly_data_upload_across_usage_patterns.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_b66e00 {
+             #mynetwork_57a32c {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_b66e00" class="card-body"></div>
+            <div id="mynetwork_57a32c" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_b66e00');
+                  var container = document.getElementById('mynetwork_57a32c');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}, {"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data upload per hour for job streaming in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "Data upload of request streaming", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data upload per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_data_upload_per_usage_pattern.html b/calculus_graphs/streaming_hourly_data_upload_per_usage_pattern.html
index a57dc9dc..12444f5a 100644
--- a/calculus_graphs/streaming_hourly_data_upload_per_usage_pattern.html
+++ b/calculus_graphs/streaming_hourly_data_upload_per_usage_pattern.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_677cf9 {
+             #mynetwork_73a26f {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_677cf9" class="card-body"></div>
+            <div id="mynetwork_73a26f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_677cf9');
+                  var container = document.getElementById('mynetwork_73a26f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 112.5, "y": 150}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "data upload per hour for job streaming in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "Data upload of request streaming", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data upload per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_occurrences_across_usage_patterns.html b/calculus_graphs/streaming_hourly_occurrences_across_usage_patterns.html
index 0df8e496..6ff78470 100644
--- a/calculus_graphs/streaming_hourly_occurrences_across_usage_patterns.html
+++ b/calculus_graphs/streaming_hourly_occurrences_across_usage_patterns.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7f00ed {
+             #mynetwork_493b06 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_7f00ed" class="card-body"></div>
+            <div id="mynetwork_493b06" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7f00ed');
+                  var container = document.getElementById('mynetwork_493b06');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly streaming occurrences across usage patterns"}, {"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/streaming_hourly_occurrences_per_usage_pattern.html b/calculus_graphs/streaming_hourly_occurrences_per_usage_pattern.html
index cd2ace2c..ad8fa300 100644
--- a/calculus_graphs/streaming_hourly_occurrences_per_usage_pattern.html
+++ b/calculus_graphs/streaming_hourly_occurrences_per_usage_pattern.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1595be {
+             #mynetwork_107641 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1595be" class="card-body"></div>
+            <div id="mynetwork_107641" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1595be');
+                  var container = document.getElementById('mynetwork_107641');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_devices_energy.html b/calculus_graphs/usage_pattern_devices_energy.html
index 9791a026..9ab2458c 100644
--- a/calculus_graphs/usage_pattern_devices_energy.html
+++ b/calculus_graphs/usage_pattern_devices_energy.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_8a94db {
+             #mynetwork_7b039f {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_8a94db" class="card-body"></div>
+            <div id="mynetwork_7b039f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_8a94db');
+                  var container = document.getElementById('mynetwork_7b039f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}, {"arrows": "to", "from": "Power of device on which the user journey is made", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "one full hour", "to": "Energy consumed by usage pattern devices"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_devices_energy_footprint.html b/calculus_graphs/usage_pattern_devices_energy_footprint.html
index 332e71ce..85e8af83 100644
--- a/calculus_graphs/usage_pattern_devices_energy_footprint.html
+++ b/calculus_graphs/usage_pattern_devices_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e8945f {
+             #mynetwork_91e574 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e8945f" class="card-body"></div>
+            <div id="mynetwork_91e574" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e8945f');
+                  var container = document.getElementById('mynetwork_91e574');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": -112.5, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": -112.5, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy consumed by usage pattern devices", "to": "Energy footprint of usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}, {"arrows": "to", "from": "Power of device on which the user journey is made", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "one full hour", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Energy footprint of usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_devices_fabrication_footprint.html b/calculus_graphs/usage_pattern_devices_fabrication_footprint.html
index 0ae948e6..3bb2cefb 100644
--- a/calculus_graphs/usage_pattern_devices_fabrication_footprint.html
+++ b/calculus_graphs/usage_pattern_devices_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e69e72 {
+             #mynetwork_6cb8e4 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e69e72" class="card-body"></div>
+            <div id="mynetwork_6cb8e4" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e69e72');
+                  var container = document.getElementById('mynetwork_6cb8e4');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -225.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -375.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": -225.0, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 300.0, "y": 150}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -225.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -375.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": -225.0, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 300.0, "y": 150}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}, {"arrows": "to", "from": "device on which the user journey is made fabrication footprint over one hour", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "Carbon footprint fabrication of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "one hour", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "Lifespan of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "device on which the user journey is made fraction of usage time", "to": "device on which the user journey is made fabrication footprint over one hour"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_energy_footprint.html b/calculus_graphs/usage_pattern_energy_footprint.html
index c971b6cc..65342340 100644
--- a/calculus_graphs/usage_pattern_energy_footprint.html
+++ b/calculus_graphs/usage_pattern_energy_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d51f93 {
+             #mynetwork_288062 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_d51f93" class="card-body"></div>
+            <div id="mynetwork_288062" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d51f93');
+                  var container = document.getElementById('mynetwork_288062');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": -112.5, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": -112.5, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -150.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy footprint of usage pattern", "to": "usage pattern total energy footprint"}, {"arrows": "to", "from": "Energy consumed by usage pattern devices", "to": "Energy footprint of usage pattern"}, {"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}, {"arrows": "to", "from": "Power of device on which the user journey is made", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "one full hour", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Energy footprint of usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_instances_fabrication_footprint.html b/calculus_graphs/usage_pattern_instances_fabrication_footprint.html
index 78db8e2c..24cdfc1d 100644
--- a/calculus_graphs/usage_pattern_instances_fabrication_footprint.html
+++ b/calculus_graphs/usage_pattern_instances_fabrication_footprint.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5044e2 {
+             #mynetwork_f2b041 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5044e2" class="card-body"></div>
+            <div id="mynetwork_f2b041" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5044e2');
+                  var container = document.getElementById('mynetwork_f2b041');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -225.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -375.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": -225.0, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 300.0, "y": 150}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -225.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -375.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -300.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": -225.0, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 300.0, "y": 150}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Devices fabrication footprint of usage pattern", "to": "usage pattern total fabrication footprint"}, {"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}, {"arrows": "to", "from": "device on which the user journey is made fabrication footprint over one hour", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "Carbon footprint fabrication of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "one hour", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "Lifespan of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "device on which the user journey is made fraction of usage time", "to": "device on which the user journey is made fabrication footprint over one hour"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_nb_user_journeys_in_parallel.html b/calculus_graphs/usage_pattern_nb_user_journeys_in_parallel.html
index 32cee7e5..a2e7db6c 100644
--- a/calculus_graphs/usage_pattern_nb_user_journeys_in_parallel.html
+++ b/calculus_graphs/usage_pattern_nb_user_journeys_in_parallel.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_cbf73d {
+             #mynetwork_8c3ee1 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_cbf73d" class="card-body"></div>
+            <div id="mynetwork_8c3ee1" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_cbf73d');
+                  var container = document.getElementById('mynetwork_8c3ee1');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -150.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 0.0, "y": 150}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}, {"color": null, "id": "Time spent on step 20 min streaming", "label": "Time spent on step\n20 min streaming", "shape": "dot", "size": 15, "title": "Time spent on step 20 min streaming = 20 minute", "x": 150.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Time spent on step 20 min streaming", "to": "Duration of user journey"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/usage_pattern_utc_hourly_user_journey_starts.html b/calculus_graphs/usage_pattern_utc_hourly_user_journey_starts.html
index 6e5a7e06..501a15e7 100644
--- a/calculus_graphs/usage_pattern_utc_hourly_user_journey_starts.html
+++ b/calculus_graphs/usage_pattern_utc_hourly_user_journey_starts.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_cba59c {
+             #mynetwork_159cd0 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_cba59c" class="card-body"></div>
+            <div id="mynetwork_159cd0" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_cba59c');
+                  var container = document.getElementById('mynetwork_159cd0');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs/user_journey_duration.html b/calculus_graphs/user_journey_duration.html
index b57d675d..9b1bba25 100644
--- a/calculus_graphs/user_journey_duration.html
+++ b/calculus_graphs/user_journey_duration.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_850a30 {
+             #mynetwork_893da0 {
                  width: 1800px;
                  height: 900px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_850a30" class="card-body"></div>
+            <div id="mynetwork_893da0" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_850a30');
+                  var container = document.getElementById('mynetwork_893da0');
 
                   
 
diff --git a/calculus_graphs_depth1/network_energy_footprint_depth1.html b/calculus_graphs_depth1/network_energy_footprint_depth1.html
index 86d51e8e..cfa922ee 100644
--- a/calculus_graphs_depth1/network_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/network_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5ab5c5 {
+             #mynetwork_f107bc {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5ab5c5" class="card-body"></div>
+            <div id="mynetwork_f107bc" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5ab5c5');
+                  var container = document.getElementById('mynetwork_f107bc');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.04, 0.2, 0.04, 0.28, 0.36, 0.16, 0.08, 0.24, 0.36, 0.12],\nlast 10 vals [0.12, 0.24, 0.28, 0.12, 0.08, 0.08, 0.24, 0.04, 0.16, 0.32]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly network energy footprint", "label": "Hourly network\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly network energy footprint\n=\nusage pattern network energy consumption * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "usage pattern network energy consumption", "label": "usage pattern\nnetwork energy\nconsumption", "shape": "dot", "size": 15, "title": "usage pattern network energy consumption\n=\n(Hourly data upload for streaming in usage pattern + Hourly data download for\nstreaming in usage pattern) * bandwith energy intensity of network\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35] + 26281\nvalues from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]) * 0.05 kilowatt_hour / gigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.32, 0.12, 0.32, 0.2, 0.2, 0.2, 0.04, 0.08, 0.28, 0.08],\nlast 10 vals [0.28, 0.2, 0.04, 0.32, 0.32, 0.08, 0.16, 0.2, 0.08, 0.28]", "x": -150.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -200.0, "y": 600}, {"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "bandwith energy intensity of network", "label": "bandwith energy\nintensity of network", "shape": "dot", "size": 15, "title": "bandwith energy intensity of network = 0.05 kilowatt_hour / gigabyte", "x": 200.0, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 150.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern network energy consumption", "to": "Hourly network energy footprint"}, {"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Hourly data download for streaming in usage pattern", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "bandwith energy intensity of network", "to": "usage pattern network energy consumption"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Hourly network energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_available_cpu_per_instance_depth1.html b/calculus_graphs_depth1/on_premise_server_available_cpu_per_instance_depth1.html
index 9171804e..56b00ec0 100644
--- a/calculus_graphs_depth1/on_premise_server_available_cpu_per_instance_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_available_cpu_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_c28d43 {
+             #mynetwork_1c3816 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_c28d43" class="card-body"></div>
+            <div id="mynetwork_1c3816" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_c28d43');
+                  var container = document.getElementById('mynetwork_1c3816');
 
                   
 
diff --git a/calculus_graphs_depth1/on_premise_server_available_ram_per_instance_depth1.html b/calculus_graphs_depth1/on_premise_server_available_ram_per_instance_depth1.html
index a57ca048..8efdc10b 100644
--- a/calculus_graphs_depth1/on_premise_server_available_ram_per_instance_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_available_ram_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_aed942 {
+             #mynetwork_0ab7c7 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_aed942" class="card-body"></div>
+            <div id="mynetwork_0ab7c7" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_aed942');
+                  var container = document.getElementById('mynetwork_0ab7c7');
 
                   
 
diff --git a/calculus_graphs_depth1/on_premise_server_energy_footprint_depth1.html b/calculus_graphs_depth1/on_premise_server_energy_footprint_depth1.html
index 1bfbfb83..184fa043 100644
--- a/calculus_graphs_depth1/on_premise_server_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9d4f64 {
+             #mynetwork_5ed855 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_9d4f64" class="card-body"></div>
+            <div id="mynetwork_5ed855" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9d4f64');
+                  var container = document.getElementById('mynetwork_5ed855');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server energy footprint", "label": "Hourly on premise\nserver energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server energy footprint\n=\nHourly energy consumed by on premise server instances * Average carbon intensity\nof on premise server electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01] * 100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],\nlast 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of on premise server electricity", "label": "Average carbon\nintensity of on\npremise server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of on premise server electricity = 100.0 gram /\nkilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by on premise server instances", "to": "Hourly on premise server energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of on premise server electricity", "to": "Hourly on premise server energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_hour_by_hour_cpu_need_depth1.html b/calculus_graphs_depth1/on_premise_server_hour_by_hour_cpu_need_depth1.html
index d51ac907..a62f7f99 100644
--- a/calculus_graphs_depth1/on_premise_server_hour_by_hour_cpu_need_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_hour_by_hour_cpu_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e044af {
+             #mynetwork_0786d0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e044af" class="card-body"></div>
+            <div id="mynetwork_0786d0" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e044af');
+                  var container = document.getElementById('mynetwork_0786d0');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "on premise server hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_hour_by_hour_ram_need_depth1.html b/calculus_graphs_depth1/on_premise_server_hour_by_hour_ram_need_depth1.html
index cc2bfd46..7690ac4f 100644
--- a/calculus_graphs_depth1/on_premise_server_hour_by_hour_ram_need_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_hour_by_hour_ram_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_fe13cd {
+             #mynetwork_85930a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_fe13cd" class="card-body"></div>
+            <div id="mynetwork_85930a" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_fe13cd');
+                  var container = document.getElementById('mynetwork_85930a');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "on premise server hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "on premise server hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_instances_energy_depth1.html b/calculus_graphs_depth1/on_premise_server_instances_energy_depth1.html
index bff5e207..dbf1ec15 100644
--- a/calculus_graphs_depth1/on_premise_server_instances_energy_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_instances_energy_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e4d60c {
+             #mynetwork_527348 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e4d60c" class="card-body"></div>
+            <div id="mynetwork_527348" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e4d60c');
+                  var container = document.getElementById('mynetwork_527348');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.01, 240.0],\nlast 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0,\n240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -675.0, "y": 1200}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by on premise server instances", "label": "Hourly energy\nconsumed by on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by on premise server instances\n=\nFixed number of on premise server instances * Idle power of on premise server *\nPUE of on premise server * one hour + Hourly raw number of on premise server\ninstances * (Power of on premise server - Idle power of on premise server) * PUE\nof on premise server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0,\n240.01, 240.0],\nlast 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01,\n240.0, 240.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of on premise server", "label": "Idle power of on\npremise server", "shape": "dot", "size": 15, "title": "Idle power of on premise server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of on premise server", "label": "PUE of on premise\nserver", "shape": "dot", "size": 15, "title": "PUE of on premise server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -675.0, "y": 1200}, {"color": null, "id": "Power of on premise server", "label": "Power of on premise\nserver", "shape": "dot", "size": 15, "title": "Power of on premise server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "Idle power of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "PUE of on premise server", "to": "Hourly energy consumed by on premise server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by on premise server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_instances_fabrication_footprint_depth1.html b/calculus_graphs_depth1/on_premise_server_instances_fabrication_footprint_depth1.html
index 1ccfbbdf..4895cadc 100644
--- a/calculus_graphs_depth1/on_premise_server_instances_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_instances_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_853def {
+             #mynetwork_1c66c8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_853def" class="card-body"></div>
+            <div id="mynetwork_1c66c8" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_853def');
+                  var container = document.getElementById('mynetwork_1c66c8');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly on premise server instances fabrication footprint", "label": "Hourly on premise\nserver instances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly on premise server instances fabrication footprint\n=\nFixed number of on premise server instances * Carbon footprint fabrication of on\npremise server * one hour / Lifespan of on premise server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63],\nlast 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63,\n45.63]", "x": 0.0, "y": 1500}, {"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of on premise server", "label": "Carbon footprint\nfabrication of on\npremise server", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of on premise server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of on premise server", "label": "Lifespan of on\npremise server", "shape": "dot", "size": 15, "title": "Lifespan of on premise server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Fixed number of on premise server instances", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of on premise server", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly on premise server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of on premise server", "to": "Hourly on premise server instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_nb_of_instances_depth1.html b/calculus_graphs_depth1/on_premise_server_nb_of_instances_depth1.html
index abbf8bd4..1d0dfe00 100644
--- a/calculus_graphs_depth1/on_premise_server_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e4326f {
+             #mynetwork_ff844c {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e4326f" class="card-body"></div>
+            <div id="mynetwork_ff844c" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e4326f');
+                  var container = document.getElementById('mynetwork_ff844c');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -300.0, "y": 1200}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Fixed number of on premise server instances", "label": "Fixed number of on\npremise server\ninstances", "shape": "dot", "size": 15, "title": "Fixed number of on premise server instances\n=\nHourly raw number of on premise server instances\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],\nlast 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -300.0, "y": 1200}, {"color": null, "id": "User defined number of on premise server instances", "label": "User defined number\nof on premise server\ninstances", "shape": "dot", "size": 15, "title": "User defined number of on premise server instances = 4000 dimensionless", "x": 300.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of on premise server instances", "to": "Fixed number of on premise server instances"}, {"arrows": "to", "from": "User defined number of on premise server instances", "to": "Fixed number of on premise server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/on_premise_server_raw_nb_of_instances_depth1.html b/calculus_graphs_depth1/on_premise_server_raw_nb_of_instances_depth1.html
index 07af86b4..33dba69f 100644
--- a/calculus_graphs_depth1/on_premise_server_raw_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/on_premise_server_raw_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_32352b {
+             #mynetwork_2a3de6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_32352b" class="card-body"></div>
+            <div id="mynetwork_2a3de6" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_32352b');
+                  var container = document.getElementById('mynetwork_2a3de6');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of on premise server instances", "label": "Hourly raw number of\non premise server\ninstances", "shape": "dot", "size": 15, "title": "Hourly raw number of on premise server instances\n=\nRaw nb of on premise server instances based on RAM alone max compared with Raw\nnb of on premise server instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of on premise server instances based on RAM alone", "label": "Raw nb of on premise\nserver instances\nbased on RAM alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on RAM alone\n=\non premise server hour by hour ram need / Available RAM per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour ram need", "label": "on premise server\nhour by hour ram\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per on premise server instance", "label": "Available RAM per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available RAM per on premise server instance\n=\nRAM of on premise server * on premise server utilization rate - Base RAM\nconsumption of on premise server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of on premise server instances based on CPU alone", "label": "Raw nb of on premise\nserver instances\nbased on CPU alone", "shape": "dot", "size": 15, "title": "Raw nb of on premise server instances based on CPU alone\n=\non premise server hour by hour cpu need / Available CPU per on premise server\ninstance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "on premise server hour by hour cpu need", "label": "on premise server\nhour by hour cpu\nneed", "shape": "dot", "size": 15, "title": "on premise server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per on premise server instance", "label": "Available CPU per on\npremise server\ninstance", "shape": "dot", "size": 15, "title": "Available CPU per on premise server instance\n=\nNb cpus cores of on premise server * on premise server utilization rate - Base\nCPU consumption of on premise server\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of on premise server instances based on RAM alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour ram need", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per on premise server instance", "to": "Raw nb of on premise server instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of on premise server instances based on CPU alone", "to": "Hourly raw number of on premise server instances"}, {"arrows": "to", "from": "on premise server hour by hour cpu need", "to": "Raw nb of on premise server instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per on premise server instance", "to": "Raw nb of on premise server instances based on CPU alone"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_available_cpu_per_instance_depth1.html b/calculus_graphs_depth1/server_available_cpu_per_instance_depth1.html
index a7136c06..cd39b0b7 100644
--- a/calculus_graphs_depth1/server_available_cpu_per_instance_depth1.html
+++ b/calculus_graphs_depth1/server_available_cpu_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_80ed3a {
+             #mynetwork_2ab64d {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_80ed3a" class="card-body"></div>
+            <div id="mynetwork_2ab64d" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_80ed3a');
+                  var container = document.getElementById('mynetwork_2ab64d');
 
                   
 
diff --git a/calculus_graphs_depth1/server_available_ram_per_instance_depth1.html b/calculus_graphs_depth1/server_available_ram_per_instance_depth1.html
index b561d4fc..cdd82799 100644
--- a/calculus_graphs_depth1/server_available_ram_per_instance_depth1.html
+++ b/calculus_graphs_depth1/server_available_ram_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_9c57c9 {
+             #mynetwork_c31b91 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_9c57c9" class="card-body"></div>
+            <div id="mynetwork_c31b91" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_9c57c9');
+                  var container = document.getElementById('mynetwork_c31b91');
 
                   
 
diff --git a/calculus_graphs_depth1/server_energy_footprint_depth1.html b/calculus_graphs_depth1/server_energy_footprint_depth1.html
index 8439df77..da2d6768 100644
--- a/calculus_graphs_depth1/server_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/server_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5968a2 {
+             #mynetwork_4c66f2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5968a2" class="card-body"></div>
+            <div id="mynetwork_4c66f2" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5968a2');
+                  var container = document.getElementById('mynetwork_4c66f2');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server energy footprint", "label": "Hourly server energy\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server energy footprint\n=\nHourly energy consumed by server instances * Average carbon intensity of server\nelectricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07] *\n100.0 gram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of server electricity", "label": "Average carbon\nintensity of server\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of server electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by server instances", "to": "Hourly server energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of server electricity", "to": "Hourly server energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_hour_by_hour_cpu_need_depth1.html b/calculus_graphs_depth1/server_hour_by_hour_cpu_need_depth1.html
index a133117a..4a058f3d 100644
--- a/calculus_graphs_depth1/server_hour_by_hour_cpu_need_depth1.html
+++ b/calculus_graphs_depth1/server_hour_by_hour_cpu_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e8c786 {
+             #mynetwork_de6726 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e8c786" class="card-body"></div>
+            <div id="mynetwork_de6726" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e8c786');
+                  var container = document.getElementById('mynetwork_de6726');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "server hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_hour_by_hour_ram_need_depth1.html b/calculus_graphs_depth1/server_hour_by_hour_ram_need_depth1.html
index 1392ce79..10288be4 100644
--- a/calculus_graphs_depth1/server_hour_by_hour_ram_need_depth1.html
+++ b/calculus_graphs_depth1/server_hour_by_hour_ram_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1d4f94 {
+             #mynetwork_cbf7b5 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1d4f94" class="card-body"></div>
+            <div id="mynetwork_cbf7b5" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1d4f94');
+                  var container = document.getElementById('mynetwork_cbf7b5');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "server hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "server hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_instances_energy_depth1.html b/calculus_graphs_depth1/server_instances_energy_depth1.html
index bdf63c02..85a4cca8 100644
--- a/calculus_graphs_depth1/server_instances_energy_depth1.html
+++ b/calculus_graphs_depth1/server_instances_energy_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1d7b25 {
+             #mynetwork_893724 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1d7b25" class="card-body"></div>
+            <div id="mynetwork_893724" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1d7b25');
+                  var container = document.getElementById('mynetwork_893724');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],\nlast 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by server instances", "label": "Hourly energy\nconsumed by server\ninstances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by server instances\n=\nHourly number of server instances * Idle power of server * PUE of server * one\nhour + Hourly raw number of server instances * (Power of server - Idle power of\nserver) * PUE of server * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 50 watt * 1.2\ndimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to 2027-12-31\n22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],\nlast 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of server", "label": "Idle power of server", "shape": "dot", "size": 15, "title": "Idle power of server = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of server", "label": "PUE of server", "shape": "dot", "size": 15, "title": "PUE of server = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of server", "label": "Power of server", "shape": "dot", "size": 15, "title": "Power of server = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "Idle power of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "PUE of server", "to": "Hourly energy consumed by server instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_instances_fabrication_footprint_depth1.html b/calculus_graphs_depth1/server_instances_fabrication_footprint_depth1.html
index 1ca8ab6b..7de49977 100644
--- a/calculus_graphs_depth1/server_instances_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/server_instances_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7bc658 {
+             #mynetwork_096871 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_7bc658" class="card-body"></div>
+            <div id="mynetwork_096871" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7bc658');
+                  var container = document.getElementById('mynetwork_096871');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly server instances fabrication footprint", "label": "Hourly server\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly server instances fabrication footprint\n=\nHourly number of server instances * Carbon footprint fabrication of server * one\nhour / Lifespan of server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 600 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of server", "label": "Carbon footprint\nfabrication of\nserver", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of server = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of server", "label": "Lifespan of server", "shape": "dot", "size": 15, "title": "Lifespan of server = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of server instances", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of server", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly server instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of server", "to": "Hourly server instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_nb_of_instances_depth1.html b/calculus_graphs_depth1/server_nb_of_instances_depth1.html
index 102a63f6..d27a1e3b 100644
--- a/calculus_graphs_depth1/server_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/server_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_09accf {
+             #mynetwork_2a7208 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_09accf" class="card-body"></div>
+            <div id="mynetwork_2a7208" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_09accf');
+                  var container = document.getElementById('mynetwork_2a7208');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of server instances", "label": "Hourly number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly number of server instances\n=\nceil of (Hourly raw number of server instances)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of server instances", "to": "Hourly number of server instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/server_raw_nb_of_instances_depth1.html b/calculus_graphs_depth1/server_raw_nb_of_instances_depth1.html
index 166cd336..80fdf4f4 100644
--- a/calculus_graphs_depth1/server_raw_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/server_raw_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_e2e496 {
+             #mynetwork_72e1e0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_e2e496" class="card-body"></div>
+            <div id="mynetwork_72e1e0" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_e2e496');
+                  var container = document.getElementById('mynetwork_72e1e0');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of server instances", "label": "Hourly raw number of\nserver instances", "shape": "dot", "size": 15, "title": "Hourly raw number of server instances\n=\nRaw nb of server instances based on RAM alone max compared with Raw nb of server\ninstances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of server instances based on RAM alone", "label": "Raw nb of server\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on RAM alone\n=\nserver hour by hour ram need / Available RAM per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "server hour by hour ram need", "label": "server hour by hour\nram need", "shape": "dot", "size": 15, "title": "server hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per server instance", "label": "Available RAM per\nserver instance", "shape": "dot", "size": 15, "title": "Available RAM per server instance\n=\nRAM of server * server utilization rate - Base RAM consumption of server\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of server instances based on CPU alone", "label": "Raw nb of server\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of server instances based on CPU alone\n=\nserver hour by hour cpu need / Available CPU per server instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "server hour by hour cpu need", "label": "server hour by hour\ncpu need", "shape": "dot", "size": 15, "title": "server hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per server instance", "label": "Available CPU per\nserver instance", "shape": "dot", "size": 15, "title": "Available CPU per server instance\n=\nNb cpus cores of server * server utilization rate - Base CPU consumption of\nserver\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of server instances based on RAM alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour ram need", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per server instance", "to": "Raw nb of server instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of server instances based on CPU alone", "to": "Hourly raw number of server instances"}, {"arrows": "to", "from": "server hour by hour cpu need", "to": "Raw nb of server instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per server instance", "to": "Raw nb of server instances based on CPU alone"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_available_cpu_per_instance_depth1.html b/calculus_graphs_depth1/serverless_available_cpu_per_instance_depth1.html
index fa37a7e8..b1d8b717 100644
--- a/calculus_graphs_depth1/serverless_available_cpu_per_instance_depth1.html
+++ b/calculus_graphs_depth1/serverless_available_cpu_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5f7dfa {
+             #mynetwork_0e3b00 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5f7dfa" class="card-body"></div>
+            <div id="mynetwork_0e3b00" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5f7dfa');
+                  var container = document.getElementById('mynetwork_0e3b00');
 
                   
 
diff --git a/calculus_graphs_depth1/serverless_available_ram_per_instance_depth1.html b/calculus_graphs_depth1/serverless_available_ram_per_instance_depth1.html
index fbf87f4e..5dd6d6f9 100644
--- a/calculus_graphs_depth1/serverless_available_ram_per_instance_depth1.html
+++ b/calculus_graphs_depth1/serverless_available_ram_per_instance_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_578ff7 {
+             #mynetwork_908ddf {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_578ff7" class="card-body"></div>
+            <div id="mynetwork_908ddf" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_578ff7');
+                  var container = document.getElementById('mynetwork_908ddf');
 
                   
 
diff --git a/calculus_graphs_depth1/serverless_energy_footprint_depth1.html b/calculus_graphs_depth1/serverless_energy_footprint_depth1.html
index 571f3224..010d9674 100644
--- a/calculus_graphs_depth1/serverless_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/serverless_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_1be935 {
+             #mynetwork_a38e33 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_1be935" class="card-body"></div>
+            <div id="mynetwork_a38e33" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_1be935');
+                  var container = document.getElementById('mynetwork_a38e33');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01] * 100.0 gram\n/ kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless energy footprint", "label": "Hourly serverless\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly serverless energy footprint\n=\nHourly energy consumed by serverless instances * Average carbon intensity of\nserverless electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01] * 100.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": -450.0, "y": 1500}, {"color": null, "id": "Average carbon intensity of serverless electricity", "label": "Average carbon\nintensity of\nserverless\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of serverless electricity = 100.0 gram / kilowatt_hour", "x": 450.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly energy consumed by serverless instances", "to": "Hourly serverless energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of serverless electricity", "to": "Hourly serverless energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_hour_by_hour_cpu_need_depth1.html b/calculus_graphs_depth1/serverless_hour_by_hour_cpu_need_depth1.html
index 442a876f..d4f03d16 100644
--- a/calculus_graphs_depth1/serverless_hour_by_hour_cpu_need_depth1.html
+++ b/calculus_graphs_depth1/serverless_hour_by_hour_cpu_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_18452b {
+             #mynetwork_c411f7 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_18452b" class="card-body"></div>
+            <div id="mynetwork_c411f7" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_18452b');
+                  var container = document.getElementById('mynetwork_c411f7');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "CPU needed on server server to process streaming", "label": "CPU needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "CPU needed on server server to process streaming = 1 core", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour cpu need"}, {"arrows": "to", "from": "CPU needed on server server to process streaming", "to": "serverless hour by hour cpu need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_hour_by_hour_ram_need_depth1.html b/calculus_graphs_depth1/serverless_hour_by_hour_ram_need_depth1.html
index 747fe939..ccf5a4c8 100644
--- a/calculus_graphs_depth1/serverless_hour_by_hour_ram_need_depth1.html
+++ b/calculus_graphs_depth1/serverless_hour_by_hour_ram_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_bf68f9 {
+             #mynetwork_539ee4 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_bf68f9" class="card-body"></div>
+            <div id="mynetwork_539ee4" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_bf68f9');
+                  var container = document.getElementById('mynetwork_539ee4');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": -75.0, "y": 750}, {"color": null, "id": "RAM needed on server server to process streaming", "label": "RAM needed on server\nserver to process\nstreaming", "shape": "dot", "size": 15, "title": "RAM needed on server server to process streaming = 50 megabyte", "x": 75.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming average occurrences across usage patterns", "to": "serverless hour by hour ram need"}, {"arrows": "to", "from": "RAM needed on server server to process streaming", "to": "serverless hour by hour ram need"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_instances_energy_depth1.html b/calculus_graphs_depth1/serverless_instances_energy_depth1.html
index b11fcef5..f378b18a 100644
--- a/calculus_graphs_depth1/serverless_instances_energy_depth1.html
+++ b/calculus_graphs_depth1/serverless_instances_energy_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_ebd37c {
+             #mynetwork_9104dd {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_ebd37c" class="card-body"></div>
+            <div id="mynetwork_9104dd" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_ebd37c');
+                  var container = document.getElementById('mynetwork_9104dd');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly energy consumed by serverless instances", "label": "Hourly energy\nconsumed by\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly energy consumed by serverless instances\n=\nHourly number of serverless instances * Idle power of serverless * PUE of\nserverless * one hour + Hourly raw number of serverless instances * (Power of\nserverless - Idle power of serverless) * PUE of serverless * one hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 50\nwatt * 1.2 dimensionless * 1 hour + 26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * (300\nwatt - 50 watt) * 1.2 dimensionless * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -750.0, "y": 1350}, {"color": null, "id": "Idle power of serverless", "label": "Idle power of\nserverless", "shape": "dot", "size": 15, "title": "Idle power of serverless = 50 watt", "x": -450.0, "y": 1350}, {"color": null, "id": "PUE of serverless", "label": "PUE of serverless", "shape": "dot", "size": 15, "title": "PUE of serverless = 1.2 dimensionless", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -600.0, "y": 1200}, {"color": null, "id": "Power of serverless", "label": "Power of serverless", "shape": "dot", "size": 15, "title": "Power of serverless = 300 watt", "x": 750.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "Idle power of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "PUE of serverless", "to": "Hourly energy consumed by serverless instances"}, {"arrows": "to", "from": "one hour", "to": "Hourly energy consumed by serverless instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_instances_fabrication_footprint_depth1.html b/calculus_graphs_depth1/serverless_instances_fabrication_footprint_depth1.html
index 5a4276b7..834924ae 100644
--- a/calculus_graphs_depth1/serverless_instances_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/serverless_instances_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_97b0b2 {
+             #mynetwork_ee40e0 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_97b0b2" class="card-body"></div>
+            <div id="mynetwork_ee40e0" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_97b0b2');
+                  var container = document.getElementById('mynetwork_ee40e0');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly serverless instances fabrication footprint", "label": "Hourly serverless\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly serverless instances fabrication footprint\n=\nHourly number of serverless instances * Carbon footprint fabrication of\nserverless * one hour / Lifespan of serverless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] * 600\nkilogram * 1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1500}, {"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 1350}, {"color": null, "id": "Carbon footprint fabrication of serverless", "label": "Carbon footprint\nfabrication of\nserverless", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of serverless = 600 kilogram", "x": -150.0, "y": 1350}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 150.0, "y": 1350}, {"color": null, "id": "Lifespan of serverless", "label": "Lifespan of\nserverless", "shape": "dot", "size": 15, "title": "Lifespan of serverless = 6 year", "x": 450.0, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of serverless instances", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of serverless", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly serverless instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of serverless", "to": "Hourly serverless instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_nb_of_instances_depth1.html b/calculus_graphs_depth1/serverless_nb_of_instances_depth1.html
index 78a9130d..876f81b8 100644
--- a/calculus_graphs_depth1/serverless_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/serverless_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_203b5e {
+             #mynetwork_2c490f {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_203b5e" class="card-body"></div>
+            <div id="mynetwork_2c490f" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_203b5e');
+                  var container = document.getElementById('mynetwork_2c490f');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of serverless instances", "label": "Hourly number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly number of serverless instances\n=\nduplicate of (Hourly raw number of serverless instances)\n=\nduplicate of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of serverless instances", "to": "Hourly number of serverless instances"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/serverless_raw_nb_of_instances_depth1.html b/calculus_graphs_depth1/serverless_raw_nb_of_instances_depth1.html
index 0b55f11a..aecc3b6e 100644
--- a/calculus_graphs_depth1/serverless_raw_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/serverless_raw_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_eaf6ee {
+             #mynetwork_1ff6c6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_eaf6ee" class="card-body"></div>
+            <div id="mynetwork_1ff6c6" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_eaf6ee');
+                  var container = document.getElementById('mynetwork_1ff6c6');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53] * 1 core\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of serverless instances", "label": "Hourly raw number of\nserverless instances", "shape": "dot", "size": 15, "title": "Hourly raw number of serverless instances\n=\nRaw nb of serverless instances based on RAM alone max compared with Raw nb of\nserverless instances based on CPU alone\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] max compared\nwith 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 1200}, {"color": null, "id": "Raw nb of serverless instances based on RAM alone", "label": "Raw nb of serverless\ninstances based on\nRAM alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on RAM alone\n=\nserverless hour by hour ram need / Available RAM per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02] / 114.9\ngigabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour ram need", "label": "serverless hour by\nhour ram need", "shape": "dot", "size": 15, "title": "serverless hour by hour ram need\n=\nHourly streaming average occurrences across usage patterns * RAM needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 50\nmegabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": -450.0, "y": 900}, {"color": null, "id": "Available RAM per serverless instance", "label": "Available RAM per\nserverless instance", "shape": "dot", "size": 15, "title": "Available RAM per serverless instance\n=\nRAM of serverless * serverless utilization rate - Base RAM consumption of\nserverless\n=\n128 gigabyte * 0.9 dimensionless - 300 megabyte\n=\n114.9 gigabyte", "x": -150.0, "y": 900}, {"color": null, "id": "Raw nb of serverless instances based on CPU alone", "label": "Raw nb of serverless\ninstances based on\nCPU alone", "shape": "dot", "size": 15, "title": "Raw nb of serverless instances based on CPU alone\n=\nserverless hour by hour cpu need / Available CPU per serverless instance\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] / 19.6\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 300.0, "y": 1050}, {"color": null, "id": "serverless hour by hour cpu need", "label": "serverless hour by\nhour cpu need", "shape": "dot", "size": 15, "title": "serverless hour by hour cpu need\n=\nHourly streaming average occurrences across usage patterns * CPU needed on\nserver server to process streaming\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47] * 1\ncore\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 150.0, "y": 900}, {"color": null, "id": "Available CPU per serverless instance", "label": "Available CPU per\nserverless instance", "shape": "dot", "size": 15, "title": "Available CPU per serverless instance\n=\nNb cpus cores of serverless * serverless utilization rate - Base CPU consumption\nof serverless\n=\n24 core * 0.9 dimensionless - 2 core\n=\n19.6 core", "x": 450.0, "y": 900}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Raw nb of serverless instances based on RAM alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour ram need", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Available RAM per serverless instance", "to": "Raw nb of serverless instances based on RAM alone"}, {"arrows": "to", "from": "Raw nb of serverless instances based on CPU alone", "to": "Hourly raw number of serverless instances"}, {"arrows": "to", "from": "serverless hour by hour cpu need", "to": "Raw nb of serverless instances based on CPU alone"}, {"arrows": "to", "from": "Available CPU per serverless instance", "to": "Raw nb of serverless instances based on CPU alone"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_energy_footprint_depth1.html b/calculus_graphs_depth1/storage_energy_footprint_depth1.html
index 4166cf87..3c85506c 100644
--- a/calculus_graphs_depth1/storage_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/storage_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_592422 {
+             #mynetwork_922c6c {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_592422" class="card-body"></div>
+            <div id="mynetwork_922c6c" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_592422');
+                  var container = document.getElementById('mynetwork_922c6c');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 2100}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 262.5, "y": 2100}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage energy footprint", "label": "Hourly storage\nenergy footprint", "shape": "dot", "size": 15, "title": "Hourly storage energy footprint\n=\nStorage energy for storage * Average carbon intensity of storage electricity\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 100.0 gram /\nkilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2400}, {"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2250}, {"color": null, "id": "Average carbon intensity of storage electricity", "label": "Average carbon\nintensity of storage\nelectricity", "shape": "dot", "size": 15, "title": "Average carbon intensity of storage electricity = 100.0 gram / kilowatt_hour", "x": 187.5, "y": 2250}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Storage energy for storage", "to": "Hourly storage energy footprint"}, {"arrows": "to", "from": "Average carbon intensity of storage electricity", "to": "Hourly storage energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_full_cumulative_storage_need_depth1.html b/calculus_graphs_depth1/storage_full_cumulative_storage_need_depth1.html
index 9d99b416..41222f16 100644
--- a/calculus_graphs_depth1/storage_full_cumulative_storage_need_depth1.html
+++ b/calculus_graphs_depth1/storage_full_cumulative_storage_need_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0b699a {
+             #mynetwork_33bb63 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_0b699a" class="card-body"></div>
+            <div id="mynetwork_33bb63" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0b699a');
+                  var container = document.getElementById('mynetwork_33bb63');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": -112.5, "y": 1200}, {"color": null, "id": "storage initial storage need", "label": "storage initial\nstorage need", "shape": "dot", "size": 15, "title": "storage initial storage need = 0 terabyte", "x": 112.5, "y": 1200}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Full cumulative storage need for storage"}, {"arrows": "to", "from": "storage initial storage need", "to": "Full cumulative storage need for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_instances_energy_depth1.html b/calculus_graphs_depth1/storage_instances_energy_depth1.html
index cf064eff..ebdde8d6 100644
--- a/calculus_graphs_depth1/storage_instances_energy_depth1.html
+++ b/calculus_graphs_depth1/storage_instances_energy_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_0fb732 {
+             #mynetwork_a288da {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_0fb732" class="card-body"></div>
+            <div id="mynetwork_a288da" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_0fb732');
+                  var container = document.getElementById('mynetwork_a288da');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2100}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -262.5, "y": 1950}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1650}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -420.0, "y": 1800}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -210.0, "y": 1800}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 262.5, "y": 1950}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 210.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -262.5, "y": 1650}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 420.0, "y": 1800}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Storage energy for storage", "label": "Storage energy for\nstorage", "shape": "dot", "size": 15, "title": "Storage energy for storage\n=\nHourly active instances energy for storage + Hourly idle instances energy for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 2250}, {"color": null, "id": "Hourly active instances energy for storage", "label": "Hourly active\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly active instances energy for storage\n=\nHourly number of active instances for storage * Power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] * 1.3 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -187.5, "y": 2100}, {"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Power of storage", "label": "Power of storage", "shape": "dot", "size": 15, "title": "Power of storage = 1.3 watt", "x": -300.0, "y": 1950}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": -150.0, "y": 1950}, {"color": null, "id": "PUE of storage", "label": "PUE of storage", "shape": "dot", "size": 15, "title": "PUE of storage = 1.2 dimensionless", "x": 0.0, "y": 1950}, {"color": null, "id": "Hourly idle instances energy for storage", "label": "Hourly idle\ninstances energy for\nstorage", "shape": "dot", "size": 15, "title": "Hourly idle instances energy for storage\n=\nHourly number of idle instances for storage * Idle power of storage * one hour *\nPUE of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 0 watt * 1\nhour * 1.2 dimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 187.5, "y": 2100}, {"color": null, "id": "Hourly number of idle instances for storage", "label": "Hourly number of\nidle instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of idle instances for storage\n=\nHourly number of instances for storage - Hourly number of active instances for\nstorage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] - 26281 values\nfrom 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 150.0, "y": 1950}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Idle power of storage", "label": "Idle power of\nstorage", "shape": "dot", "size": 15, "title": "Idle power of storage = 0 watt", "x": 300.0, "y": 1950}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly active instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Power of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly active instances energy for storage"}, {"arrows": "to", "from": "Hourly idle instances energy for storage", "to": "Storage energy for storage"}, {"arrows": "to", "from": "Hourly number of idle instances for storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Hourly number of active instances for storage", "to": "Hourly number of idle instances for storage"}, {"arrows": "to", "from": "Idle power of storage", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "one hour", "to": "Hourly idle instances energy for storage"}, {"arrows": "to", "from": "PUE of storage", "to": "Hourly idle instances energy for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_instances_fabrication_footprint_depth1.html b/calculus_graphs_depth1/storage_instances_fabrication_footprint_depth1.html
index 367cc4e0..4b1675c0 100644
--- a/calculus_graphs_depth1/storage_instances_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/storage_instances_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_15428d {
+             #mynetwork_ca563d {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_15428d" class="card-body"></div>
+            <div id="mynetwork_ca563d" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_15428d');
+                  var container = document.getElementById('mynetwork_ca563d');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage instances fabrication footprint", "label": "Hourly storage\ninstances\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "Hourly storage instances fabrication footprint\n=\nHourly number of instances for storage * Carbon footprint fabrication of storage\n* one hour / Lifespan of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] * 160 kilogram *\n1 hour / 6 year\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": -225.0, "y": 1650}, {"color": null, "id": "Carbon footprint fabrication of storage", "label": "Carbon footprint\nfabrication of\nstorage", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of storage = 160 kilogram", "x": -75.0, "y": 1650}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 1650}, {"color": null, "id": "Lifespan of storage", "label": "Lifespan of storage", "shape": "dot", "size": 15, "title": "Lifespan of storage = 6 year", "x": 225.0, "y": 1650}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Carbon footprint fabrication of storage", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "one hour", "to": "Hourly storage instances fabrication footprint"}, {"arrows": "to", "from": "Lifespan of storage", "to": "Hourly storage instances fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_nb_of_active_instances_depth1.html b/calculus_graphs_depth1/storage_nb_of_active_instances_depth1.html
index a8b46a3e..ff0e86e0 100644
--- a/calculus_graphs_depth1/storage_nb_of_active_instances_depth1.html
+++ b/calculus_graphs_depth1/storage_nb_of_active_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_6214b6 {
+             #mynetwork_507480 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_6214b6" class="card-body"></div>
+            <div id="mynetwork_507480" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_6214b6');
+                  var container = document.getElementById('mynetwork_507480');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage delta for storage) + abs of (Storage dumps for storage))\n/ Storage capacity of storage\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of\n(8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1350}, {"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -250.0, "y": 1200}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": -250.0, "y": 1050}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 250.0, "y": 1200}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage delta for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of active instances for storage", "label": "Hourly number of\nactive instances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of active instances for storage\n=\n(abs of (Hourly storage storage need) + abs of (Storage dumps for storage)) /\nStorage capacity of storage min compared with abs of (Hourly number of instances\nfor storage)\n=\n(abs of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + abs of (8749\nvalues from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0])) / 1\nterabyte min compared with abs of (26281 values from 2024-12-31 22:00:00 to\n2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1800}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}, {"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly number of active instances for storage"}, {"arrows": "to", "from": "Hourly number of instances for storage", "to": "Hourly number of active instances for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/calculus_graphs_depth1/storage_nb_of_instances_depth1.html b/calculus_graphs_depth1/storage_nb_of_instances_depth1.html
index 7b7f232d..751bc4a1 100644
--- a/calculus_graphs_depth1/storage_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/storage_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_bf95d6 {
+             #mynetwork_62b235 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_bf95d6" class="card-body"></div>
+            <div id="mynetwork_62b235" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_bf95d6');
+                  var container = document.getElementById('mynetwork_62b235');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly number of instances for storage", "label": "Hourly number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly number of instances for storage\n=\nceil of (Hourly raw number of instances for storage)\n=\nceil of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],\nlast 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]", "x": 0.0, "y": 1650}, {"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly raw number of instances for storage", "to": "Hourly number of instances for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_raw_nb_of_instances_depth1.html b/calculus_graphs_depth1/storage_raw_nb_of_instances_depth1.html
index 6a1a2956..ff6339b0 100644
--- a/calculus_graphs_depth1/storage_raw_nb_of_instances_depth1.html
+++ b/calculus_graphs_depth1/storage_raw_nb_of_instances_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_8faa24 {
+             #mynetwork_a671f3 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_8faa24" class="card-body"></div>
+            <div id="mynetwork_a671f3" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_8faa24');
+                  var container = document.getElementById('mynetwork_a671f3');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0] cumulative sum\nof storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly raw number of instances for storage", "label": "Hourly raw number of\ninstances for\nstorage", "shape": "dot", "size": 15, "title": "Hourly raw number of instances for storage\n=\nFull cumulative storage need for storage / Storage capacity of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] / 1\nterabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": 0.0, "y": 1500}, {"color": null, "id": "Full cumulative storage need for storage", "label": "Full cumulative\nstorage need for\nstorage", "shape": "dot", "size": 15, "title": "Full cumulative storage need for storage\n=\nHourly storage delta for storage cumulative sum of storage delta with initial\nstorage need storage initial storage need\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0] cumulative\nsum of storage delta with initial storage need 0 terabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]", "x": -112.5, "y": 1350}, {"color": null, "id": "Storage capacity of storage", "label": "Storage capacity of\nstorage", "shape": "dot", "size": 15, "title": "Storage capacity of storage = 1 terabyte", "x": 112.5, "y": 1350}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Full cumulative storage need for storage", "to": "Hourly raw number of instances for storage"}, {"arrows": "to", "from": "Storage capacity of storage", "to": "Hourly raw number of instances for storage"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/storage_storage_delta_depth1.html b/calculus_graphs_depth1/storage_storage_delta_depth1.html
index f238e2ac..4e93e96c 100644
--- a/calculus_graphs_depth1/storage_storage_delta_depth1.html
+++ b/calculus_graphs_depth1/storage_storage_delta_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_27c9f9 {
+             #mynetwork_143a10 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_27c9f9" class="card-body"></div>
+            <div id="mynetwork_143a10" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_27c9f9');
+                  var container = document.getElementById('mynetwork_143a10');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage delta for storage", "label": "Hourly storage delta\nfor storage", "shape": "dot", "size": 15, "title": "Hourly storage delta for storage\n=\nHourly storage storage need + Storage dumps for storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + 8749 values\nfrom 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]", "x": 0.0, "y": 1200}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}, {"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Storage dumps for storage", "to": "Hourly storage delta for storage"}, {"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/calculus_graphs_depth1/storage_storage_dumps_depth1.html b/calculus_graphs_depth1/storage_storage_dumps_depth1.html
deleted file mode 100644
index a94a53d7..00000000
--- a/calculus_graphs_depth1/storage_storage_dumps_depth1.html
+++ /dev/null
@@ -1,155 +0,0 @@
-<html>
-    <head>
-        <meta charset="utf-8">
-        
-            <script src="lib/bindings/utils.js"></script>
-            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-            
-        
-<center>
-<h1></h1>
-</center>
-
-<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
-        <link
-          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
-          rel="stylesheet"
-          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
-          crossorigin="anonymous"
-        />
-        <script
-          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
-          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
-          crossorigin="anonymous"
-        ></script>
-
-
-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_032818 {
-                 width: 760px;
-                 height: 300px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-             
-
-             
-
-             
-        </style>
-    </head>
-
-
-    <body>
-        <div class="card" style="width: 100%">
-            
-            
-            <div id="mynetwork_032818" class="card-body"></div>
-        </div>
-
-        
-        
-
-        <script type="text/javascript">
-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
-              };
-
-              
-
-              
-
-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_032818');
-
-                  
-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Storage dumps for storage", "label": "Storage dumps for\nstorage", "shape": "dot", "size": 15, "title": "Storage dumps for storage\n=\nHourly storage storage need shift by storage duration and negate Data storage\nduration of storage\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] shift by storage\nduration and negate 17532.0 hour\n=\n8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],\nlast 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]", "x": 0.0, "y": 1050}, {"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": -112.5, "y": 900}, {"color": null, "id": "Data storage duration of storage", "label": "Data storage\nduration of storage", "shape": "dot", "size": 15, "title": "Data storage duration of storage = 17532.0 hour", "x": 112.5, "y": 900}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly storage storage need", "to": "Storage dumps for storage"}, {"arrows": "to", "from": "Data storage duration of storage", "to": "Storage dumps for storage"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-                  
-
-
-                  
-
-                  network = new vis.Network(container, data, options);
-
-                  
-
-                  
-
-                  
-
-
-                  
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
\ No newline at end of file
diff --git a/calculus_graphs_depth1/storage_storage_needed_depth1.html b/calculus_graphs_depth1/storage_storage_needed_depth1.html
deleted file mode 100644
index f87894dc..00000000
--- a/calculus_graphs_depth1/storage_storage_needed_depth1.html
+++ /dev/null
@@ -1,155 +0,0 @@
-<html>
-    <head>
-        <meta charset="utf-8">
-        
-            <script src="lib/bindings/utils.js"></script>
-            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
-            
-        
-<center>
-<h1></h1>
-</center>
-
-<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
-<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
-        <link
-          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
-          rel="stylesheet"
-          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
-          crossorigin="anonymous"
-        />
-        <script
-          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
-          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
-          crossorigin="anonymous"
-        ></script>
-
-
-        <center>
-          <h1></h1>
-        </center>
-        <style type="text/css">
-
-             #mynetwork_9d4820 {
-                 width: 760px;
-                 height: 300px;
-                 background-color: #ffffff;
-                 border: 1px solid lightgray;
-                 position: relative;
-                 float: left;
-             }
-
-             
-
-             
-
-             
-        </style>
-    </head>
-
-
-    <body>
-        <div class="card" style="width: 100%">
-            
-            
-            <div id="mynetwork_9d4820" class="card-body"></div>
-        </div>
-
-        
-        
-
-        <script type="text/javascript">
-
-              // initialize global variables.
-              var edges;
-              var nodes;
-              var allNodes;
-              var allEdges;
-              var nodeColors;
-              var originalNodes;
-              var network;
-              var container;
-              var options, data;
-              var filter = {
-                  item : '',
-                  property : '',
-                  value : []
-              };
-
-              
-
-              
-
-              // This method is responsible for drawing the graph, returns the drawn network
-              function drawGraph() {
-                  var container = document.getElementById('mynetwork_9d4820');
-
-                  
-
-                  // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly storage storage need", "label": "Hourly storage\nstorage need", "shape": "dot", "size": 15, "title": "Hourly storage storage need\n=\n(Hourly streaming data upload across usage patterns) * Data replication factor\nof storage\n=\n(26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]) * 3\ndimensionless\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]", "x": 0.0, "y": 900}, {"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": -112.5, "y": 750}, {"color": null, "id": "Data replication factor of storage", "label": "Data replication\nfactor of storage", "shape": "dot", "size": 15, "title": "Data replication factor of storage = 3 dimensionless", "x": 112.5, "y": 750}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming data upload across usage patterns", "to": "Hourly storage storage need"}, {"arrows": "to", "from": "Data replication factor of storage", "to": "Hourly storage storage need"}]);
-
-                  nodeColors = {};
-                  allNodes = nodes.get({ returnType: "Object" });
-                  for (nodeId in allNodes) {
-                    nodeColors[nodeId] = allNodes[nodeId].color;
-                  }
-                  allEdges = edges.get({ returnType: "Object" });
-                  // adding nodes and edges to the graph
-                  data = {nodes: nodes, edges: edges};
-
-                  var options = {
-    "configure": {
-        "enabled": false
-    },
-    "edges": {
-        "color": {
-            "inherit": true
-        },
-        "smooth": {
-            "enabled": true,
-            "type": "dynamic"
-        }
-    },
-    "interaction": {
-        "dragNodes": true,
-        "hideEdgesOnDrag": false,
-        "hideNodesOnDrag": false
-    },
-    "physics": {
-        "enabled": false,
-        "stabilization": {
-            "enabled": true,
-            "fit": true,
-            "iterations": 1000,
-            "onlyDynamicEdges": false,
-            "updateInterval": 50
-        }
-    }
-};
-
-                  
-
-
-                  
-
-                  network = new vis.Network(container, data, options);
-
-                  
-
-                  
-
-                  
-
-
-                  
-
-                  return network;
-
-              }
-              drawGraph();
-        </script>
-    </body>
-</html>
\ No newline at end of file
diff --git a/calculus_graphs_depth1/streaming_hourly_avg_occurrences_across_usage_patterns_depth1.html b/calculus_graphs_depth1/streaming_hourly_avg_occurrences_across_usage_patterns_depth1.html
index 8644f897..718a22f9 100644
--- a/calculus_graphs_depth1/streaming_hourly_avg_occurrences_across_usage_patterns_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_avg_occurrences_across_usage_patterns_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_3d13be {
+             #mynetwork_97ed81 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_3d13be" class="card-body"></div>
+            <div id="mynetwork_97ed81" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_3d13be');
+                  var container = document.getElementById('mynetwork_97ed81');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming average occurrences across usage patterns", "label": "Hourly streaming\naverage occurrences\nacross usage\npatterns", "shape": "dot", "size": 15, "title": "Hourly streaming average occurrences across usage patterns\n=\nAverage hourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 750}, {"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Average hourly streaming occurrences in usage pattern", "to": "Hourly streaming average occurrences across usage patterns"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_avg_occurrences_per_usage_pattern_depth1.html b/calculus_graphs_depth1/streaming_hourly_avg_occurrences_per_usage_pattern_depth1.html
index 019f29b4..bc5d114b 100644
--- a/calculus_graphs_depth1/streaming_hourly_avg_occurrences_per_usage_pattern_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_avg_occurrences_per_usage_pattern_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_7536f1 {
+             #mynetwork_426988 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_7536f1" class="card-body"></div>
+            <div id="mynetwork_426988" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_7536f1');
+                  var container = document.getElementById('mynetwork_426988');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],\nlast 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 450}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Average hourly streaming occurrences in usage pattern", "label": "Average hourly\nstreaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Average hourly streaming occurrences in usage pattern\n=\nHourly streaming occurrences in usage pattern hourly occurrences average Request\nduration of streaming to server\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.07 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],\nlast 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 450}, {"color": null, "id": "Request duration of streaming to server", "label": "Request duration of\nstreaming to server", "shape": "dot", "size": 15, "title": "Request duration of streaming to server = 0.07 hour", "x": 75.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Average hourly streaming occurrences in usage pattern"}, {"arrows": "to", "from": "Request duration of streaming to server", "to": "Average hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_data_download_per_usage_pattern_depth1.html b/calculus_graphs_depth1/streaming_hourly_data_download_per_usage_pattern_depth1.html
index fbc47c09..3e7de155 100644
--- a/calculus_graphs_depth1/streaming_hourly_data_download_per_usage_pattern_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_data_download_per_usage_pattern_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_781a8a {
+             #mynetwork_fd16bc {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_781a8a" class="card-body"></div>
+            <div id="mynetwork_fd16bc" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_781a8a');
+                  var container = document.getElementById('mynetwork_fd16bc');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0,\n7200.0, 2400.0],\nlast 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0,\n3200.0, 6400.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data download for streaming in usage pattern", "label": "Hourly data download\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data download for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data download\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 800.0 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0,\n5600.0, 1600.0],\nlast 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0,\n1600.0, 5600.0]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data download per hour for job streaming in usage pattern", "label": "data download per\nhour for job\nstreaming in usage\npattern", "shape": "dot", "size": 15, "title": "data download per hour for job streaming in usage pattern\n=\nData download of request streaming / streaming duration in full hours\n=\n800 megabyte / 1 dimensionless\n=\n800.0 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data download of request streaming", "label": "Data download of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data download of request streaming = 800 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "data download per hour for job streaming in usage pattern", "to": "Hourly data download for streaming in usage pattern"}, {"arrows": "to", "from": "Data download of request streaming", "to": "data download per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data download per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_data_stored_across_usage_patterns_depth1.html b/calculus_graphs_depth1/streaming_hourly_data_stored_across_usage_patterns_depth1.html
index 588bfc33..f0b811f4 100644
--- a/calculus_graphs_depth1/streaming_hourly_data_stored_across_usage_patterns_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_data_stored_across_usage_patterns_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_afdf37 {
+             #mynetwork_336c94 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_afdf37" class="card-body"></div>
+            <div id="mynetwork_336c94" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_afdf37');
+                  var container = document.getElementById('mynetwork_336c94');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data stored for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data stored for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_data_stored_per_usage_pattern_depth1.html b/calculus_graphs_depth1/streaming_hourly_data_stored_per_usage_pattern_depth1.html
index f4a20138..9ff69cf4 100644
--- a/calculus_graphs_depth1/streaming_hourly_data_stored_per_usage_pattern_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_data_stored_per_usage_pattern_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_38be2b {
+             #mynetwork_d72389 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_38be2b" class="card-body"></div>
+            <div id="mynetwork_d72389" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_38be2b');
+                  var container = document.getElementById('mynetwork_d72389');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data stored for streaming in usage pattern", "label": "Hourly data stored\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data stored for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data stored\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data stored per hour for job streaming in usage pattern", "label": "data stored per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data stored per hour for job streaming in usage pattern\n=\nData stored by request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data stored by request streaming", "label": "Data stored by\nrequest streaming", "shape": "dot", "size": 15, "title": "Data stored by request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "data stored per hour for job streaming in usage pattern", "to": "Hourly data stored for streaming in usage pattern"}, {"arrows": "to", "from": "Data stored by request streaming", "to": "data stored per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data stored per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_data_upload_across_usage_patterns_depth1.html b/calculus_graphs_depth1/streaming_hourly_data_upload_across_usage_patterns_depth1.html
index 1e0e9591..8bb84ec3 100644
--- a/calculus_graphs_depth1/streaming_hourly_data_upload_across_usage_patterns_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_data_upload_across_usage_patterns_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_85f216 {
+             #mynetwork_fb8ea8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_85f216" class="card-body"></div>
+            <div id="mynetwork_fb8ea8" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_85f216');
+                  var container = document.getElementById('mynetwork_fb8ea8');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming data upload across usage patterns", "label": "Hourly streaming\ndata upload across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming data upload across usage patterns\n=\nHourly data upload for streaming in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 750}, {"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly data upload for streaming in usage pattern", "to": "Hourly streaming data upload across usage patterns"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_data_upload_per_usage_pattern_depth1.html b/calculus_graphs_depth1/streaming_hourly_data_upload_per_usage_pattern_depth1.html
index a24ce426..6aa4d114 100644
--- a/calculus_graphs_depth1/streaming_hourly_data_upload_per_usage_pattern_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_data_upload_per_usage_pattern_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f015f5 {
+             #mynetwork_b62ad8 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_f015f5" class="card-body"></div>
+            <div id="mynetwork_b62ad8" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f015f5');
+                  var container = document.getElementById('mynetwork_b62ad8');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],\nlast 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 450}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly data upload for streaming in usage pattern", "label": "Hourly data upload\nfor streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "Hourly data upload for streaming in usage pattern\n=\n(shift by 0 of (Hourly streaming occurrences in usage pattern)) * data upload\nper hour for job streaming in usage pattern\n=\n(shift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])) * 0.05 megabyte\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:\nfirst 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],\nlast 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 450}, {"color": null, "id": "data upload per hour for job streaming in usage pattern", "label": "data upload per hour\nfor job streaming in\nusage pattern", "shape": "dot", "size": 15, "title": "data upload per hour for job streaming in usage pattern\n=\nData upload of request streaming / streaming duration in full hours\n=\n0.05 megabyte / 1 dimensionless\n=\n0.05 megabyte", "x": 112.5, "y": 450}, {"color": null, "id": "Data upload of request streaming", "label": "Data upload of\nrequest streaming", "shape": "dot", "size": 15, "title": "Data upload of request streaming = 0.05 megabyte", "x": 0.0, "y": 300}, {"color": null, "id": "streaming duration in full hours", "label": "streaming duration\nin full hours", "shape": "dot", "size": 15, "title": "streaming duration in full hours = 1 dimensionless", "x": 150.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "data upload per hour for job streaming in usage pattern", "to": "Hourly data upload for streaming in usage pattern"}, {"arrows": "to", "from": "Data upload of request streaming", "to": "data upload per hour for job streaming in usage pattern"}, {"arrows": "to", "from": "streaming duration in full hours", "to": "data upload per hour for job streaming in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_occurrences_across_usage_patterns_depth1.html b/calculus_graphs_depth1/streaming_hourly_occurrences_across_usage_patterns_depth1.html
index 41b5cc35..cb510e75 100644
--- a/calculus_graphs_depth1/streaming_hourly_occurrences_across_usage_patterns_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_occurrences_across_usage_patterns_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_37715a {
+             #mynetwork_2182cd {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_37715a" class="card-body"></div>
+            <div id="mynetwork_2182cd" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_37715a');
+                  var container = document.getElementById('mynetwork_2182cd');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences across usage patterns", "label": "Hourly streaming\noccurrences across\nusage patterns", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences across usage patterns\n=\nHourly streaming occurrences in usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 600}, {"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Hourly streaming occurrences in usage pattern", "to": "Hourly streaming occurrences across usage patterns"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/streaming_hourly_occurrences_per_usage_pattern_depth1.html b/calculus_graphs_depth1/streaming_hourly_occurrences_per_usage_pattern_depth1.html
index 44f4382d..69a25274 100644
--- a/calculus_graphs_depth1/streaming_hourly_occurrences_per_usage_pattern_depth1.html
+++ b/calculus_graphs_depth1/streaming_hourly_occurrences_per_usage_pattern_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_d9a895 {
+             #mynetwork_06b8c1 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_d9a895" class="card-body"></div>
+            <div id="mynetwork_06b8c1" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_d9a895');
+                  var container = document.getElementById('mynetwork_06b8c1');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Hourly streaming occurrences in usage pattern", "label": "Hourly streaming\noccurrences in usage\npattern", "shape": "dot", "size": 15, "title": "Hourly streaming occurrences in usage pattern\n=\nshift by 0 of (usage pattern UTC)\n=\nshift by 0 of (26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in\ndimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7])\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "Hourly streaming occurrences in usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_devices_energy_depth1.html b/calculus_graphs_depth1/usage_pattern_devices_energy_depth1.html
index 4ddd551e..9f853017 100644
--- a/calculus_graphs_depth1/usage_pattern_devices_energy_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_devices_energy_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_fb64ed {
+             #mynetwork_5ea5f6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_fb64ed" class="card-body"></div>
+            <div id="mynetwork_5ea5f6" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_fb64ed');
+                  var container = document.getElementById('mynetwork_5ea5f6');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -150.0, "y": 450}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -150.0, "y": 450}, {"color": null, "id": "Power of device on which the user journey is made", "label": "Power of device on\nwhich the user\njourney is made", "shape": "dot", "size": 15, "title": "Power of device on which the user journey is made = 50 watt", "x": 0.0, "y": 450}, {"color": null, "id": "one full hour", "label": "one full hour", "shape": "dot", "size": 15, "title": "one full hour = 1 hour", "x": 150.0, "y": 450}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "Power of device on which the user journey is made", "to": "Energy consumed by usage pattern devices"}, {"arrows": "to", "from": "one full hour", "to": "Energy consumed by usage pattern devices"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_devices_energy_footprint_depth1.html b/calculus_graphs_depth1/usage_pattern_devices_energy_footprint_depth1.html
index d2e0a21b..01e40dbc 100644
--- a/calculus_graphs_depth1/usage_pattern_devices_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_devices_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_f2e371 {
+             #mynetwork_c5c74a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_f2e371" class="card-body"></div>
+            <div id="mynetwork_c5c74a" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_f2e371');
+                  var container = document.getElementById('mynetwork_c5c74a');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]", "x": -112.5, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}, {"color": null, "id": "Energy consumed by usage pattern devices", "label": "Energy consumed by\nusage pattern\ndevices", "shape": "dot", "size": 15, "title": "Energy consumed by usage pattern devices\n=\nusage pattern hourly nb of user journeys in parallel * (Power of device on which\nthe user journey is made) * one full hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] * (50\nwatt) * 1 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]", "x": -112.5, "y": 600}, {"color": null, "id": "Average carbon intensity of devices country", "label": "Average carbon\nintensity of devices\ncountry", "shape": "dot", "size": 15, "title": "Average carbon intensity of devices country = 85.0 gram / kilowatt_hour", "x": 112.5, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy consumed by usage pattern devices", "to": "Energy footprint of usage pattern"}, {"arrows": "to", "from": "Average carbon intensity of devices country", "to": "Energy footprint of usage pattern"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_devices_fabrication_footprint_depth1.html b/calculus_graphs_depth1/usage_pattern_devices_fabrication_footprint_depth1.html
index 0970b7bd..149180fc 100644
--- a/calculus_graphs_depth1/usage_pattern_devices_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_devices_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_a7c699 {
+             #mynetwork_81c5e6 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_a7c699" class="card-body"></div>
+            <div id="mynetwork_81c5e6" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_a7c699');
+                  var container = document.getElementById('mynetwork_81c5e6');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": -225.0, "y": 450}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}, {"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": -225.0, "y": 450}, {"color": null, "id": "device on which the user journey is made fabrication footprint over one hour", "label": "device on which the\nuser journey is made\nfabrication\nfootprint over one\nhour", "shape": "dot", "size": 15, "title": "device on which the user journey is made fabrication footprint over one hour\n=\nCarbon footprint fabrication of device on which the user journey is made * one\nhour / (Lifespan of device on which the user journey is made * device on which\nthe user journey is made fraction of usage time)\n=\n156 kilogram * 1 hour / (6 year * 7.0 hour / day)\n=\n10.17 gram", "x": 225.0, "y": 450}, {"color": null, "id": "Carbon footprint fabrication of device on which the user journey is made", "label": "Carbon footprint\nfabrication of\ndevice on which the\nuser journey is made", "shape": "dot", "size": 15, "title": "Carbon footprint fabrication of device on which the user journey is made = 156\nkilogram", "x": -75.0, "y": 300}, {"color": null, "id": "one hour", "label": "one hour", "shape": "dot", "size": 15, "title": "one hour = 1 hour", "x": 75.0, "y": 300}, {"color": null, "id": "Lifespan of device on which the user journey is made", "label": "Lifespan of device\non which the user\njourney is made", "shape": "dot", "size": 15, "title": "Lifespan of device on which the user journey is made = 6 year", "x": 225.0, "y": 300}, {"color": null, "id": "device on which the user journey is made fraction of usage time", "label": "device on which the\nuser journey is made\nfraction of usage\ntime", "shape": "dot", "size": 15, "title": "device on which the user journey is made fraction of usage time = 7.0 hour / day", "x": 375.0, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of user journeys in parallel", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "device on which the user journey is made fabrication footprint over one hour", "to": "Devices fabrication footprint of usage pattern"}, {"arrows": "to", "from": "Carbon footprint fabrication of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "one hour", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "Lifespan of device on which the user journey is made", "to": "device on which the user journey is made fabrication footprint over one hour"}, {"arrows": "to", "from": "device on which the user journey is made fraction of usage time", "to": "device on which the user journey is made fabrication footprint over one hour"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_energy_footprint_depth1.html b/calculus_graphs_depth1/usage_pattern_energy_footprint_depth1.html
index 1a8e960a..bdcdf79d 100644
--- a/calculus_graphs_depth1/usage_pattern_energy_footprint_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_energy_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_5885a8 {
+             #mynetwork_c31be2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_5885a8" class="card-body"></div>
+            <div id="mynetwork_c31be2" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_5885a8');
+                  var container = document.getElementById('mynetwork_c31be2');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],\nlast 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],\nlast 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]", "x": 0.0, "y": 750}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total energy footprint", "label": "usage pattern total\nenergy footprint", "shape": "dot", "size": 15, "title": "usage pattern total energy footprint\n=\nEnergy footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 900}, {"color": null, "id": "Energy footprint of usage pattern", "label": "Energy footprint of\nusage pattern", "shape": "dot", "size": 15, "title": "Energy footprint of usage pattern\n=\nEnergy consumed by usage pattern devices * Average carbon intensity of devices\ncountry\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:\nfirst 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],\nlast 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12] * 85.0\ngram / kilowatt_hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],\nlast 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]", "x": 0.0, "y": 750}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Energy footprint of usage pattern", "to": "usage pattern total energy footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_instances_fabrication_footprint_depth1.html b/calculus_graphs_depth1/usage_pattern_instances_fabrication_footprint_depth1.html
index 50557e24..169c9532 100644
--- a/calculus_graphs_depth1/usage_pattern_instances_fabrication_footprint_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_instances_fabrication_footprint_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_ad9046 {
+             #mynetwork_4f0398 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_ad9046" class="card-body"></div>
+            <div id="mynetwork_4f0398" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_ad9046');
+                  var container = document.getElementById('mynetwork_4f0398');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67] * (10.17\ngram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],\nlast 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]", "x": 0.0, "y": 600}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern total fabrication footprint", "label": "usage pattern total\nfabrication\nfootprint", "shape": "dot", "size": 15, "title": "usage pattern total fabrication footprint\n=\nDevices fabrication footprint of usage pattern\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 750}, {"color": null, "id": "Devices fabrication footprint of usage pattern", "label": "Devices fabrication\nfootprint of usage\npattern", "shape": "dot", "size": 15, "title": "Devices fabrication footprint of usage pattern\n=\nusage pattern hourly nb of user journeys in parallel * (device on which the user\njourney is made fabrication footprint over one hour)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33] *\n(10.17 gram)\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:\nfirst 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],\nlast 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]", "x": 0.0, "y": 600}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "Devices fabrication footprint of usage pattern", "to": "usage pattern total fabrication footprint"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_nb_user_journeys_in_parallel_depth1.html b/calculus_graphs_depth1/usage_pattern_nb_user_journeys_in_parallel_depth1.html
index 6b9c1608..7073c531 100644
--- a/calculus_graphs_depth1/usage_pattern_nb_user_journeys_in_parallel_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_nb_user_journeys_in_parallel_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_845e5b {
+             #mynetwork_cc504a {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_845e5b" class="card-body"></div>
+            <div id="mynetwork_cc504a" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_845e5b');
+                  var container = document.getElementById('mynetwork_cc504a');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],\nlast 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -112.5, "y": 300}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern hourly nb of user journeys in parallel", "label": "usage pattern hourly\nnb of user journeys\nin parallel", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of user journeys in parallel\n=\nusage pattern UTC hourly occurrences average Duration of user journey\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] hourly occurrences average 0.33 hour\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],\nlast 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]", "x": 0.0, "y": 450}, {"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -112.5, "y": 300}, {"color": null, "id": "Duration of user journey", "label": "Duration of user\njourney", "shape": "dot", "size": 15, "title": "Duration of user journey\n=\nTime spent on step 20 min streaming\n=\n20 minute\n=\n0.33 hour", "x": 112.5, "y": 300}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern UTC", "to": "usage pattern hourly nb of user journeys in parallel"}, {"arrows": "to", "from": "Duration of user journey", "to": "usage pattern hourly nb of user journeys in parallel"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/usage_pattern_utc_hourly_user_journey_starts_depth1.html b/calculus_graphs_depth1/usage_pattern_utc_hourly_user_journey_starts_depth1.html
index 66ea8765..f06e1bc1 100644
--- a/calculus_graphs_depth1/usage_pattern_utc_hourly_user_journey_starts_depth1.html
+++ b/calculus_graphs_depth1/usage_pattern_utc_hourly_user_journey_starts_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_27fcfc {
+             #mynetwork_cbe296 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_27fcfc" class="card-body"></div>
+            <div id="mynetwork_cbe296" class="card-body"></div>
         </div>
 
         
@@ -83,12 +83,12 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_27fcfc');
+                  var container = document.getElementById('mynetwork_cbe296');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],\nlast 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
+                  nodes = new vis.DataSet([{"color": null, "id": "usage pattern UTC", "label": "usage pattern UTC", "shape": "dot", "size": 15, "title": "usage pattern UTC\n=\nusage pattern hourly nb of visits from hypothesis converted to UTC from devices\ncountry timezone from user data\n=\n26281 values from 2025-01-01 00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7] converted to UTC from Europe/Paris\n=\n26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": 0.0, "y": 300}, {"color": "darkred", "id": "usage pattern hourly nb of visits from hypothesis", "label": "usage pattern hourly\nnb of visits from\nhypothesis", "shape": "dot", "size": 15, "title": "usage pattern hourly nb of visits from hypothesis = 26281 values from 2025-01-01\n00:00:00 to 2028-01-01 00:00:00 in dimensionless:\nfirst 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],\nlast 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]", "x": -75.0, "y": 150}, {"color": "gold", "id": "devices country timezone from user data", "label": "devices country\ntimezone from user\ndata", "shape": "dot", "size": 15, "title": "devices country timezone from user data = Europe/Paris", "x": 75.0, "y": 150}]);
                   edges = new vis.DataSet([{"arrows": "to", "from": "usage pattern hourly nb of visits from hypothesis", "to": "usage pattern UTC"}, {"arrows": "to", "from": "devices country timezone from user data", "to": "usage pattern UTC"}]);
 
                   nodeColors = {};
diff --git a/calculus_graphs_depth1/user_journey_duration_depth1.html b/calculus_graphs_depth1/user_journey_duration_depth1.html
index 7d44709c..d9509000 100644
--- a/calculus_graphs_depth1/user_journey_duration_depth1.html
+++ b/calculus_graphs_depth1/user_journey_duration_depth1.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_886fea {
+             #mynetwork_cf8bd2 {
                  width: 760px;
                  height: 300px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_886fea" class="card-body"></div>
+            <div id="mynetwork_cf8bd2" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_886fea');
+                  var container = document.getElementById('mynetwork_cf8bd2');
 
                   
 
diff --git a/database_modeling/index.html b/database_modeling/index.html
index 0eb55a74..1fecdcb5 100644
--- a/database_modeling/index.html
+++ b/database_modeling/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>How to model a database</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/design_deep_dive/index.html b/design_deep_dive/index.html
index 43430e56..882143f6 100644
--- a/design_deep_dive/index.html
+++ b/design_deep_dive/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>e-footprint design choices deep dive</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/device_population_fab_footprint_calculus_graph.html b/device_population_fab_footprint_calculus_graph.html
index 63e62315..e42c8aa2 100644
--- a/device_population_fab_footprint_calculus_graph.html
+++ b/device_population_fab_footprint_calculus_graph.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_a02311 {
+             #mynetwork_bc4275 {
                  width: 800px;
                  height: 500px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_a02311" class="card-body"></div>
+            <div id="mynetwork_bc4275" class="card-body"></div>
         </div>
 
         
@@ -83,7 +83,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_a02311');
+                  var container = document.getElementById('mynetwork_bc4275');
 
                   
 
diff --git a/efootprint_scope/index.html b/efootprint_scope/index.html
index ad93e36d..1c6ef94f 100644
--- a/efootprint_scope/index.html
+++ b/efootprint_scope/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1242,7 +1242,7 @@ <h1 id="e-footprint-scope">e-footprint scope</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/evolution_across_time/index.html b/evolution_across_time/index.html
index 230b0172..63eebaca 100644
--- a/evolution_across_time/index.html
+++ b/evolution_across_time/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>How to model the evolution of a system across time</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/explanation_overview/index.html b/explanation_overview/index.html
index 584fb875..462c69a5 100644
--- a/explanation_overview/index.html
+++ b/explanation_overview/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1248,7 +1248,7 @@ <h1 id="explanation-overview">Explanation overview</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/get_started/index.html b/get_started/index.html
index a5f29c52..04953fae 100644
--- a/get_started/index.html
+++ b/get_started/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1320,7 +1320,7 @@ <h2 id="team-organization">Team organization</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/index.html b/index.html
index 99817bd7..4b94895d 100644
--- a/index.html
+++ b/index.html
@@ -14,7 +14,7 @@
       
       
       <link rel="icon" href="assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -22,7 +22,7 @@
       
     
     
-      <link rel="stylesheet" href="assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1241,7 +1241,7 @@ <h1 id="welcome-to-the-e-footprint-documentation">Welcome to the e-footprint doc
     </div>
     
     
-    <script id="__config" type="application/json">{"base": ".", "features": ["content.code.copy"], "search": "assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": ".", "features": ["content.code.copy"], "search": "assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/links/index.html b/links/index.html
index 7981f2c6..c81aa3ef 100644
--- a/links/index.html
+++ b/links/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1241,7 +1241,7 @@ <h1 id="external-links">External links</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/machine_learning_workflow/index.html b/machine_learning_workflow/index.html
index cd92993b..f8b84129 100644
--- a/machine_learning_workflow/index.html
+++ b/machine_learning_workflow/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>How to model a machine learning workflow</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/measurement_tools/index.html b/measurement_tools/index.html
index 82c8741a..6ace07f8 100644
--- a/measurement_tools/index.html
+++ b/measurement_tools/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>What about measurement tools ?</h1>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/methodology/index.html b/methodology/index.html
index 5acdf65b..c0fb9f37 100644
--- a/methodology/index.html
+++ b/methodology/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1343,7 +1343,7 @@ <h2 id="simulation-and-priorisation">Simulation and priorisation</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/object_reference/index.html b/object_reference/index.html
index af6c0aa3..13026498 100644
--- a/object_reference/index.html
+++ b/object_reference/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1339,7 +1339,7 @@ <h2 id="calculated-attributes">Calculated attributes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/object_relationships_graph.html b/object_relationships_graph.html
index 8b510279..fa953253 100644
--- a/object_relationships_graph.html
+++ b/object_relationships_graph.html
@@ -31,7 +31,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_aacc22 {
+             #mynetwork_34d1a1 {
                  width: 800px;
                  height: 500px;
                  background-color: #ffffff;
@@ -53,7 +53,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
             
             
-            <div id="mynetwork_aacc22" class="card-body"></div>
+            <div id="mynetwork_34d1a1" class="card-body"></div>
         </div>
 
         
@@ -83,13 +83,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_aacc22');
+                  var container = document.getElementById('mynetwork_34d1a1');
 
                   
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "red", "id": 4757093072, "label": "Daily video\nstreaming\nconsumption", "shape": "dot", "title": "UsagePattern id-0e4f7f-Daily-video-streaming-consumption\n \nhourly_user_journey_starts: 26280 values from 2025-01-01 00:00:00 to 2027-12-31\n23:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nuser_journey: id-bef9fd-Mean-video-consumption-user-journey\ndevices: [id-432eb2-Default-laptop]\nnetwork: id-2319bf-WIFI-network\ncountry: id-044f26-France\n \ncalculated_attributes:\nutc_hourly_user_journey_starts: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nnb_user_journeys_in_parallel: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1058.33, 767.97, 544.51, 403.83, 356.26, 405.81, 549.86, 779.32,\n1079.23, 1429.74],\nlast 10 vals [61224.34, 64119.95, 65111.1, 64130.14, 61243.82, 56648.73,\n50657.99, 43679.85, 36189.95, 28698.87]\ndevices_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nkWh:\nfirst 10 vals [52.92, 38.4, 27.23, 20.19, 17.81, 20.29, 27.49, 38.97, 53.96,\n71.49],\nlast 10 vals [3061.22, 3206.0, 3255.55, 3206.51, 3062.19, 2832.44, 2532.9,\n2183.99, 1809.5, 1434.94]\ndevices_energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ndevices_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]"}, {"color": "dodgerblue", "id": 4756490000, "label": "Mean video\nconsumption user\njourney", "shape": "dot", "title": "UserJourney id-bef9fd-Mean-video-consumption-user-journey\n \nuj_steps: [id-6dc3fc-20-min-streaming,\nid-3bf51c-1-min-video-capture-then-upload]\n \ncalculated_attributes:\nduration: 0.35 hour"}, {"color": "deepskyblue", "id": 4756491488, "label": "20 min streaming", "shape": "dot", "title": "UserJourneyStep id-6dc3fc-20-min-streaming\n \nuser_time_spent: 20 minute\njobs: [id-31e807-streaming]"}, {"color": "palegoldenrod", "id": 4756491152, "label": "streaming", "shape": "dot", "title": "Job id-31e807-streaming\n \njob_type: undefined\nserver: id-d33c18-server\nstorage: id-f650af-SSD-storage\ndata_upload: 0.05 megabyte\ndata_download: 800 megabyte\ndata_stored: 0.05 megabyte\nrequest_duration: 0.07 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [200.0, 145.13, 102.9, 76.31, 67.32, 76.69, 103.91, 147.27,\n203.95, 270.19],\nlast 10 vals [11569.95, 12117.16, 12304.46, 12119.08, 11573.63, 10705.27,\n9573.16, 8254.46, 6839.05, 5423.41]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]"}, {"color": "red", "id": 4756060160, "label": "server", "shape": "dot", "title": "Autoscaling id-d33c18-server\n \ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n \ncalculated_attributes:\nhour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in core:\nfirst 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5,\n205.65, 272.44],\nlast 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48,\n9652.94, 8323.25, 6896.04, 5468.6]\nhour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in GB:\nfirst 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\nlast 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16,\n344.8, 273.43]\navailable_ram_per_instance: 114.9 gigabyte\navailable_cpu_per_instance: 19.6 core\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\nlast 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66,\n351.84, 279.01]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\nlast 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0,\n280.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\nlast 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kWh:\nfirst 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\nlast 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9,\n126.67, 100.5]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\nlast 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67,\n10.05]"}, {"color": "palegoldenrod", "id": 4756492160, "label": "video upload", "shape": "dot", "title": "Job id-390ee7-video-upload\n \njob_type: undefined\nserver: id-d33c18-server\nstorage: id-f650af-SSD-storage\ndata_upload: 20 megabyte\ndata_download: 0 gigabyte\ndata_stored: 20 megabyte\nrequest_duration: 0.0 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1.67, 1.21, 0.86, 0.64, 0.56, 0.64, 0.87, 1.23, 1.7, 2.25],\nlast 10 vals [96.42, 100.98, 102.54, 100.99, 96.45, 89.21, 79.78, 68.79, 56.99,\n45.2]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]"}, {"color": "deepskyblue", "id": 4756489856, "label": "1 min video capture\nthen upload", "shape": "dot", "title": "UserJourneyStep id-3bf51c-1-min-video-capture-then-upload\n \nuser_time_spent: 70 second\njobs: [id-390ee7-video-upload]"}, {"color": "red", "id": 4756489040, "label": "SSD storage", "shape": "dot", "title": "Storage id-f650af-SSD-storage\n \ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 17532.0 hour\nbase_storage_need: 100 terabyte\n \ncalculated_attributes:\nstorage_needed: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [10.44, 10.93, 11.1, 10.93, 10.44, 9.66, 8.64, 7.45, 6.17, 4.89]\nstorage_dumps: 8748 values from 2027-01-01 10:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [-0.18, -0.13, -0.09, -0.07, -0.06, -0.07, -0.09, -0.13, -0.18,\n-0.24],\nlast 10 vals [-0.69, -0.51, -0.45, -0.51, -0.69, -0.98, -1.35, -1.79, -2.26,\n-2.73]\nstorage_delta: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [9.75, 10.42, 10.65, 10.42, 9.75, 8.68, 7.28, 5.66, 3.91, 2.17]\nfull_cumulative_storage_need: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in TB:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_active_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [10.44, 10.93, 11.1, 10.93, 10.44, 9.66, 8.64, 7.45, 6.17, 4.89]\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 102.0,\n102.0],\nlast 10 vals [72122.0, 72132.0, 72143.0, 72154.0, 72163.0, 72172.0, 72179.0,\n72185.0, 72189.0, 72191.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31],\nlast 10 vals [219.4, 219.43, 219.46, 219.5, 219.52, 219.55, 219.57, 219.59,\n219.6, 219.61]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin W * h:\nfirst 10 vals [0.28, 0.2, 0.14, 0.11, 0.09, 0.11, 0.15, 0.21, 0.29, 0.38],\nlast 10 vals [16.28, 17.06, 17.32, 17.06, 16.29, 15.07, 13.47, 11.62, 9.63,\n7.63]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]"}]);
-                  edges = new vis.DataSet([{"from": 4757093072, "to": 4756490000}, {"from": 4756490000, "to": 4756491488}, {"from": 4756491488, "to": 4756491152}, {"from": 4756491152, "to": 4756060160}, {"from": 4756060160, "to": 4756492160}, {"from": 4756492160, "to": 4756489856}, {"from": 4756489856, "to": 4756490000}, {"from": 4756492160, "to": 4756489040}, {"from": 4756489040, "to": 4756491152}]);
+                  nodes = new vis.DataSet([{"color": "red", "id": 5434806144, "label": "Daily video\nstreaming\nconsumption", "shape": "dot", "title": "UsagePattern id-ce51a1-Daily-video-streaming-consumption\n \nhourly_user_journey_starts: 26280 values from 2025-01-01 00:00:00 to 2027-12-31\n23:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nuser_journey: id-fb3507-Mean-video-consumption-user-journey\ndevices: [id-eefbe8-Default-laptop]\nnetwork: id-f8ef1d-WIFI-network\ncountry: id-a42045-France\n \ncalculated_attributes:\nutc_hourly_user_journey_starts: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nnb_user_journeys_in_parallel: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1058.33, 767.97, 544.51, 403.83, 356.26, 405.81, 549.86, 779.32,\n1079.23, 1429.74],\nlast 10 vals [61224.34, 64119.95, 65111.1, 64130.14, 61243.82, 56648.73,\n50657.99, 43679.85, 36189.95, 28698.87]\ndevices_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nkWh:\nfirst 10 vals [52.92, 38.4, 27.23, 20.19, 17.81, 20.29, 27.49, 38.97, 53.96,\n71.49],\nlast 10 vals [3061.22, 3206.0, 3255.55, 3206.51, 3062.19, 2832.44, 2532.9,\n2183.99, 1809.5, 1434.94]\ndevices_energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ndevices_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]"}, {"color": "dodgerblue", "id": 5433019712, "label": "Mean video\nconsumption user\njourney", "shape": "dot", "title": "UserJourney id-fb3507-Mean-video-consumption-user-journey\n \nuj_steps: [id-9933a2-20-min-streaming,\nid-dbe16b-1-min-video-capture-then-upload]\n \ncalculated_attributes:\nduration: 0.35 hour"}, {"color": "deepskyblue", "id": 5434804080, "label": "20 min streaming", "shape": "dot", "title": "UserJourneyStep id-9933a2-20-min-streaming\n \nuser_time_spent: 20 minute\njobs: [id-d01667-streaming]"}, {"color": "palegoldenrod", "id": 5434803936, "label": "streaming", "shape": "dot", "title": "Job id-d01667-streaming\n \njob_type: undefined\nserver: id-e8b1b3-server\nstorage: id-e89ac0-SSD-storage\ndata_upload: 0.05 megabyte\ndata_download: 800 megabyte\ndata_stored: 0.05 megabyte\nrequest_duration: 0.07 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [200.0, 145.13, 102.9, 76.31, 67.32, 76.69, 103.91, 147.27,\n203.95, 270.19],\nlast 10 vals [11569.95, 12117.16, 12304.46, 12119.08, 11573.63, 10705.27,\n9573.16, 8254.46, 6839.05, 5423.41]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]"}, {"color": "red", "id": 5434470384, "label": "server", "shape": "dot", "title": "Autoscaling id-e8b1b3-server\n \ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n \ncalculated_attributes:\nhour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in core:\nfirst 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5,\n205.65, 272.44],\nlast 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48,\n9652.94, 8323.25, 6896.04, 5468.6]\nhour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in GB:\nfirst 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\nlast 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16,\n344.8, 273.43]\navailable_ram_per_instance: 114.9 gigabyte\navailable_cpu_per_instance: 19.6 core\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\nlast 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66,\n351.84, 279.01]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\nlast 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0,\n280.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\nlast 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kWh:\nfirst 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\nlast 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9,\n126.67, 100.5]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\nlast 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67,\n10.05]"}, {"color": "palegoldenrod", "id": 5434804704, "label": "video upload", "shape": "dot", "title": "Job id-295361-video-upload\n \njob_type: undefined\nserver: id-e8b1b3-server\nstorage: id-e89ac0-SSD-storage\ndata_upload: 20 megabyte\ndata_download: 0 gigabyte\ndata_stored: 20 megabyte\nrequest_duration: 0.0 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1.67, 1.21, 0.86, 0.64, 0.56, 0.64, 0.87, 1.23, 1.7, 2.25],\nlast 10 vals [96.42, 100.98, 102.54, 100.99, 96.45, 89.21, 79.78, 68.79, 56.99,\n45.2]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]"}, {"color": "deepskyblue", "id": 5434804992, "label": "1 min video capture\nthen upload", "shape": "dot", "title": "UserJourneyStep id-dbe16b-1-min-video-capture-then-upload\n \nuser_time_spent: 70 second\njobs: [id-295361-video-upload]"}, {"color": "red", "id": 5434473744, "label": "SSD storage", "shape": "dot", "title": "Storage id-e89ac0-SSD-storage\n \ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 17532.0 hour\nbase_storage_need: 100 terabyte\n \ncalculated_attributes:\nstorage_delta: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [9.75, 10.42, 10.65, 10.42, 9.75, 8.68, 7.28, 5.66, 3.91, 2.17]\nfull_cumulative_storage_need: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in TB:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 102.0,\n102.0],\nlast 10 vals [72122.0, 72132.0, 72143.0, 72154.0, 72163.0, 72172.0, 72179.0,\n72185.0, 72189.0, 72191.0]\nnb_of_active_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [11.13, 11.44, 11.55, 11.45, 11.13, 10.64, 9.99, 9.24, 8.43, 7.62]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31],\nlast 10 vals [219.4, 219.43, 219.46, 219.5, 219.52, 219.55, 219.57, 219.59,\n219.6, 219.61]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin W * h:\nfirst 10 vals [0.28, 0.2, 0.14, 0.11, 0.09, 0.11, 0.15, 0.21, 0.29, 0.38],\nlast 10 vals [17.36, 17.85, 18.02, 17.86, 17.37, 16.6, 15.59, 14.41, 13.15,\n11.89]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]"}]);
+                  edges = new vis.DataSet([{"from": 5434806144, "to": 5433019712}, {"from": 5433019712, "to": 5434804080}, {"from": 5434804080, "to": 5434803936}, {"from": 5434803936, "to": 5434470384}, {"from": 5434470384, "to": 5434804704}, {"from": 5434804704, "to": 5434804992}, {"from": 5434804992, "to": 5433019712}, {"from": 5434804704, "to": 5434473744}, {"from": 5434473744, "to": 5434803936}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
diff --git a/only_CO2/index.html b/only_CO2/index.html
index d3ca7786..0a9ef9c9 100644
--- a/only_CO2/index.html
+++ b/only_CO2/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>Why only CO2 ?</h1>
     </div>
     
     
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diff --git a/search/search_index.json b/search/search_index.json
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+++ b/search/search_index.json
@@ -1 +1 @@
-{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Welcome to the e-footprint documentation !","text":"<p>If you are new to e-footprint, start by checking out the explanation section, then the tutorial.</p> <p>All e-footprint objects, parameters and calculated attributes are listed in the e-footprint object reference. </p> <p>Moreover, e-footprint has higher-level functions to facilitate the construction of objects from fewer parameters. You can check them out in the e-footprint builders reference. </p> <p>The source code is available in the e-footprint github repository and a graphical interface is under construction to facilitate the use of the model (in beta for now, your feedback is appreciated). </p> <p>This project has been initiated by Vincent Villet for Publicis Sapient and is now part of the green IT association Boavizta\u2019s ecosystem of open source tools. </p>"},{"location":"Autoscaling/","title":"Autoscaling","text":""},{"location":"Autoscaling/#params","title":"Params","text":""},{"location":"Autoscaling/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Autoscaling/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of server in kilogram.</p>"},{"location":"Autoscaling/#power","title":"power","text":"<p>power of server in watt.</p>"},{"location":"Autoscaling/#lifespan","title":"lifespan","text":"<p>lifespan of server in year.</p>"},{"location":"Autoscaling/#idle_power","title":"idle_power","text":"<p>idle power of server in watt.</p>"},{"location":"Autoscaling/#ram","title":"ram","text":"<p>ram of server in gigabyte.</p>"},{"location":"Autoscaling/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of server in core.</p>"},{"location":"Autoscaling/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of server in dimensionless.</p>"},{"location":"Autoscaling/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of server electricity in gram / kilowatt_hour.</p>"},{"location":"Autoscaling/#server_utilization_rate","title":"server_utilization_rate","text":"<p>server utilization rate in dimensionless.</p>"},{"location":"Autoscaling/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of server in megabyte.</p>"},{"location":"Autoscaling/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of server in core.</p>"},{"location":"Autoscaling/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Autoscaling/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Autoscaling/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>server hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],     last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to server hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>server hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to server hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per server instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of server</li> <li>server utilization rate</li> <li>Base RAM consumption of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per server instance\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per server instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of server</li> <li>server utilization rate</li> <li>Base CPU consumption of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per server instance\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>server hour by hour ram need</li> <li>Available RAM per server instance</li> <li>server hour by hour cpu need</li> <li>Available CPU per server instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],     last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of server instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly server instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of server instances</li> <li>Carbon footprint fabrication of server</li> <li>Lifespan of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly server instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by server instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.06, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.07, 0.06],     last 10 vals [0.06, 0.07, 0.07, 0.06, 0.06, 0.06, 0.07, 0.06, 0.06, 0.07]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of server instances</li> <li>Idle power of server</li> <li>PUE of server</li> <li>Hourly raw number of server instances</li> <li>Power of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#energy_footprint","title":"energy_footprint","text":"<p>hourly server energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by server instances</li> <li>Average carbon intensity of server electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly server energy footprint\u2019s full calculation graph.</p>"},{"location":"Changelog/","title":"Change Log","text":"<p>All notable changes to this project will be documented in this file.</p> <p>The format is based on Keep a Changelog and this project adheres to Semantic Versioning.</p>"},{"location":"Changelog/#600-2024-09-24","title":"[6.0.0] 2024-09-24","text":"<ul> <li>Introduce in job Object the attribute \"data_stored\". This attribute is the amount of data stored by the job in the storage. It can be negative if the job deletes data from the storage.</li> </ul>"},{"location":"Changelog/#500-2024-09-20","title":"[5.0.0] 2024-09-20","text":"<ul> <li>Supress Service object and transfer its functions to Server and Storage. Now jobs directly link to servers and storage. This change simplifies e-footprint\u2019s object structure and removes the ambiguity surrounding the term Service.</li> </ul>"},{"location":"Changelog/#400-2024-09-11","title":"[4.0.0] 2024-09-11","text":""},{"location":"Changelog/#changed","title":"Changed","text":"<ul> <li>Major update: usage is now described as hourly number of user journey starts. This allows for a chronological modeling and later will allow simulation of changes in the future.</li> <li>Server electricity consumption now depends on server load.</li> </ul>"},{"location":"Changelog/#300-2024-07-29","title":"[3.0.0] 2024-07-29","text":""},{"location":"Changelog/#changed_1","title":"Changed","text":"<ul> <li>Suppress DevicePopulation object and transfer its functions to UsagePattern for simplification of object structure. This change removes an ambiguity around the notion of visits and number of devices: by removing the notion of devices and users from the model, only user journey frequency is kept and there remains no confusion possible between user journey frequency and user journey frequency per user (which has disappeared).</li> <li>Minor import order refactoring to comply better with PEP8 guidelines.</li> </ul>"},{"location":"Changelog/#added","title":"Added","text":"<ul> <li>Content in the documentation.</li> </ul>"},{"location":"Changelog/#216-2024-06-13","title":"[2.1.6] 2024-06-13","text":""},{"location":"Changelog/#fixed","title":"Fixed","text":"<ul> <li>Force ModelingObject and ExplainableObject ids to start with a letter and not contain backslashes.</li> </ul>"},{"location":"Changelog/#215-2024-06-06","title":"[2.1.5] 2024-06-06","text":""},{"location":"Changelog/#fixed_1","title":"Fixed","text":"<ul> <li>Make ModelingObject and ExplainableObject ids css escaped.</li> </ul>"},{"location":"Changelog/#214-2024-05-17","title":"[2.1.4] 2024-05-17","text":""},{"location":"Changelog/#fixed_2","title":"Fixed","text":"<ul> <li>System footprints by category and object graph legend aligns to the right if server impact is bigger than devices impact</li> </ul>"},{"location":"Changelog/#213-2024-05-16","title":"[2.1.3] 2024-05-16","text":""},{"location":"Changelog/#changed_2","title":"Changed","text":"<ul> <li>Don\u2019t round up the number of users in parallel as it creates very wrong results when there are few users in parallel.</li> </ul>"},{"location":"Changelog/#212-2024-05-16","title":"[2.1.2] 2024-05-16","text":""},{"location":"Changelog/#fixed_3","title":"Fixed","text":"<ul> <li>\"ton\" unit to \"tonne\" because in Pint a ton is equal to 2000 pounds and not 1000 kg.</li> </ul>"},{"location":"Changelog/#211-2024-05-16","title":"[2.1.1] 2024-05-16","text":""},{"location":"Changelog/#fixed_4","title":"Fixed","text":"<ul> <li>Remove useless title parameter from EmissionPlotter class.</li> </ul>"},{"location":"Changelog/#210-2024-05-15","title":"[2.1.0] - 2024-05-15","text":""},{"location":"Changelog/#added_1","title":"Added","text":"<ul> <li>Possibility to export raw html in plot_footprints_by_category_and_object System method.</li> <li>Possibility to resize plot_footprints_by_category_and_object output\u2019s graph.</li> </ul>"},{"location":"Changelog/#changed_3","title":"Changed","text":"<ul> <li>Improve emission diffs graph and harmonize its colors and legend with the plot_footprints_by_category_and_object graph.</li> </ul>"},{"location":"Changelog/#205-2024-04-16","title":"[2.0.5] - 2024-04-16","text":""},{"location":"Changelog/#fixed_5","title":"Fixed","text":"<ul> <li>In function json_to_system make sure that System ids don\u2019t change at system loading time.</li> </ul>"},{"location":"Changelog/#204-2024-04-16","title":"[2.0.4] - 2024-04-16","text":""},{"location":"Changelog/#fixed_6","title":"Fixed","text":"<ul> <li>In function json_to_system make recompute Systems by using their init and after_init methods to make sure that all their internal variables are initialized.</li> </ul>"},{"location":"Changelog/#203-2024-04-15","title":"[2.0.3] - 2024-04-15","text":""},{"location":"Changelog/#fixed_7","title":"Fixed","text":"<ul> <li>In function json_to_system make sure that all objects unlinked to a system compute their calculated attributes, and not only Services.</li> </ul>"},{"location":"Changelog/#202-2024-04-15","title":"[2.0.2] - 2024-04-15","text":""},{"location":"Changelog/#fixed_8","title":"Fixed","text":"<ul> <li>Loading of system from json when there is a service that is not linked to a usage pattern (case when a service is installed on a server but doesn\u2019t receive requests).</li> </ul>"},{"location":"Changelog/#201-2024-04-12","title":"[2.0.1] - 2024-04-12","text":""},{"location":"Changelog/#fixed_9","title":"Fixed","text":"<ul> <li>Setup of previous attribute value for lists at e-footprint object initiation when using the json_to_system function, so that recomputation works fine when list attributes are updated.</li> </ul>"},{"location":"Changelog/#200-2024-04-06","title":"[2.0.0] - 2024-04-06","text":""},{"location":"Changelog/#added_2","title":"Added","text":"<ul> <li>Job object for the encapsulation of request information, to introduce the possibility to have multiple request to services for a single user journey step.</li> <li>Job builders from Boavizta\u2019s ecobenchmark data</li> </ul>"},{"location":"Changelog/#132-2024-03-20","title":"[1.3.2] - 2024-03-20","text":""},{"location":"Changelog/#added_3","title":"Added","text":"<ul> <li>Characterics of objects are now displayed when hovering over a node in an object relationship graph (to create such a graph use the object_relationship_graph_to_file method of the ModelingObject class).</li> </ul>"},{"location":"Changelog/#131-2024-03-16","title":"[1.3.1] - 2024-03-16","text":""},{"location":"Changelog/#fixed_10","title":"Fixed","text":"<ul> <li>set modeling obj container of ExplainableObjects created through json_to_system function so that accessing their id property doesn\u2019t trigger a ValueError because of a null modeling_obj_container.</li> <li>Fixed ExplainableObject\u2019s set_label method so that it doesn\u2019t duplicate \"from source.name\" when reconstructing the object with the json_to_system function.</li> </ul>"},{"location":"Changelog/#130-2024-03-15","title":"[1.3.0] - 2024-03-15","text":""},{"location":"Changelog/#added_4","title":"Added","text":"<ul> <li>plot_emission_diffs method to System for easy analysis of System changes.</li> <li>Tutorial to documentation.</li> <li>System changes analysis in tutorial.</li> </ul>"},{"location":"Changelog/#122-2024-03-08","title":"[1.2.2] - 2024-03-08","text":""},{"location":"Changelog/#added_5","title":"Added","text":"<ul> <li>notebook parameter in object and calculus graph generation functions + set cdn_resources=in_line in pyvis Network objects to silence jupyter warning</li> <li>to_json, repr and str methods in ExplainableObject subclasses and ModelingObject.</li> </ul>"},{"location":"Changelog/#changed_4","title":"Changed","text":"<ul> <li>quickstart as jupyter notebook</li> </ul>"},{"location":"Changelog/#121-2024-02-29","title":"[1.2.1] - 2024-02-29","text":""},{"location":"Changelog/#added_6","title":"Added","text":""},{"location":"Changelog/#changed_5","title":"Changed","text":""},{"location":"Changelog/#fixed_11","title":"Fixed","text":"<ul> <li>Possibility to use fixed_nb_of_instances with the on_premise_server_from_config builder.</li> </ul>"},{"location":"Changelog/#120-2024-02-29","title":"[1.2.0] - 2024-02-29","text":""},{"location":"Changelog/#added_7","title":"Added","text":"<ul> <li>Possibility to specify the fixed number of on premise instances through the fixed_nb_of_instances attribute</li> <li>Doc generation logic with mkdocs. Here is the link to the e-footprint documentation.</li> </ul>"},{"location":"Changelog/#changed_6","title":"Changed","text":""},{"location":"Changelog/#fixed_12","title":"Fixed","text":"<ul> <li>File paths in graphs generating functions</li> </ul>"},{"location":"Changelog/#119-2024-02-12","title":"[1.1.9] - 2024-02-12","text":""},{"location":"Changelog/#added_8","title":"Added","text":"<ul> <li>system_to_json and json_to_system functions in api_utils package in order to be able to save a system as json file and then load it and run computations. Saving of intermediate calculations will be implemented in another release.</li> </ul>"},{"location":"Changelog/#changed_7","title":"Changed","text":"<ul> <li>calculated_attributes are now a property method instead of an attribute, to facilitate system to json and json to system flow.</li> <li>calculated attributes of System class are now properties for a more coherent syntax.</li> <li>Countries class is now made of country generator objects to avoid unwanted link between systems that would share a common country.</li> <li>System now inherits from ModelingObject</li> </ul>"},{"location":"Changelog/#118-2024-02-02","title":"[1.1.8] - 2024-02-02","text":""},{"location":"Changelog/#added_9","title":"Added","text":"<ul> <li>calculus_graph_to_file function in ExplainableObject to more easily create calculus graphs</li> <li>object_relationship_graph_to_file function in ModelingObject to more easily create object relationship graphs</li> <li>Generic self_delete method for ModelingObjects</li> </ul>"},{"location":"Changelog/#changed_8","title":"Changed","text":"<ul> <li>System now inherits from ModelingObject</li> </ul>"},{"location":"Changelog/#117-2024-01-29","title":"[1.1.7] - 2024-01-29","text":""},{"location":"Changelog/#added_10","title":"Added","text":""},{"location":"Changelog/#changed_9","title":"Changed","text":"<ul> <li>Put ModelingObject list update logic in ModelingObject setattr method</li> <li>Name server CPU capacity cpu_cores instead of nb_of_cpus to make it clearer</li> </ul>"},{"location":"Changelog/#fixed_13","title":"Fixed","text":"<ul> <li>Set input attribute label at attribute setting time and not after. Avoids a bug when the input attribute of a ModelingObject is the result of a calculation and hence has no label.</li> </ul>"},{"location":"Changelog/#116-2024-01-29","title":"[1.1.6] - 2024-01-29","text":""},{"location":"Changelog/#added_11","title":"Added","text":""},{"location":"Changelog/#changed_10","title":"Changed","text":"<ul> <li>Put all the naming logic that was in SourceValue and SourceObject classes into ExplainableObject</li> </ul>"},{"location":"Changelog/#fixed_14","title":"Fixed","text":"<ul> <li>Boaviztapi server builders to accommodate for Boaviztapi update. </li> </ul>"},{"location":"Changelog/#115-2024-01-18","title":"[1.1.5] - 2024-01-18","text":""},{"location":"Changelog/#added_12","title":"Added","text":"<ul> <li>plot_footprints_by_category_and_object method to the System object, to display the CO2 emission breakdown by object type (server, storage, network, end user devices), emission types (from electricity and from fabrication), and by objects within object types (for example, the share of each server within the servers).</li> <li>Default object builders that return a new object each time.</li> <li>Server builders based on the Boavizta API.</li> </ul>"},{"location":"Changelog/#changed_11","title":"Changed","text":"<ul> <li>Suppress the notion of server_ram_per_data_transferred to simply directly specify the ram_needed for UserJourneyStep objects.</li> <li>More explicity quickstart with all attributes explicitely named and set.</li> </ul>"},{"location":"Changelog/#fixed_15","title":"Fixed","text":""},{"location":"Changelog/#114-2023-11-13","title":"[1.1.4] - 2023-11-13","text":""},{"location":"Changelog/#added_13","title":"Added","text":""},{"location":"Changelog/#changed_12","title":"Changed","text":""},{"location":"Changelog/#fixed_16","title":"Fixed","text":"<ul> <li>Don\u2019t write logs to file by default to avoid unnecessary storage usage + be compliant with Streamlit Cloud security.</li> </ul>"},{"location":"Changelog/#113-2023-11-13","title":"[1.1.3] - 2023-11-13","text":""},{"location":"Changelog/#added_14","title":"Added","text":""},{"location":"Changelog/#changed_13","title":"Changed","text":""},{"location":"Changelog/#fixed_17","title":"Fixed","text":"<ul> <li>Put data folder (for logs) inside module and set default log level to INFO.</li> </ul>"},{"location":"Changelog/#112-2023-11-10","title":"[1.1.2] - 2023-11-10","text":""},{"location":"Changelog/#added_15","title":"Added","text":"<ul> <li>Missing tests.</li> <li>Optimisations that can lead to 10x+ improvements in complex systems initiation speed.</li> </ul>"},{"location":"Changelog/#changed_14","title":"Changed","text":"<ul> <li>Clarification of vocabulary in ExplainableObject class: an ExplainableObject now links to its children, to follow a genealogical logic.</li> <li>Graph colors for more color blindness friendliness. Reach out if this is still unsatisfactory !</li> </ul>"},{"location":"Changelog/#fixed_18","title":"Fixed","text":"<ul> <li>Object link recomputation logic: the launch_attributes_computation_chain function in the ModelingObject class now allows for a breadth first exploration of the object link graph to recompute object attributes in the right order. </li> </ul>"},{"location":"Changelog/#111-2023-11-03","title":"[1.1.1] - 2023-11-03","text":""},{"location":"Changelog/#added_16","title":"Added","text":""},{"location":"Changelog/#changed_15","title":"Changed","text":""},{"location":"Changelog/#fixed_19","title":"Fixed","text":"<ul> <li>Possibility to have a null service as input for user journey steps (in cases when the user simply uses the device without any service call).</li> <li>UserJourney\u2019s add_step method didn\u2019t trigger setattr because of the use of the self.uj_steps.append(new_step) syntax, and hence didn\u2019t trigger the appropriate recomputation logic. Fixed by replacing it with the self.uj_steps = self.uj_steps + [new_step] syntax.</li> <li>graph_tools module doesn\u2019t depend any more on special selenium screenshot functions that are only used during development. Such functions have been moved to the dev_utils package that only contains modules not used in the project because they are work in progress or dev helper functions.</li> <li>Fixed the convert_to_utc_test that had broken because of time change  </li> </ul>"},{"location":"Changelog/#110-2023-10-26","title":"[1.1.0] - 2023-10-26","text":"<p>State of project at time of open sourcing.</p>"},{"location":"Changelog/#added_17","title":"Added","text":"<p>Full optimization of recomputation whenever an input or object relationship changes.</p>"},{"location":"Country/","title":"Country","text":""},{"location":"Country/#params","title":"Params","text":""},{"location":"Country/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Country/#short_name","title":"short_name","text":"<p>description to be done</p>"},{"location":"Country/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of devices country in gram / kilowatt_hour.</p>"},{"location":"Country/#year","title":"year","text":"<p>description to be done</p>"},{"location":"Country/#timezone","title":"timezone","text":"<p>description to be done</p>"},{"location":"Country/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Country/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Hardware/","title":"Hardware","text":""},{"location":"Hardware/#params","title":"Params","text":""},{"location":"Hardware/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Hardware/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of device on which the user journey is made in kilogram.</p>"},{"location":"Hardware/#power","title":"power","text":"<p>power of device on which the user journey is made in watt.</p>"},{"location":"Hardware/#lifespan","title":"lifespan","text":"<p>lifespan of device on which the user journey is made in year.</p>"},{"location":"Hardware/#fraction_of_usage_time","title":"fraction_of_usage_time","text":"<p>device on which the user journey is made fraction of usage time in hour / day.</p>"},{"location":"Hardware/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Hardware/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Job/","title":"Job","text":""},{"location":"Job/#params","title":"Params","text":""},{"location":"Job/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Job/#server","title":"server","text":"<p>An instance of Autoscaling.</p>"},{"location":"Job/#storage","title":"storage","text":"<p>An instance of Storage.</p>"},{"location":"Job/#data_upload","title":"data_upload","text":"<p>data upload of request streaming in megabyte.</p>"},{"location":"Job/#data_download","title":"data_download","text":"<p>data download of request streaming in megabyte.</p>"},{"location":"Job/#data_stored","title":"data_stored","text":"<p>data stored by request streaming in megabyte.</p>"},{"location":"Job/#request_duration","title":"request_duration","text":"<p>request duration of streaming to server in hour.</p>"},{"location":"Job/#cpu_needed","title":"cpu_needed","text":"<p>cpu needed on server server to process streaming in core.</p>"},{"location":"Job/#ram_needed","title":"ram_needed","text":"<p>ram needed on server server to process streaming in megabyte.</p>"},{"location":"Job/#job_type","title":"job_type","text":"<p>description to be done</p>"},{"location":"Job/#description","title":"description","text":"<p>description to be done</p>"},{"location":"Job/#backwards-links","title":"Backwards links","text":"<ul> <li>UserJourneyStep</li> </ul>"},{"location":"Job/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Job/#hourly_occurrences_per_usage_pattern","title":"hourly_occurrences_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly streaming occurrences in usage pattern as values, in dimensionless.  </p> <p>Example value: { id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],     last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8],  }  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern UTC </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming occurrences in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_avg_occurrences_per_usage_pattern","title":"hourly_avg_occurrences_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          average hourly streaming occurrences in usage pattern as values, in dimensionless.  </p> <p>Example value: { id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],     last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Request duration of streaming to server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Average hourly streaming occurrences in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_upload_per_usage_pattern","title":"hourly_data_upload_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data upload for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],     last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data upload of request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data upload for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_download_per_usage_pattern","title":"hourly_data_download_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data download for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [800.0, 4000.0, 800.0, 5600.0, 7200.0, 3200.0, 1600.0, 4800.0, 7200.0, 2400.0],     last 10 vals [2400.0, 4800.0, 5600.0, 2400.0, 1600.0, 1600.0, 4800.0, 800.0, 3200.0, 6400.0],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data download of request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data download for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_stored_per_usage_pattern","title":"hourly_data_stored_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data stored for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-136ba5-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],     last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data stored by request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data stored for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_occurrences_across_usage_patterns","title":"hourly_occurrences_across_usage_patterns","text":"<p>hourly streaming occurrences across usage patterns in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],     last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming occurrences across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_avg_occurrences_across_usage_patterns","title":"hourly_avg_occurrences_across_usage_patterns","text":"<p>hourly streaming average occurrences across usage patterns in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],     last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p> <p>Depends directly on:  </p> <ul> <li>Average hourly streaming occurrences in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming average occurrences across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_upload_across_usage_patterns","title":"hourly_data_upload_across_usage_patterns","text":"<p>hourly streaming data upload across usage patterns in megabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],     last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data upload for streaming in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming data upload across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_stored_across_usage_patterns","title":"hourly_data_stored_across_usage_patterns","text":"<p>hourly streaming data upload across usage patterns in megabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.05, 0.25, 0.05, 0.35, 0.45, 0.2, 0.1, 0.3, 0.45, 0.15],     last 10 vals [0.15, 0.3, 0.35, 0.15, 0.1, 0.1, 0.3, 0.05, 0.2, 0.4]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data stored for streaming in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming data upload across usage patterns\u2019s full calculation graph.</p>"},{"location":"Network/","title":"Network","text":""},{"location":"Network/#params","title":"Params","text":""},{"location":"Network/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Network/#bandwidth_energy_intensity","title":"bandwidth_energy_intensity","text":"<p>bandwith energy intensity of network in kilowatt_hour / gigabyte.</p>"},{"location":"Network/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Network/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Network/#energy_footprint","title":"energy_footprint","text":"<p>hourly network energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data upload for streaming in usage pattern</li> <li>Hourly data download for streaming in usage pattern</li> <li>bandwith energy intensity of network</li> <li>Average carbon intensity of devices country </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly network energy footprint\u2019s full calculation graph.</p>"},{"location":"OnPremise/","title":"OnPremise","text":""},{"location":"OnPremise/#params","title":"Params","text":""},{"location":"OnPremise/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"OnPremise/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of on premise server in kilogram.</p>"},{"location":"OnPremise/#power","title":"power","text":"<p>power of on premise server in watt.</p>"},{"location":"OnPremise/#lifespan","title":"lifespan","text":"<p>lifespan of on premise server in year.</p>"},{"location":"OnPremise/#idle_power","title":"idle_power","text":"<p>idle power of on premise server in watt.</p>"},{"location":"OnPremise/#ram","title":"ram","text":"<p>ram of on premise server in gigabyte.</p>"},{"location":"OnPremise/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of on premise server in core.</p>"},{"location":"OnPremise/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of on premise server in dimensionless.</p>"},{"location":"OnPremise/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of on premise server electricity in gram / kilowatt_hour.</p>"},{"location":"OnPremise/#server_utilization_rate","title":"server_utilization_rate","text":"<p>on premise server utilization rate in dimensionless.</p>"},{"location":"OnPremise/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of on premise server in megabyte.</p>"},{"location":"OnPremise/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of on premise server in core.</p>"},{"location":"OnPremise/#fixed_nb_of_instances","title":"fixed_nb_of_instances","text":"<p>user defined number of on premise server instances in dimensionless.</p>"},{"location":"OnPremise/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"OnPremise/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"OnPremise/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>on premise server hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],     last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to on premise server hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"OnPremise/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>on premise server hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to on premise server hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"OnPremise/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per on premise server instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of on premise server</li> <li>on premise server utilization rate</li> <li>Base RAM consumption of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per on premise server instance\u2019s full calculation graph.</p>"},{"location":"OnPremise/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per on premise server instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of on premise server</li> <li>on premise server utilization rate</li> <li>Base CPU consumption of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per on premise server instance\u2019s full calculation graph.</p>"},{"location":"OnPremise/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of on premise server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>on premise server hour by hour ram need</li> <li>Available RAM per on premise server instance</li> <li>on premise server hour by hour cpu need</li> <li>Available CPU per on premise server instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#nb_of_instances","title":"nb_of_instances","text":"<p>fixed number of on premise server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],     last 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of on premise server instances</li> <li>User defined number of on premise server instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Fixed number of on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly on premise server instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63],     last 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63]  </p> <p>Depends directly on:  </p> <ul> <li>Fixed number of on premise server instances</li> <li>Carbon footprint fabrication of on premise server</li> <li>Lifespan of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly on premise server instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"OnPremise/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by on premise server instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [240.0, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01, 240.01, 240.0],     last 10 vals [240.0, 240.01, 240.01, 240.0, 240.0, 240.0, 240.01, 240.0, 240.0, 240.01]  </p> <p>Depends directly on:  </p> <ul> <li>Fixed number of on premise server instances</li> <li>Idle power of on premise server</li> <li>PUE of on premise server</li> <li>Hourly raw number of on premise server instances</li> <li>Power of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#energy_footprint","title":"energy_footprint","text":"<p>hourly on premise server energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],     last 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by on premise server instances</li> <li>Average carbon intensity of on premise server electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly on premise server energy footprint\u2019s full calculation graph.</p>"},{"location":"Serverless/","title":"Serverless","text":""},{"location":"Serverless/#params","title":"Params","text":""},{"location":"Serverless/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Serverless/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of serverless in kilogram.</p>"},{"location":"Serverless/#power","title":"power","text":"<p>power of serverless in watt.</p>"},{"location":"Serverless/#lifespan","title":"lifespan","text":"<p>lifespan of serverless in year.</p>"},{"location":"Serverless/#idle_power","title":"idle_power","text":"<p>idle power of serverless in watt.</p>"},{"location":"Serverless/#ram","title":"ram","text":"<p>ram of serverless in gigabyte.</p>"},{"location":"Serverless/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of serverless in core.</p>"},{"location":"Serverless/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of serverless in dimensionless.</p>"},{"location":"Serverless/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of serverless electricity in gram / kilowatt_hour.</p>"},{"location":"Serverless/#server_utilization_rate","title":"server_utilization_rate","text":"<p>serverless utilization rate in dimensionless.</p>"},{"location":"Serverless/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of serverless in megabyte.</p>"},{"location":"Serverless/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of serverless in core.</p>"},{"location":"Serverless/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Serverless/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Serverless/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>serverless hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.07, 0.33, 0.07, 0.47, 0.6, 0.27, 0.13, 0.4, 0.6, 0.2],     last 10 vals [0.2, 0.4, 0.47, 0.2, 0.13, 0.13, 0.4, 0.07, 0.27, 0.53]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to serverless hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"Serverless/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>serverless hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to serverless hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"Serverless/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per serverless instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of serverless</li> <li>serverless utilization rate</li> <li>Base RAM consumption of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per serverless instance\u2019s full calculation graph.</p>"},{"location":"Serverless/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per serverless instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of serverless</li> <li>serverless utilization rate</li> <li>Base CPU consumption of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per serverless instance\u2019s full calculation graph.</p>"},{"location":"Serverless/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of serverless instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>serverless hour by hour ram need</li> <li>Available RAM per serverless instance</li> <li>serverless hour by hour cpu need</li> <li>Available CPU per serverless instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of serverless instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of serverless instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly serverless instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of serverless instances</li> <li>Carbon footprint fabrication of serverless</li> <li>Lifespan of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly serverless instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Serverless/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by serverless instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.01, 0.0],     last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of serverless instances</li> <li>Idle power of serverless</li> <li>PUE of serverless</li> <li>Hourly raw number of serverless instances</li> <li>Power of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#energy_footprint","title":"energy_footprint","text":"<p>hourly serverless energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by serverless instances</li> <li>Average carbon intensity of serverless electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly serverless energy footprint\u2019s full calculation graph.</p>"},{"location":"Storage/","title":"Storage","text":""},{"location":"Storage/#params","title":"Params","text":""},{"location":"Storage/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Storage/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of storage in kilogram.</p>"},{"location":"Storage/#power","title":"power","text":"<p>power of storage in watt.</p>"},{"location":"Storage/#lifespan","title":"lifespan","text":"<p>lifespan of storage in year.</p>"},{"location":"Storage/#idle_power","title":"idle_power","text":"<p>idle power of storage in watt.</p>"},{"location":"Storage/#storage_capacity","title":"storage_capacity","text":"<p>storage capacity of storage in terabyte.</p>"},{"location":"Storage/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of storage in dimensionless.</p>"},{"location":"Storage/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of storage electricity in gram / kilowatt_hour.</p>"},{"location":"Storage/#data_replication_factor","title":"data_replication_factor","text":"<p>data replication factor of storage in dimensionless.</p>"},{"location":"Storage/#data_storage_duration","title":"data_storage_duration","text":"<p>data storage duration of storage in hour.</p>"},{"location":"Storage/#base_storage_need","title":"base_storage_need","text":"<p>storage initial storage need in terabyte.</p>"},{"location":"Storage/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Storage/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Storage/#storage_needed","title":"storage_needed","text":"<p>hourly storage storage need in terabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming data upload across usage patterns</li> <li>Data replication factor of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage storage need\u2019s full calculation graph.</p>"},{"location":"Storage/#storage_dumps","title":"storage_dumps","text":"<p>storage dumps for storage in terabyte.  </p> <p>Example value: 8749 values from 2027-01-01 10:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0],     last 10 vals [-0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly storage storage need</li> <li>Data storage duration of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Storage dumps for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#storage_delta","title":"storage_delta","text":"<p>hourly storage delta for storage in terabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [-0.0, 0.0, 0.0, 0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly storage storage need</li> <li>Storage dumps for storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage delta for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#full_cumulative_storage_need","title":"full_cumulative_storage_need","text":"<p>full cumulative storage need for storage in terabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly storage delta for storage</li> <li>storage initial storage need </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Full cumulative storage need for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#nb_of_active_instances","title":"nb_of_active_instances","text":"<p>hourly number of active instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly storage delta for storage</li> <li>Storage dumps for storage</li> <li>Storage capacity of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of active instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Full cumulative storage need for storage</li> <li>Storage capacity of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],     last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of instances for storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly storage instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of instances for storage</li> <li>Carbon footprint fabrication of storage</li> <li>Lifespan of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Storage/#instances_energy","title":"instances_energy","text":"<p>storage energy for storage in hour * watt.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of active instances for storage</li> <li>Power of storage</li> <li>PUE of storage</li> <li>Hourly number of instances for storage</li> <li>Idle power of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Storage energy for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#energy_footprint","title":"energy_footprint","text":"<p>hourly storage energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Storage energy for storage</li> <li>Average carbon intensity of storage electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage energy footprint\u2019s full calculation graph.</p>"},{"location":"System/","title":"System","text":""},{"location":"System/#params","title":"Params","text":""},{"location":"System/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"System/#usage_patterns","title":"usage_patterns","text":"<p>A list of UsagePatterns.</p>"},{"location":"System/#backwards-links","title":"Backwards links","text":""},{"location":"System/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UsagePattern/","title":"UsagePattern","text":""},{"location":"UsagePattern/#params","title":"Params","text":""},{"location":"UsagePattern/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UsagePattern/#user_journey","title":"user_journey","text":"<p>An instance of UserJourney.</p>"},{"location":"UsagePattern/#devices","title":"devices","text":"<p>A list of Hardwares.</p>"},{"location":"UsagePattern/#network","title":"network","text":"<p>An instance of Network.</p>"},{"location":"UsagePattern/#country","title":"country","text":"<p>An instance of Country.</p>"},{"location":"UsagePattern/#hourly_user_journey_starts","title":"hourly_user_journey_starts","text":"<p>description to be done</p>"},{"location":"UsagePattern/#backwards-links","title":"Backwards links","text":"<ul> <li>System</li> </ul>"},{"location":"UsagePattern/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UsagePattern/#utc_hourly_user_journey_starts","title":"utc_hourly_user_journey_starts","text":"<p>usage pattern utc in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1, 5, 1, 7, 9, 4, 2, 6, 9, 3],     last 10 vals [3, 6, 7, 3, 2, 2, 6, 1, 4, 8]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of visits from hypothesis</li> <li>devices country timezone from user data </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern UTC\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#nb_user_journeys_in_parallel","title":"nb_user_journeys_in_parallel","text":"<p>usage pattern hourly nb of user journeys in parallel in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.33, 1.67, 0.33, 2.33, 3.0, 1.33, 0.67, 2.0, 3.0, 1.0],     last 10 vals [1.0, 2.0, 2.33, 1.0, 0.67, 0.67, 2.0, 0.33, 1.33, 2.67]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern UTC</li> <li>Duration of user journey </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern hourly nb of user journeys in parallel\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_energy","title":"devices_energy","text":"<p>energy consumed by usage pattern devices in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.02, 0.08, 0.02, 0.12, 0.15, 0.07, 0.03, 0.1, 0.15, 0.05],     last 10 vals [0.05, 0.1, 0.12, 0.05, 0.03, 0.03, 0.1, 0.02, 0.07, 0.13]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of user journeys in parallel</li> <li>Power of device on which the user journey is made </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Energy consumed by usage pattern devices\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_energy_footprint","title":"devices_energy_footprint","text":"<p>energy footprint of usage pattern in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],     last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Energy consumed by usage pattern devices</li> <li>Average carbon intensity of devices country </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Energy footprint of usage pattern\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_fabrication_footprint","title":"devices_fabrication_footprint","text":"<p>devices fabrication footprint of usage pattern in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of user journeys in parallel</li> <li>Carbon footprint fabrication of device on which the user journey is made</li> <li>Lifespan of device on which the user journey is made</li> <li>device on which the user journey is made fraction of usage time </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Devices fabrication footprint of usage pattern\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#energy_footprint","title":"energy_footprint","text":"<p>usage pattern total energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.01, 0.0, 0.01, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0],     last 10 vals [0.0, 0.01, 0.01, 0.0, 0.0, 0.0, 0.01, 0.0, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Energy footprint of usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern total energy footprint\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>usage pattern total fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.02, 0.0, 0.02, 0.03, 0.01, 0.01, 0.02, 0.03, 0.01],     last 10 vals [0.01, 0.02, 0.02, 0.01, 0.01, 0.01, 0.02, 0.0, 0.01, 0.03]  </p> <p>Depends directly on:  </p> <ul> <li>Devices fabrication footprint of usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern total fabrication footprint\u2019s full calculation graph.</p>"},{"location":"UserJourney/","title":"UserJourney","text":""},{"location":"UserJourney/#params","title":"Params","text":""},{"location":"UserJourney/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UserJourney/#uj_steps","title":"uj_steps","text":"<p>A list of UserJourneySteps.</p>"},{"location":"UserJourney/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"UserJourney/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UserJourney/#duration","title":"duration","text":"<p>ExplainableQuantity in hour, representing the duration of user journey.  </p> <p>Example value: 0.33 hour  </p> <p>Depends directly on:  </p> <ul> <li>Time spent on step 20 min streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Duration of user journey\u2019s full calculation graph.</p>"},{"location":"UserJourneyStep/","title":"UserJourneyStep","text":""},{"location":"UserJourneyStep/#params","title":"Params","text":""},{"location":"UserJourneyStep/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UserJourneyStep/#user_time_spent","title":"user_time_spent","text":"<p>time spent on step 20 min streaming in minute.</p>"},{"location":"UserJourneyStep/#jobs","title":"jobs","text":"<p>A list of Jobs.</p>"},{"location":"UserJourneyStep/#backwards-links","title":"Backwards links","text":"<ul> <li>UserJourney</li> </ul>"},{"location":"UserJourneyStep/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"best_practices/","title":"What about best practices ?","text":"<p>Best practices shine best when the systems they apply to have little variability. We\u2019ve seen in the Why e-footprint ? article that digital services are highly variable, so starting with a list of best practices to apply puts us at risk of spending efforts on actions that have very little leverage. This doesn\u2019t mean that best practices are useless; rather, they should come in as a resource after a modeling has show where to act.</p>"},{"location":"build_process/","title":"What about the build process of the service ?","text":"<p>Work in progress</p>"},{"location":"builders/","title":"e-footprint builders","text":"<p>e-footprint builders are higher-level functions that allows for the creation of e-footprint objects from fewer parameters than the raw model requires.</p>"},{"location":"builders/#default-builders","title":"Default builders","text":""},{"location":"builders/#devices","title":"Devices","text":"<pre><code>from efootprint.builders.hardware.devices_defaults import default_smartphone, default_laptop, default_box, default_screen\n</code></pre> <pre><code>print(default_smartphone())\n</code></pre> <pre><code>Hardware id-2e0de8-Default-smartphone\n\ncarbon_footprint_fabrication: 30 kilogram\npower: 1 watt\nlifespan: 3 year\nfraction_of_usage_time: 3.6 hour / day\n</code></pre> <pre><code>print(default_laptop())\n</code></pre> <pre><code>Hardware id-a3b759-Default-laptop\n\ncarbon_footprint_fabrication: 156 kilogram\npower: 50 watt\nlifespan: 6 year\nfraction_of_usage_time: 7.0 hour / day\n</code></pre> <pre><code>print(default_box())\n</code></pre> <pre><code>Hardware id-9b4492-Default-box\n\ncarbon_footprint_fabrication: 78 kilogram\npower: 10 watt\nlifespan: 6 year\nfraction_of_usage_time: 24.0 hour / day\n</code></pre> <pre><code>print(default_screen())\n</code></pre> <pre><code>Hardware id-660056-Default-screen\n\ncarbon_footprint_fabrication: 222 kilogram\npower: 30 watt\nlifespan: 6 year\nfraction_of_usage_time: 7.0 hour / day\n</code></pre>"},{"location":"builders/#network","title":"Network","text":"<pre><code>from efootprint.builders.hardware.network_defaults import default_mobile_network, default_wifi_network\n</code></pre> <pre><code>print(default_mobile_network())\n</code></pre> <pre><code>Network id-5dcfe6-Default-mobile-network\n\nbandwidth_energy_intensity: 0.12 kilowatt_hour / gigabyte\n\ncalculated_attributes:\n  energy_footprint: None\n</code></pre> <pre><code>print(default_wifi_network())\n</code></pre> <pre><code>Network id-3cfdaa-Default-wifi-network\n\nbandwidth_energy_intensity: 0.05 kilowatt_hour / gigabyte\n\ncalculated_attributes:\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#servers","title":"Servers","text":"<p>Different server types have same default attributes but their calculated attributes logic will be different.</p> <pre><code>from efootprint.builders.hardware.servers_defaults import default_autoscaling, default_serverless, default_onpremise\n</code></pre> <pre><code>print(default_autoscaling())\n</code></pre> <pre><code>Autoscaling id-ff50c6-Default-autoscaling\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_serverless())\n</code></pre> <pre><code>Serverless id-e59887-Default-serverless\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_onpremise())\n</code></pre> <pre><code>OnPremise id-5873b3-Default-on-premise\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\nfixed_nb_of_instances: None\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#storage","title":"Storage","text":"<pre><code>from efootprint.builders.hardware.storage_defaults import default_hdd, default_ssd\n</code></pre> <pre><code>print(default_hdd())\n</code></pre> <pre><code>Storage id-05a8db-Default-HDD-storage\n\ncarbon_footprint_fabrication: 20 kilogram\npower: 4.2 watt\nlifespan: 4 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_needed: None\n  storage_dumps: None\n  storage_delta: None\n  full_cumulative_storage_need: None\n  nb_of_active_instances: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_ssd())\n</code></pre> <pre><code>Storage id-e8fffc-Default-SSD-storage\n\ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_needed: None\n  storage_dumps: None\n  storage_delta: None\n  full_cumulative_storage_need: None\n  nb_of_active_instances: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#overwriting-default-builders-attributes","title":"Overwriting default builders attributes","text":"<p>Any default builder attribute can be overwritten, for example:</p> <pre><code>from efootprint.abstract_modeling_classes.source_objects import SourceValue\nfrom efootprint.constants.units import u\n\nprint(default_ssd(\"My custom default SSD with higher carbon intensity\", average_carbon_intensity=SourceValue(300 * u.g / u.kWh)))\n</code></pre> <pre><code>Storage id-a109f9-My-custom-default-SSD-with-higher-carbon-intensity\n\ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 300.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_needed: None\n  storage_dumps: None\n  storage_delta: None\n  full_cumulative_storage_need: None\n  nb_of_active_instances: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#boaviztapi-builders","title":"BoaviztAPI builders","text":"<p>These builders make use of Boavizta\u2019s API to create objects with their full technical characteristics from fewer information like server name and cloud provider.</p>"},{"location":"builders/#boaviztapi-server-builders","title":"BoaviztAPI server builders","text":""},{"location":"builders/#cloud-server-from-cloud-provider-and-server-name","title":"Cloud server from cloud provider and server name","text":"<pre><code>from efootprint.builders.hardware.servers_boaviztapi import get_cloud_server\n</code></pre> <pre><code>print(get_cloud_server(\"aws\", \"m5.xlarge\", SourceValue(100 * u.g / u.kWh)))\n</code></pre> <pre><code>Autoscaling id-5b7168-aws-m52exlarge-instances\n\ncarbon_footprint_fabrication: 48.0 kilogram\npower: 25.94 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 0 watt\nram: 384.0 gigabyte\ncpu_cores: 48.0 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code># The server type can be changed, as well as lifespan, idle_power, power_usage_effectiveness and server_utilization_rate\nfrom efootprint.core.hardware.servers.serverless import Serverless\n\nprint(get_cloud_server(\n    \"aws\", \"m5.xlarge\", SourceValue(100 * u.g / u.kWh), base_efootprint_class=Serverless, lifespan=SourceValue(7 * u.year)))\n</code></pre> <pre><code>Serverless id-40e5ce-aws-m52exlarge-instances\n\ncarbon_footprint_fabrication: 48.0 kilogram\npower: 25.94 watt\nlifespan: 7 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 0 watt\nram: 384.0 gigabyte\ncpu_cores: 48.0 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#on-premise-server-from-config","title":"On premise server from config","text":"<pre><code>from efootprint.builders.hardware.servers_boaviztapi import on_premise_server_from_config\n</code></pre> <pre><code>print(on_premise_server_from_config(\n    \"My server\", nb_of_cpu_units=2, nb_of_cores_per_cpu_unit=24,nb_of_ram_units=6,\n    ram_quantity_per_unit_in_gb=16, average_carbon_intensity=SourceValue(100 * u.g / u.kWh),base_ram_consumption=SourceValue(1 * u.MB)))\n</code></pre> <pre><code>OnPremise id-1c793a-My-server\n\ncarbon_footprint_fabrication: 670.0 kilogram\npower: 520.99 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.7 dimensionless\nidle_power: 0 watt\nram: 96 gigabyte\ncpu_cores: 48 core\npower_usage_effectiveness: 1.4 dimensionless\nbase_ram_consumption: 1 megabyte\nbase_cpu_consumption: 0 core\nfixed_nb_of_instances: None\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#job-builder-from-boaviztas-ecobenchmark-data","title":"Job builder from Boavizta\u2019s ecobenchmark data","text":"<pre><code>from efootprint.builders.usage.job_ecobenchmark.ecobenchmark_job_builder import ecobenchmark_job\n\nserver = default_autoscaling()\nstorage = default_ssd()\njob = ecobenchmark_job(\n    \"test job\", server, storage, data_upload=SourceValue(1 * u.MB), data_download=SourceValue(1 * u.MB), data_stored=SourceValue(1 * u.MB),\n    technology='php-symfony')\n\nprint(job)\n</code></pre> <pre><code>2024-09-24 10:04:07,411 - INFO - File /ecobenchmark_results__raw.csv already exists, we do not overwrite it\n\n\nJob id-a837ef-test-job\n\njob_type: undefined\nserver: id-51901b-Default-autoscaling\nstorage: id-3ba5d0-Default-SSD-storage\ndata_upload: 1 megabyte\ndata_download: 1 megabyte\ndata_stored: 1 megabyte\nrequest_duration: 1 second\nram_needed: 6.15 megabyte\ncpu_needed: 0.08 core\ndescription:\n\ncalculated_attributes:\n            hourly_occurrences_across_usage_patterns: None\n  hourly_avg_occurrences_across_usage_patterns: None\n  hourly_data_upload_across_usage_patterns: None\n  hourly_data_stored_across_usage_patterns: None\n</code></pre> <pre><code># List of available technologies\nfrom efootprint.builders.usage.job_ecobenchmark.ecobenchmark_job_builder import get_ecobenchmark_technologies\nprint(get_ecobenchmark_technologies())\n</code></pre> <pre><code>['go-pgx', 'jvm-kotlin-spring', 'node-express-sequelize', 'php-symfony', 'rust-actix-sqlx']\n</code></pre> <pre><code>\n</code></pre>"},{"location":"database_modeling/","title":"How to model a database","text":"<p>Work in progress</p>"},{"location":"design_deep_dive/","title":"e-footprint design choices deep dive","text":"<p>Work in progress</p>"},{"location":"efootprint_scope/","title":"e-footprint scope","text":"<p>e-footprint aims at being a digital service carbon footprint modeling tool (more on what is means later). First of all, what is a digital service ? We call digital service any set of information technology tools that allow users to accomplish something, including all hardware, software, and peripheral equipment. In other words, the sum of all digital services makes up the entirety of the digital world. This scope is very large and that\u2019s why e-footprint has taken a detailed low-level approach. This fine granularity is complemented by a library of higher-level builders that allow for the creation of objects with fewer parameters for better usability. Of course some digital services will be harder to model with e-footprint than others, but all can be approximated. Refer to the how-to section for more information on how to model different types of services.</p> <p>Read the Why e-footprint ? article to understand the need for such a tool when ecodesigning a digital service.</p>"},{"location":"evolution_across_time/","title":"How to model the evolution of a system across time","text":"<p>Work in progress</p>"},{"location":"explanation_overview/","title":"Explanation overview","text":"<p>This section is composed of several very useful articles to understand in detail what e-footprint is and how to use it to ecodesign your digital service.</p> <ul> <li>the e-footprint scope article defines digital services and states that it is possible to model any digital service with e-footprint.</li> <li>Why e-footprint ? unfolds the analysis that led to the development of e-footprint.</li> <li>How to get started suggests the identification of an e-footprint owner within any team who wants to ecodesign its service.</li> <li>The e-footprint methodology details the steps in the iterative modeling process.</li> <li>e-footprint design choices deep dive goes into fine details as to why the e-footprint model has been built the way it is.</li> </ul>"},{"location":"get_started/","title":"Get started","text":""},{"location":"get_started/#who-is-e-footprint-for","title":"Who is e-footprint for ?","text":"<p>e-footprint is a tool for teams who want to ecodesign the digital services they develop (for example, a product team in a start up or big company). Even if it is a technical tool, it is not only for the most technical people in the team (architects, devs, data scientists). In fact, the environmental impact of the service is everyone\u2019s responsibility, just as its commercial success is. Moreover, we\u2019ve seen the Why e-footprint ? article that e-footprint also incorporates a user journey and usage language that will speak to tech professionals with a less technical background.</p>"},{"location":"get_started/#team-organization","title":"Team organization","text":"<p>What we recommend is that an e-footprint owner be identified in the team, who will be responsible for the building and maintenance of the modeling by soliciting all team members for their input. If using the python package, this person must have basic python skills, but an interface is underway that will completely remove any need for a technical background to get started with e-footprint. The e-footprint owner can thus be any person from the team, with or without technical background. The only prerequisite is a willingness to gain skill on the understanding and use of the tool.</p> <p>While there is one owner responsible for fully understanding the modeling of the digital service built by the team, when ecodesign decisions are made or when the impact of a new feature is anticipated, the whole team looks at the simulation and makes a collegiate decision.</p> <p>The e-footprint model owner is very much advised to read and understand the e-footprint methodology, why e-footprint has been built, and its model choices.</p>"},{"location":"links/","title":"External links","text":"<ul> <li>article on the use of e-footprint for the analysis of the Paylib service (in French)</li> </ul>"},{"location":"machine_learning_workflow/","title":"How to model a machine learning workflow","text":"<p>Work in progress</p>"},{"location":"measurement_tools/","title":"What about measurement tools ?","text":"<p>Work in progress</p>"},{"location":"methodology/","title":"The e-footprint methodology","text":""},{"location":"methodology/#high-level-modeling-then-refinement","title":"High-level modeling then refinement","text":"<p>Ecodesigning with e-footprint is an iterative process. Since e-footprint is a modeling tool, it is possible (and advised) to start with a very high level modeling of the studied system. This first modeling will be very inaccurate but give useful orders of magnitude: I know that the impact potential of my ecodesign initiative will be much greater if my first modeling shows me 1000 tons of CO2 / year than if it shows only 100 kg / year, and I will size my efforts accordingly. An advantage of this approach is that it doesn\u2019t require the installation of any tool. Then, depending on the results of this first analysis, I have 3 choices:</p> <ul> <li>Stop modeling because my system is too small to justify investing in ecodesigning it.</li> <li>Invest effort to increase the granularity of my modeling because it is not enough to guide decision.</li> <li>Decide that the model is detailed enough to make decisions and got to the next step.</li> </ul>"},{"location":"methodology/#modeling-analysis","title":"Modeling analysis","text":"<p>If the system is big enough, and once the model has been refined enough, comes the analysis time. It consists in diving into the results of the model to understand where emissions come from and what the emission reduction opportunities are. For example, if the analysis shows that much of the impact comes from the network, I can look up the network ecodesign best practices for inspiration, or simply ask the tech team. </p>"},{"location":"methodology/#simulation-and-priorisation","title":"Simulation and priorisation","text":"<p>When ecodesign opportunities or new features are considered, they are implemented as changes to the e-footprint model, e-footprint computes the new impact of the system, and the difference between the old and the new footprint is the environmental return on investment of the action. Since modeling often takes orders of magnitude less time than implementing, this approach allows for an efficient prioritization of effort: you will finally be able to choose the most impactful best practice for your particular conditions !</p>"},{"location":"object_reference/","title":"How to read the object reference","text":"<p>Here is the structure of an e-footprint object page:</p>"},{"location":"object_reference/#object-name","title":"Object name","text":""},{"location":"object_reference/#params","title":"Params","text":"<p>The parameters required for the creation of the Python object. Parameters can be attributes representing a physical or technical property of the object, or another e-footprint object.</p>"},{"location":"object_reference/#backwards-links","title":"Backwards links","text":"<p>The list of objects that have the current object as attribute</p>"},{"location":"object_reference/#calculated-attributes","title":"Calculated attributes","text":"<p>Calculations made by the e-footprint model. For each calculated attribute, its direct parents and related formula are given, as well as a link to its calculation graph representing its full origin.</p>"},{"location":"only_CO2/","title":"Why only CO2 ?","text":"<p>Work in progress</p>"},{"location":"server_to_server_interaction/","title":"How to model server to server interaction","text":"<p>Work in progress</p>"},{"location":"tutorial/","title":"e-footprint quickstart","text":"<p>This notebook provides an example scenario that you can use to get familiar with the Python API of efootprint: the daily video consumption of all French households on a big streaming platform.</p> <p>You will get to describe:</p> <ul> <li>the infrastructure involved (servers with auto-scaling settings, storage and network)</li> <li>the user journey involving 2 steps (Streaming, Upload)</li> <li>the usage pattern and the device population that executes it (the laptops of all French households)</li> </ul>"},{"location":"tutorial/#import-the-packages","title":"Import the packages","text":"<p>\u26a0 If this steps fails, remember to run ipython kernel install --user --name=efootprint-kernel inside your python virtual environement (initializable with <code>poetry install</code>) to be able to select efootprint-kernel as the jupyter kernel.</p> <pre><code>import os\n\nfrom efootprint.abstract_modeling_classes.source_objects import SourceValue, Sources, SourceObject\nfrom efootprint.core.usage.user_journey import UserJourney\nfrom efootprint.core.usage.user_journey_step import UserJourneyStep\nfrom efootprint.core.usage.job import Job\nfrom efootprint.core.hardware.servers.autoscaling import Autoscaling\nfrom efootprint.core.hardware.storage import Storage\nfrom efootprint.core.usage.usage_pattern import UsagePattern\nfrom efootprint.core.hardware.network import Network\nfrom efootprint.core.system import System\nfrom efootprint.constants.countries import Countries\nfrom efootprint.constants.units import u\nfrom efootprint.utils.object_relationships_graphs import USAGE_PATTERN_VIEW_CLASSES_TO_IGNORE\nfrom efootprint.builders.hardware.devices_defaults import default_laptop\n</code></pre>"},{"location":"tutorial/#define-the-infrastructure","title":"Define the infrastructure","text":"<p>An e-footprint object has a name and attributes describing its technical and environmental characteristics:</p> <pre><code>server = Autoscaling(\n    \"server\",\n    carbon_footprint_fabrication=SourceValue(600 * u.kg, Sources.BASE_ADEME_V19),\n    power=SourceValue(300 * u.W, Sources.HYPOTHESIS),\n    lifespan=SourceValue(6 * u.year, Sources.HYPOTHESIS),\n    idle_power=SourceValue(50 * u.W, Sources.HYPOTHESIS),\n    ram=SourceValue(128 * u.GB, Sources.HYPOTHESIS),\n    cpu_cores=SourceValue(24 * u.core, Sources.HYPOTHESIS),\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(100 * u.g / u.kWh, Sources.HYPOTHESIS),\n    server_utilization_rate=SourceValue(0.9 * u.dimensionless, Sources.HYPOTHESIS),\n    base_ram_consumption=SourceValue(300 * u.MB, Sources.HYPOTHESIS),\n    base_cpu_consumption=SourceValue(2 * u.core, Sources.HYPOTHESIS)\n)\n</code></pre> <p>Moreover, all e-footprint objects have a calculated_attributes attributes that shows the list of attributes that are setup as None and then computed by e-footprint when the modeling is over. For example, for our server:</p> <pre><code>print(server)\n</code></pre> <pre><code>Autoscaling id-d33c18-server\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <p>More information on e-footprint objects\u2019 calculated_attributes can be found in the e-footprint documentation.</p> <pre><code>storage = Storage(\n    \"SSD storage\",\n    carbon_footprint_fabrication=SourceValue(160 * u.kg, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    power=SourceValue(1.3 * u.W, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    lifespan=SourceValue(6 * u.years, Sources.HYPOTHESIS),\n    idle_power=SourceValue(0 * u.W, Sources.HYPOTHESIS),\n    storage_capacity=SourceValue(1 * u.TB, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(100 * u.g / u.kWh),\n    data_replication_factor=SourceValue(3 * u.dimensionless, Sources.HYPOTHESIS),\n    data_storage_duration = SourceValue(2 * u.year, Sources.HYPOTHESIS),\n    base_storage_need = SourceValue(100 * u.TB, Sources.HYPOTHESIS)\n    )\n</code></pre> <p>Apart from environmental and technical attributes, e-footprint objects can link to other e-footprint objects. For example, jobs, that run on a server and upload data to a storage, are attributes of user journey steps:</p>"},{"location":"tutorial/#define-the-user-journey","title":"Define the user journey","text":"<p>This is the modeling of the average daily usage of the streaming platform in France:</p> <pre><code>streaming_step = UserJourneyStep(\n    \"20 min streaming\",\n    user_time_spent=SourceValue(20 * u.min, Sources.USER_DATA),\n    jobs=[\n        Job(\n            \"streaming\",\n            server=server,\n            storage=storage,\n            data_upload=SourceValue(0.05 * u.MB, Sources.USER_DATA),\n            data_download=SourceValue(800 * u.MB, Sources.USER_DATA),\n            data_stored=SourceValue(0.05 * u.MB, Sources.USER_DATA),\n            request_duration=SourceValue(4 * u.min, Sources.HYPOTHESIS),\n            cpu_needed=SourceValue(1 * u.core, Sources.HYPOTHESIS),\n            ram_needed=SourceValue(50 * u.MB, Sources.HYPOTHESIS)\n            )\n        ]\n    )\nupload_step = UserJourneyStep(\n    \"1 min video capture then upload\",\n    user_time_spent=SourceValue(70 * u.s, Sources.USER_DATA),\n    jobs=[\n        Job(\n            \"video upload\",\n            server=server,\n            storage=storage,\n            data_upload=SourceValue(20 * u.MB, Sources.USER_DATA),\n            data_download=SourceValue(0 * u.GB, Sources.USER_DATA),\n            data_stored=SourceValue(20 * u.MB, Sources.USER_DATA),\n            request_duration=SourceValue(2 * u.s, Sources.HYPOTHESIS),\n            cpu_needed=SourceValue(1 * u.core, Sources.HYPOTHESIS),\n            ram_needed=SourceValue(50 * u.MB, Sources.HYPOTHESIS)\n        )\n    ]\n)\n</code></pre> <p>The user journey is then simply a list of user journey steps:</p> <pre><code>user_journey = UserJourney(\"Mean video consumption user journey\", uj_steps=[streaming_step, upload_step])\n</code></pre>"},{"location":"tutorial/#describe-usage","title":"Describe usage","text":"<p>An e-footprint usage pattern links a user journey to devices that run it, a network, a country, and the number of times the user journey gets executed hour by hour. </p> <pre><code># Let\u2019s build synthetic usage data by summing a linear growth with a sinusoidal fluctuation components, then adding daily variation\nfrom datetime import datetime, timedelta\n\nfrom efootprint.builders.time_builders import linear_growth_hourly_values\n\nstart_date = datetime.strptime(\"2025-01-01\", \"%Y-%m-%d\")\nnb_of_hours = 3 * 365 * 24\n\nlinear_growth = linear_growth_hourly_values(nb_of_hours, start_value=5000, end_value=100000, start_date=start_date)\nlinear_growth.set_label(\"Hourly user journeys linear growth component\")\n\nlinear_growth.plot()\n</code></pre> <p></p> <pre><code>from efootprint.builders.time_builders import sinusoidal_fluct_hourly_values\n\nsinusoidal_fluct = sinusoidal_fluct_hourly_values(\n    nb_of_hours, sin_fluct_amplitude=3000, sin_fluct_period_in_hours=3 * 30 * 24, start_date=start_date)\n\nlin_growth_plus_sin_fluct = (linear_growth + sinusoidal_fluct).set_label(\"Hourly user journeys linear growth with sinusoidal fluctuations\")\n\nlin_growth_plus_sin_fluct.plot()\n</code></pre> <p></p> <pre><code># Let\u2019s add daily variations because people use the system less at night\nfrom efootprint.builders.time_builders import daily_fluct_hourly_values\n\ndaily_fluct = daily_fluct_hourly_values(nb_of_hours, fluct_scale=0.8, hour_of_day_for_min_value=4, start_date=start_date)\ndaily_fluct.set_label(\"Daily volume fluctuation\")\n\ndaily_fluct.plot(xlims=[start_date, start_date+timedelta(days=1)])\n</code></pre> <p></p> <pre><code>hourly_user_journey_starts = lin_growth_plus_sin_fluct * daily_fluct\nhourly_user_journey_starts.set_label(\"Hourly number of user journey started\")\n\nhourly_user_journey_starts.plot(xlims=[start_date, start_date + timedelta(days=7)])\n</code></pre> <p></p> <pre><code># Over 3 years the daily fluctuation color the area between daily min and max number of hourly user journeys\nhourly_user_journey_starts.plot()\n</code></pre> <p></p> <pre><code>network = Network(\n        \"WIFI network\",\n        bandwidth_energy_intensity=SourceValue(0.05 * u(\"kWh/GB\"), Sources.TRAFICOM_STUDY))\n\nusage_pattern = UsagePattern(\n    \"Daily video streaming consumption\",\n    user_journey=user_journey,\n    devices=[default_laptop()],\n    network=network,\n    country=Countries.FRANCE(),\n    hourly_user_journey_starts=hourly_user_journey_starts\n)\n\nsystem = System(\"System\", usage_patterns=[usage_pattern])\n</code></pre> <pre><code>2024-09-24 15:21:04,061 - INFO - Computing calculated attributes for System System\n2024-09-24 15:21:04,062 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey\n2024-09-24 15:21:04,064 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption\n2024-09-24 15:21:04,082 - INFO - Computing calculated attributes for Job streaming\n2024-09-24 15:21:04,091 - INFO - Computing calculated attributes for Job video upload\n2024-09-24 15:21:04,105 - INFO - Computing calculated attributes for Autoscaling server\n2024-09-24 15:21:04,137 - INFO - Computing calculated attributes for Storage SSD storage\n2024-09-24 15:21:04,185 - INFO - Computing calculated attributes for Network WIFI network\n2024-09-24 15:21:04,200 - INFO - Finished computing System modeling\n</code></pre>"},{"location":"tutorial/#results","title":"Results","text":""},{"location":"tutorial/#computed-attributes","title":"Computed attributes","text":"<p>Now all calculated_attributes have been computed:</p> <pre><code>print(server)\n</code></pre> <pre><code>Autoscaling id-d33c18-server\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in core:\n    first 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5, 205.65, 272.44],\n    last 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48, 9652.94, 8323.25, 6896.04, 5468.6]\n  hour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in GB:\n    first 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\n    last 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16, 344.8, 273.43]\n  available_ram_per_instance: 114.9 gigabyte\n  available_cpu_per_instance: 19.6 core\n  raw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in dimensionless:\n    first 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\n    last 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66, 351.84, 279.01]\n  nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in dimensionless:\n    first 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\n    last 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0, 280.0]\n  instances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kg:\n    first 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\n    last 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\n  instances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kWh:\n    first 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\n    last 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9, 126.67, 100.5]\n  energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kg:\n    first 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\n    last 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67, 10.05]\n</code></pre>"},{"location":"tutorial/#system-footprint-overview","title":"System footprint overview","text":"<pre><code>system.plot_footprints_by_category_and_object(\"System footprints.html\")\n</code></pre>"},{"location":"tutorial/#object-relationships-graph","title":"Object relationships graph","text":"<p>Hover over a node to get the numerical values of its environmental and technical attributes. For simplifying the graph the Network and Hardware nodes are not shown.</p> <pre><code>usage_pattern.object_relationship_graph_to_file(\"object_relationships_graph.html\", width=\"800px\", height=\"500px\",\n    classes_to_ignore=USAGE_PATTERN_VIEW_CLASSES_TO_IGNORE, notebook=True)\n</code></pre>"},{"location":"tutorial/#calculus-graph","title":"Calculus graph","text":"<p>Any e-footprint calculation can generate its calculation graph for full auditability. Hover on a calculus node to display its formula and numeric value.</p> <pre><code>usage_pattern.devices_fabrication_footprint.calculus_graph_to_file(\n    \"device_population_fab_footprint_calculus_graph.html\", width=\"800px\", height=\"500px\", notebook=True)\n</code></pre>"},{"location":"tutorial/#analysing-the-impact-of-a-change","title":"Analysing the impact of a change","text":""},{"location":"tutorial/#numeric-input-change","title":"Numeric input change","text":"<p>Any input change automatically triggers the computation of calculations that depend on the input. For example, let\u2019s say that the average data download consumption of the streaming step decreased because of a change in default video quality:</p> <pre><code>streaming_step.jobs[0].data_download = SourceValue(500 * u.MB, Sources.USER_DATA)\n</code></pre> <pre><code>system.plot_emission_diffs(\"bandwith reduction.png\")\n</code></pre> <pre><code>Plotting the impact of streaming\u2019s data_download changing from 800 megabyte to 500 megabyte\n</code></pre> <p></p>"},{"location":"tutorial/#system-structure-change","title":"System structure change","text":"<p>Now let\u2019s make a more complex change, like adding a conversation with a generative AI chatbot before streaming the video. Numerical values don\u2019t matter so much for the sake of this tutorial, please check out the e-footprint-modelings github repository for a more detailed modeling of the impact of LLM\u202ftraining and inference.</p> <pre><code>llm_server = Autoscaling(\n    \"Inference GPU server\",\n    carbon_footprint_fabrication=SourceValue(4900 * u.kg, Sources.HYPOTHESIS),\n    power=SourceValue(6400 * u.W, Sources.HYPOTHESIS),\n    lifespan=SourceValue(5 * u.year, Sources.HYPOTHESIS),\n    idle_power=SourceValue(500 * u.W, Sources.HYPOTHESIS),\n    ram=SourceValue(128 * u.GB, Sources.HYPOTHESIS),\n    cpu_cores=SourceValue(16 * u.core, Sources.HYPOTHESIS), # Used to represent GPUs because e-footprint doesn\u2019t natively model GPU resources yet.\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(300 * u.g / u.kWh, Sources.HYPOTHESIS),\n    server_utilization_rate=SourceValue(1 * u.dimensionless, Sources.HYPOTHESIS),\n    base_ram_consumption=SourceValue(0 * u.MB, Sources.HYPOTHESIS),\n    base_cpu_consumption=SourceValue(0 * u.core, Sources.HYPOTHESIS)\n)\n</code></pre> <pre><code>llm_chat_step = UserJourneyStep(\n    \"Chat with LLM to select video\", user_time_spent=SourceValue(1 * u.min, Sources.HYPOTHESIS),\n    jobs=[Job(\"LLM API call\", llm_server, storage, SourceValue(300 * u.kB, Sources.USER_DATA),\n              SourceValue(300 * u.kB, Sources.USER_DATA), SourceValue(300 * u.kB, Sources.USER_DATA),\n              request_duration=SourceValue(5 * u.s, Sources.HYPOTHESIS),\n              cpu_needed=SourceValue(16 * u.core, Sources.HYPOTHESIS),\n              ram_needed=SourceValue(128 * u.GB, Sources.HYPOTHESIS))])\n</code></pre> <pre><code># Adding the new step is simply an attribute update.\n# Don\u2019t use user_journey.uj_steps.append(llm_chat_step) as e-footprint recomputation logic wouldn\u2019t be triggered\nuser_journey.uj_steps += [llm_chat_step]\n</code></pre> <pre><code>2024-09-24 15:21:07,247 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey\n2024-09-24 15:21:07,248 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption\n2024-09-24 15:21:07,262 - INFO - Computing calculated attributes for Job streaming\n2024-09-24 15:21:07,273 - INFO - Computing calculated attributes for Job video upload\n2024-09-24 15:21:07,284 - INFO - Computing calculated attributes for Job LLM API call\n2024-09-24 15:21:07,294 - INFO - Computing calculated attributes for Autoscaling server\n2024-09-24 15:21:07,324 - INFO - Computing calculated attributes for Storage SSD storage\n2024-09-24 15:21:07,365 - INFO - Computing calculated attributes for Network WIFI network\n2024-09-24 15:21:07,376 - INFO - Computing calculated attributes for Autoscaling Inference GPU server\n</code></pre> <pre><code>system.plot_emission_diffs(\"LLM chat addition.png\")\n</code></pre> <pre><code>Plotting the impact of Mean video consumption user journey\u2019s uj_steps changing from ['20 min streaming', '1 min video capture then upload'] to ['20 min streaming', '1 min video capture then upload', 'Chat with LLM to select video']\n</code></pre> <p></p> <p>We can see that server energy footprint has been multiplied by more than 10 and the rest of the impact is quite negligible. Good to know to make informed decisions ! Of course the impact is very much dependent on assumptions. If the LLM\u202fserver ran on low-carbon electricity for example:</p> <pre><code>llm_server.average_carbon_intensity=SourceValue(50 * u.g / u.kWh, Sources.HYPOTHESIS)\nsystem.plot_emission_diffs(\"lower LLM inference carbon intensity.png\")\n</code></pre> <pre><code>Plotting the impact of Inference GPU server\u2019s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour\n</code></pre> <p></p>"},{"location":"tutorial/#recap-of-all-system-changes","title":"Recap of all System changes","text":"<pre><code>system.plot_emission_diffs(\"All system diffs.png\", from_start=True)\n</code></pre> <pre><code>Plotting the impact of:\n\n- streaming\u2019s data_download changing from 800 megabyte to 500 megabyte\n- Mean video consumption user journey\u2019s uj_steps changing from ['20 min streaming', '1 min video capture then upload'] to ['20 min streaming', '1 min video capture then upload', 'Chat with LLM to select video']\n- Inference GPU server\u2019s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour\n</code></pre>"},{"location":"why_efootprint/","title":"Why e-footprint ?","text":"<p>For a more in-depth discussion of e-footprint\u2019s genesis by its designer, watch the e-footprint presentation made by Vincent Villet at the 2023 Paris Impact Summit (9 minutes, in French).</p>"},{"location":"why_efootprint/#the-need-for-modeling-in-ecodesign","title":"The need for modeling in ecodesign","text":"<p>We define ecodesign as the process of building or maintaining a digital service while minimizing its environmental impact. To do so, we first need to understand where its impact comes from and then be able to anticipate the impact of considered actions to choose the most appropriate one.</p> <p>How much intuition can we use to prioritize ecodesign actions ? Is it enough to give tech people a green IT training and let their experience do the rest ? This approach works well for web performance, where the combination of theory and practice allows experienced professionals to build an intuitive understanding of their systems, but there is a major difference between a digital service performance and its environmental impact: a poor performance is perceptible (and even often frustrating !), while the environmental impact lives entirely outside of the reach of our senses. This great distance in space and time between our actions and their impacts (described in more details in this excellent article from Jean-Marc Jancovici) is a very new and difficult problem for humanity, touches every aspect of modern life, and is especially salient for digital services. It calls for a fully explicit model because building intuition is simply not possible.</p>"},{"location":"why_efootprint/#how-precise-does-the-modeling-need-to-be","title":"How precise does the modeling need to be ?","text":"<p>Now that we know that we need an explicit model, we need to know how precise the model needs to be to allow for good decision-making. Indeed, any understanding is a tradeoff between precision and usability. For example, having in mind a mental model that says \"for an average consumer car, driving at 110km/h on the highway instead of 130km/h reduces the speed by 15% but the oil consumption by 25%\" is simplistic because many factors influence the result (the exact shape of the car, the wind, the profile of the road etc.). However, I consider it usable for the decision I have to make (which speed to drive at when taking the highway) because I know that the exact oil saving figure for the particular vehicle I\u2019m driving won\u2019t be so far from this simplified average. This example introduces two important concepts that physicists often use:</p> <ul> <li>reduced-order modeling, where the mathematical complexity of a real world phenomenon is voluntarily simplified while preserving enough precision for the task at hand.</li> <li>order of magnitude, an approximate figure that is easier to obtain and use in reduced-order model computations, and enough to make informed decisions.</li> </ul> <p>The more complex and variable the studied system is, the more complex (=high order) the corresponding model needs to be before it delivers useful orders of magnitude.</p> <p>How complex would a good enough model need to be to effectively guide ecodesign decisions ? It depends on the complexity and variability of digital services. Let\u2019s make some observations and some simple thought experiments to find out the essential parameters.</p> <p>First and foremost, digital services vary wildly in usage volumes. The biggest social networks have billions of daily visits while your company showcase website might have only a few hundreds. The same ecodesign action leading to a 10% energy consumption reduction will be vastly more impactful on the big system than on the small one, so usage volume input is critical.</p> <p>Then let\u2019s look at the four key components of digital services: user devices, network, servers and storage. Different services make use of them in vastly different proportions, making each of them sometimes negligible, sometimes crucial. For example, streaming services make a heavy use of the network, gen AI services use a lot of computing power in servers, and social networks store huge amounts of data. All these different types of objects thus need to be represented in our model.</p> <p>Lastly, many ecodesign actions involve changing the way users interact with the service, so there needs to be a way to tell the model that users have changed the actions that they typically do. Hence, user journeys must be part of the model inputs.</p> <p>We now have a framework for thinking about the physicality of our digital service: digital services must at least be described in terms of user journeys (UserJourney) with their usage information (UsagePattern). Each user journey is made of steps (UserJourneyStep) that make requests (Job) through a network (Network), on a server (Server), possibly saving data to storage (Storage).</p> <p>e-footprint was born from the above analysis and the observation that no other tool had taken a modeling approach bringing together all these objects. It started as an Excel modeling and then evolved towards a Python package to allow for greater flexibility in the combination of objects.</p> <p>Moreover, it is necessary to take a life cycle analysis approach to understand all aspects of environmental impact from cradle to grave. Here the orders of magnitude show that focusing on the fabrication and run phases of the service is a good first approximation, neglecting transport and end of life.</p>"},{"location":"why_efootprint/#the-difference-between-the-model-and-the-modeling","title":"The difference between the model and the modeling","text":"<p>e-footprint is a modeling tool that embeds a model of the relationships between components of a digital service and the associated environmental footprint. When you describe your digital service with e-footprint, what you get is a modeling of this service.</p> <p>For more details on the model design decisions in e-footprint, check the model design deep dive.</p>"},{"location":"why_efootprint/#get-started","title":"Get started","text":"<p>Now that you understand the concepts on which e-footprint is built, read the How to get started article to start your ecodesign journey !</p>"}]}
\ No newline at end of file
+{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Welcome to the e-footprint documentation !","text":"<p>If you are new to e-footprint, start by checking out the explanation section, then the tutorial.</p> <p>All e-footprint objects, parameters and calculated attributes are listed in the e-footprint object reference. </p> <p>Moreover, e-footprint has higher-level functions to facilitate the construction of objects from fewer parameters. You can check them out in the e-footprint builders reference. </p> <p>The source code is available in the e-footprint github repository and a graphical interface is under construction to facilitate the use of the model (in beta for now, your feedback is appreciated). </p> <p>This project has been initiated by Vincent Villet for Publicis Sapient and is now part of the green IT association Boavizta\u2019s ecosystem of open source tools. </p>"},{"location":"Autoscaling/","title":"Autoscaling","text":""},{"location":"Autoscaling/#params","title":"Params","text":""},{"location":"Autoscaling/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Autoscaling/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of server in kilogram.</p>"},{"location":"Autoscaling/#power","title":"power","text":"<p>power of server in watt.</p>"},{"location":"Autoscaling/#lifespan","title":"lifespan","text":"<p>lifespan of server in year.</p>"},{"location":"Autoscaling/#idle_power","title":"idle_power","text":"<p>idle power of server in watt.</p>"},{"location":"Autoscaling/#ram","title":"ram","text":"<p>ram of server in gigabyte.</p>"},{"location":"Autoscaling/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of server in core.</p>"},{"location":"Autoscaling/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of server in dimensionless.</p>"},{"location":"Autoscaling/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of server electricity in gram / kilowatt_hour.</p>"},{"location":"Autoscaling/#server_utilization_rate","title":"server_utilization_rate","text":"<p>server utilization rate in dimensionless.</p>"},{"location":"Autoscaling/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of server in megabyte.</p>"},{"location":"Autoscaling/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of server in core.</p>"},{"location":"Autoscaling/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Autoscaling/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Autoscaling/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>server hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],     last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to server hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>server hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to server hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per server instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of server</li> <li>server utilization rate</li> <li>Base RAM consumption of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per server instance\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per server instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of server</li> <li>server utilization rate</li> <li>Base CPU consumption of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per server instance\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>server hour by hour ram need</li> <li>Available RAM per server instance</li> <li>server hour by hour cpu need</li> <li>Available CPU per server instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],     last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of server instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly server instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of server instances</li> <li>Carbon footprint fabrication of server</li> <li>Lifespan of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly server instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by server instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.07, 0.06, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06],     last 10 vals [0.07, 0.07, 0.06, 0.07, 0.07, 0.06, 0.06, 0.07, 0.06, 0.07]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of server instances</li> <li>Idle power of server</li> <li>PUE of server</li> <li>Hourly raw number of server instances</li> <li>Power of server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by server instances\u2019s full calculation graph.</p>"},{"location":"Autoscaling/#energy_footprint","title":"energy_footprint","text":"<p>hourly server energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by server instances</li> <li>Average carbon intensity of server electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly server energy footprint\u2019s full calculation graph.</p>"},{"location":"Changelog/","title":"Change Log","text":"<p>All notable changes to this project will be documented in this file.</p> <p>The format is based on Keep a Changelog and this project adheres to Semantic Versioning.</p>"},{"location":"Changelog/#600-2024-09-27","title":"[6.0.0] 2024-09-27","text":"<ul> <li>Introduce in job Object the attribute \"data_stored\". This attribute is the amount of data stored by the job in the storage. It can be negative if the job deletes data from the storage.</li> </ul>"},{"location":"Changelog/#500-2024-09-20","title":"[5.0.0] 2024-09-20","text":"<ul> <li>Supress Service object and transfer its functions to Server and Storage. Now jobs directly link to servers and storage. This change simplifies e-footprint\u2019s object structure and removes the ambiguity surrounding the term Service.</li> </ul>"},{"location":"Changelog/#400-2024-09-11","title":"[4.0.0] 2024-09-11","text":""},{"location":"Changelog/#changed","title":"Changed","text":"<ul> <li>Major update: usage is now described as hourly number of user journey starts. This allows for a chronological modeling and later will allow simulation of changes in the future.</li> <li>Server electricity consumption now depends on server load.</li> </ul>"},{"location":"Changelog/#300-2024-07-29","title":"[3.0.0] 2024-07-29","text":""},{"location":"Changelog/#changed_1","title":"Changed","text":"<ul> <li>Suppress DevicePopulation object and transfer its functions to UsagePattern for simplification of object structure. This change removes an ambiguity around the notion of visits and number of devices: by removing the notion of devices and users from the model, only user journey frequency is kept and there remains no confusion possible between user journey frequency and user journey frequency per user (which has disappeared).</li> <li>Minor import order refactoring to comply better with PEP8 guidelines.</li> </ul>"},{"location":"Changelog/#added","title":"Added","text":"<ul> <li>Content in the documentation.</li> </ul>"},{"location":"Changelog/#216-2024-06-13","title":"[2.1.6] 2024-06-13","text":""},{"location":"Changelog/#fixed","title":"Fixed","text":"<ul> <li>Force ModelingObject and ExplainableObject ids to start with a letter and not contain backslashes.</li> </ul>"},{"location":"Changelog/#215-2024-06-06","title":"[2.1.5] 2024-06-06","text":""},{"location":"Changelog/#fixed_1","title":"Fixed","text":"<ul> <li>Make ModelingObject and ExplainableObject ids css escaped.</li> </ul>"},{"location":"Changelog/#214-2024-05-17","title":"[2.1.4] 2024-05-17","text":""},{"location":"Changelog/#fixed_2","title":"Fixed","text":"<ul> <li>System footprints by category and object graph legend aligns to the right if server impact is bigger than devices impact</li> </ul>"},{"location":"Changelog/#213-2024-05-16","title":"[2.1.3] 2024-05-16","text":""},{"location":"Changelog/#changed_2","title":"Changed","text":"<ul> <li>Don\u2019t round up the number of users in parallel as it creates very wrong results when there are few users in parallel.</li> </ul>"},{"location":"Changelog/#212-2024-05-16","title":"[2.1.2] 2024-05-16","text":""},{"location":"Changelog/#fixed_3","title":"Fixed","text":"<ul> <li>\"ton\" unit to \"tonne\" because in Pint a ton is equal to 2000 pounds and not 1000 kg.</li> </ul>"},{"location":"Changelog/#211-2024-05-16","title":"[2.1.1] 2024-05-16","text":""},{"location":"Changelog/#fixed_4","title":"Fixed","text":"<ul> <li>Remove useless title parameter from EmissionPlotter class.</li> </ul>"},{"location":"Changelog/#210-2024-05-15","title":"[2.1.0] - 2024-05-15","text":""},{"location":"Changelog/#added_1","title":"Added","text":"<ul> <li>Possibility to export raw html in plot_footprints_by_category_and_object System method.</li> <li>Possibility to resize plot_footprints_by_category_and_object output\u2019s graph.</li> </ul>"},{"location":"Changelog/#changed_3","title":"Changed","text":"<ul> <li>Improve emission diffs graph and harmonize its colors and legend with the plot_footprints_by_category_and_object graph.</li> </ul>"},{"location":"Changelog/#205-2024-04-16","title":"[2.0.5] - 2024-04-16","text":""},{"location":"Changelog/#fixed_5","title":"Fixed","text":"<ul> <li>In function json_to_system make sure that System ids don\u2019t change at system loading time.</li> </ul>"},{"location":"Changelog/#204-2024-04-16","title":"[2.0.4] - 2024-04-16","text":""},{"location":"Changelog/#fixed_6","title":"Fixed","text":"<ul> <li>In function json_to_system make recompute Systems by using their init and after_init methods to make sure that all their internal variables are initialized.</li> </ul>"},{"location":"Changelog/#203-2024-04-15","title":"[2.0.3] - 2024-04-15","text":""},{"location":"Changelog/#fixed_7","title":"Fixed","text":"<ul> <li>In function json_to_system make sure that all objects unlinked to a system compute their calculated attributes, and not only Services.</li> </ul>"},{"location":"Changelog/#202-2024-04-15","title":"[2.0.2] - 2024-04-15","text":""},{"location":"Changelog/#fixed_8","title":"Fixed","text":"<ul> <li>Loading of system from json when there is a service that is not linked to a usage pattern (case when a service is installed on a server but doesn\u2019t receive requests).</li> </ul>"},{"location":"Changelog/#201-2024-04-12","title":"[2.0.1] - 2024-04-12","text":""},{"location":"Changelog/#fixed_9","title":"Fixed","text":"<ul> <li>Setup of previous attribute value for lists at e-footprint object initiation when using the json_to_system function, so that recomputation works fine when list attributes are updated.</li> </ul>"},{"location":"Changelog/#200-2024-04-06","title":"[2.0.0] - 2024-04-06","text":""},{"location":"Changelog/#added_2","title":"Added","text":"<ul> <li>Job object for the encapsulation of request information, to introduce the possibility to have multiple request to services for a single user journey step.</li> <li>Job builders from Boavizta\u2019s ecobenchmark data</li> </ul>"},{"location":"Changelog/#132-2024-03-20","title":"[1.3.2] - 2024-03-20","text":""},{"location":"Changelog/#added_3","title":"Added","text":"<ul> <li>Characterics of objects are now displayed when hovering over a node in an object relationship graph (to create such a graph use the object_relationship_graph_to_file method of the ModelingObject class).</li> </ul>"},{"location":"Changelog/#131-2024-03-16","title":"[1.3.1] - 2024-03-16","text":""},{"location":"Changelog/#fixed_10","title":"Fixed","text":"<ul> <li>set modeling obj container of ExplainableObjects created through json_to_system function so that accessing their id property doesn\u2019t trigger a ValueError because of a null modeling_obj_container.</li> <li>Fixed ExplainableObject\u2019s set_label method so that it doesn\u2019t duplicate \"from source.name\" when reconstructing the object with the json_to_system function.</li> </ul>"},{"location":"Changelog/#130-2024-03-15","title":"[1.3.0] - 2024-03-15","text":""},{"location":"Changelog/#added_4","title":"Added","text":"<ul> <li>plot_emission_diffs method to System for easy analysis of System changes.</li> <li>Tutorial to documentation.</li> <li>System changes analysis in tutorial.</li> </ul>"},{"location":"Changelog/#122-2024-03-08","title":"[1.2.2] - 2024-03-08","text":""},{"location":"Changelog/#added_5","title":"Added","text":"<ul> <li>notebook parameter in object and calculus graph generation functions + set cdn_resources=in_line in pyvis Network objects to silence jupyter warning</li> <li>to_json, repr and str methods in ExplainableObject subclasses and ModelingObject.</li> </ul>"},{"location":"Changelog/#changed_4","title":"Changed","text":"<ul> <li>quickstart as jupyter notebook</li> </ul>"},{"location":"Changelog/#121-2024-02-29","title":"[1.2.1] - 2024-02-29","text":""},{"location":"Changelog/#added_6","title":"Added","text":""},{"location":"Changelog/#changed_5","title":"Changed","text":""},{"location":"Changelog/#fixed_11","title":"Fixed","text":"<ul> <li>Possibility to use fixed_nb_of_instances with the on_premise_server_from_config builder.</li> </ul>"},{"location":"Changelog/#120-2024-02-29","title":"[1.2.0] - 2024-02-29","text":""},{"location":"Changelog/#added_7","title":"Added","text":"<ul> <li>Possibility to specify the fixed number of on premise instances through the fixed_nb_of_instances attribute</li> <li>Doc generation logic with mkdocs. Here is the link to the e-footprint documentation.</li> </ul>"},{"location":"Changelog/#changed_6","title":"Changed","text":""},{"location":"Changelog/#fixed_12","title":"Fixed","text":"<ul> <li>File paths in graphs generating functions</li> </ul>"},{"location":"Changelog/#119-2024-02-12","title":"[1.1.9] - 2024-02-12","text":""},{"location":"Changelog/#added_8","title":"Added","text":"<ul> <li>system_to_json and json_to_system functions in api_utils package in order to be able to save a system as json file and then load it and run computations. Saving of intermediate calculations will be implemented in another release.</li> </ul>"},{"location":"Changelog/#changed_7","title":"Changed","text":"<ul> <li>calculated_attributes are now a property method instead of an attribute, to facilitate system to json and json to system flow.</li> <li>calculated attributes of System class are now properties for a more coherent syntax.</li> <li>Countries class is now made of country generator objects to avoid unwanted link between systems that would share a common country.</li> <li>System now inherits from ModelingObject</li> </ul>"},{"location":"Changelog/#118-2024-02-02","title":"[1.1.8] - 2024-02-02","text":""},{"location":"Changelog/#added_9","title":"Added","text":"<ul> <li>calculus_graph_to_file function in ExplainableObject to more easily create calculus graphs</li> <li>object_relationship_graph_to_file function in ModelingObject to more easily create object relationship graphs</li> <li>Generic self_delete method for ModelingObjects</li> </ul>"},{"location":"Changelog/#changed_8","title":"Changed","text":"<ul> <li>System now inherits from ModelingObject</li> </ul>"},{"location":"Changelog/#117-2024-01-29","title":"[1.1.7] - 2024-01-29","text":""},{"location":"Changelog/#added_10","title":"Added","text":""},{"location":"Changelog/#changed_9","title":"Changed","text":"<ul> <li>Put ModelingObject list update logic in ModelingObject setattr method</li> <li>Name server CPU capacity cpu_cores instead of nb_of_cpus to make it clearer</li> </ul>"},{"location":"Changelog/#fixed_13","title":"Fixed","text":"<ul> <li>Set input attribute label at attribute setting time and not after. Avoids a bug when the input attribute of a ModelingObject is the result of a calculation and hence has no label.</li> </ul>"},{"location":"Changelog/#116-2024-01-29","title":"[1.1.6] - 2024-01-29","text":""},{"location":"Changelog/#added_11","title":"Added","text":""},{"location":"Changelog/#changed_10","title":"Changed","text":"<ul> <li>Put all the naming logic that was in SourceValue and SourceObject classes into ExplainableObject</li> </ul>"},{"location":"Changelog/#fixed_14","title":"Fixed","text":"<ul> <li>Boaviztapi server builders to accommodate for Boaviztapi update. </li> </ul>"},{"location":"Changelog/#115-2024-01-18","title":"[1.1.5] - 2024-01-18","text":""},{"location":"Changelog/#added_12","title":"Added","text":"<ul> <li>plot_footprints_by_category_and_object method to the System object, to display the CO2 emission breakdown by object type (server, storage, network, end user devices), emission types (from electricity and from fabrication), and by objects within object types (for example, the share of each server within the servers).</li> <li>Default object builders that return a new object each time.</li> <li>Server builders based on the Boavizta API.</li> </ul>"},{"location":"Changelog/#changed_11","title":"Changed","text":"<ul> <li>Suppress the notion of server_ram_per_data_transferred to simply directly specify the ram_needed for UserJourneyStep objects.</li> <li>More explicity quickstart with all attributes explicitely named and set.</li> </ul>"},{"location":"Changelog/#fixed_15","title":"Fixed","text":""},{"location":"Changelog/#114-2023-11-13","title":"[1.1.4] - 2023-11-13","text":""},{"location":"Changelog/#added_13","title":"Added","text":""},{"location":"Changelog/#changed_12","title":"Changed","text":""},{"location":"Changelog/#fixed_16","title":"Fixed","text":"<ul> <li>Don\u2019t write logs to file by default to avoid unnecessary storage usage + be compliant with Streamlit Cloud security.</li> </ul>"},{"location":"Changelog/#113-2023-11-13","title":"[1.1.3] - 2023-11-13","text":""},{"location":"Changelog/#added_14","title":"Added","text":""},{"location":"Changelog/#changed_13","title":"Changed","text":""},{"location":"Changelog/#fixed_17","title":"Fixed","text":"<ul> <li>Put data folder (for logs) inside module and set default log level to INFO.</li> </ul>"},{"location":"Changelog/#112-2023-11-10","title":"[1.1.2] - 2023-11-10","text":""},{"location":"Changelog/#added_15","title":"Added","text":"<ul> <li>Missing tests.</li> <li>Optimisations that can lead to 10x+ improvements in complex systems initiation speed.</li> </ul>"},{"location":"Changelog/#changed_14","title":"Changed","text":"<ul> <li>Clarification of vocabulary in ExplainableObject class: an ExplainableObject now links to its children, to follow a genealogical logic.</li> <li>Graph colors for more color blindness friendliness. Reach out if this is still unsatisfactory !</li> </ul>"},{"location":"Changelog/#fixed_18","title":"Fixed","text":"<ul> <li>Object link recomputation logic: the launch_attributes_computation_chain function in the ModelingObject class now allows for a breadth first exploration of the object link graph to recompute object attributes in the right order. </li> </ul>"},{"location":"Changelog/#111-2023-11-03","title":"[1.1.1] - 2023-11-03","text":""},{"location":"Changelog/#added_16","title":"Added","text":""},{"location":"Changelog/#changed_15","title":"Changed","text":""},{"location":"Changelog/#fixed_19","title":"Fixed","text":"<ul> <li>Possibility to have a null service as input for user journey steps (in cases when the user simply uses the device without any service call).</li> <li>UserJourney\u2019s add_step method didn\u2019t trigger setattr because of the use of the self.uj_steps.append(new_step) syntax, and hence didn\u2019t trigger the appropriate recomputation logic. Fixed by replacing it with the self.uj_steps = self.uj_steps + [new_step] syntax.</li> <li>graph_tools module doesn\u2019t depend any more on special selenium screenshot functions that are only used during development. Such functions have been moved to the dev_utils package that only contains modules not used in the project because they are work in progress or dev helper functions.</li> <li>Fixed the convert_to_utc_test that had broken because of time change  </li> </ul>"},{"location":"Changelog/#110-2023-10-26","title":"[1.1.0] - 2023-10-26","text":"<p>State of project at time of open sourcing.</p>"},{"location":"Changelog/#added_17","title":"Added","text":"<p>Full optimization of recomputation whenever an input or object relationship changes.</p>"},{"location":"Country/","title":"Country","text":""},{"location":"Country/#params","title":"Params","text":""},{"location":"Country/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Country/#short_name","title":"short_name","text":"<p>description to be done</p>"},{"location":"Country/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of devices country in gram / kilowatt_hour.</p>"},{"location":"Country/#year","title":"year","text":"<p>description to be done</p>"},{"location":"Country/#timezone","title":"timezone","text":"<p>description to be done</p>"},{"location":"Country/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Country/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Hardware/","title":"Hardware","text":""},{"location":"Hardware/#params","title":"Params","text":""},{"location":"Hardware/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Hardware/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of device on which the user journey is made in kilogram.</p>"},{"location":"Hardware/#power","title":"power","text":"<p>power of device on which the user journey is made in watt.</p>"},{"location":"Hardware/#lifespan","title":"lifespan","text":"<p>lifespan of device on which the user journey is made in year.</p>"},{"location":"Hardware/#fraction_of_usage_time","title":"fraction_of_usage_time","text":"<p>device on which the user journey is made fraction of usage time in hour / day.</p>"},{"location":"Hardware/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Hardware/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Job/","title":"Job","text":""},{"location":"Job/#params","title":"Params","text":""},{"location":"Job/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Job/#server","title":"server","text":"<p>An instance of Autoscaling.</p>"},{"location":"Job/#storage","title":"storage","text":"<p>An instance of Storage.</p>"},{"location":"Job/#data_upload","title":"data_upload","text":"<p>data upload of request streaming in megabyte.</p>"},{"location":"Job/#data_download","title":"data_download","text":"<p>data download of request streaming in megabyte.</p>"},{"location":"Job/#data_stored","title":"data_stored","text":"<p>data stored by request streaming in megabyte.</p>"},{"location":"Job/#request_duration","title":"request_duration","text":"<p>request duration of streaming to server in hour.</p>"},{"location":"Job/#cpu_needed","title":"cpu_needed","text":"<p>cpu needed on server server to process streaming in core.</p>"},{"location":"Job/#ram_needed","title":"ram_needed","text":"<p>ram needed on server server to process streaming in megabyte.</p>"},{"location":"Job/#job_type","title":"job_type","text":"<p>description to be done</p>"},{"location":"Job/#description","title":"description","text":"<p>description to be done</p>"},{"location":"Job/#backwards-links","title":"Backwards links","text":"<ul> <li>UserJourneyStep</li> </ul>"},{"location":"Job/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Job/#hourly_occurrences_per_usage_pattern","title":"hourly_occurrences_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly streaming occurrences in usage pattern as values, in dimensionless.  </p> <p>Example value: { id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],     last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7],  }  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern UTC </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming occurrences in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_avg_occurrences_per_usage_pattern","title":"hourly_avg_occurrences_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          average hourly streaming occurrences in usage pattern as values, in dimensionless.  </p> <p>Example value: { id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],     last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Request duration of streaming to server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Average hourly streaming occurrences in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_upload_per_usage_pattern","title":"hourly_data_upload_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data upload for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],     last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data upload of request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data upload for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_download_per_usage_pattern","title":"hourly_data_download_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data download for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [6400.0, 2400.0, 6400.0, 4000.0, 4000.0, 4000.0, 800.0, 1600.0, 5600.0, 1600.0],     last 10 vals [5600.0, 4000.0, 800.0, 6400.0, 6400.0, 1600.0, 3200.0, 4000.0, 1600.0, 5600.0],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data download of request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data download for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_stored_per_usage_pattern","title":"hourly_data_stored_per_usage_pattern","text":"<p>Dictionary with UsagePattern as keys and                          hourly data stored for streaming in usage pattern as values, in megabyte.  </p> <p>Example value: { id-ab4cab-usage-pattern: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],     last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35],  }  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern</li> <li>Data stored by request streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly data stored for streaming in usage pattern\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_occurrences_across_usage_patterns","title":"hourly_occurrences_across_usage_patterns","text":"<p>hourly streaming occurrences across usage patterns in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],     last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming occurrences in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming occurrences across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_avg_occurrences_across_usage_patterns","title":"hourly_avg_occurrences_across_usage_patterns","text":"<p>hourly streaming average occurrences across usage patterns in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],     last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p> <p>Depends directly on:  </p> <ul> <li>Average hourly streaming occurrences in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming average occurrences across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_upload_across_usage_patterns","title":"hourly_data_upload_across_usage_patterns","text":"<p>hourly streaming data upload across usage patterns in megabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],     last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data upload for streaming in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming data upload across usage patterns\u2019s full calculation graph.</p>"},{"location":"Job/#hourly_data_stored_across_usage_patterns","title":"hourly_data_stored_across_usage_patterns","text":"<p>hourly streaming data upload across usage patterns in megabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in MB:     first 10 vals [0.4, 0.15, 0.4, 0.25, 0.25, 0.25, 0.05, 0.1, 0.35, 0.1],     last 10 vals [0.35, 0.25, 0.05, 0.4, 0.4, 0.1, 0.2, 0.25, 0.1, 0.35]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data stored for streaming in usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly streaming data upload across usage patterns\u2019s full calculation graph.</p>"},{"location":"Network/","title":"Network","text":""},{"location":"Network/#params","title":"Params","text":""},{"location":"Network/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Network/#bandwidth_energy_intensity","title":"bandwidth_energy_intensity","text":"<p>bandwith energy intensity of network in kilowatt_hour / gigabyte.</p>"},{"location":"Network/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"Network/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Network/#energy_footprint","title":"energy_footprint","text":"<p>hourly network energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly data upload for streaming in usage pattern</li> <li>Hourly data download for streaming in usage pattern</li> <li>bandwith energy intensity of network</li> <li>Average carbon intensity of devices country </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly network energy footprint\u2019s full calculation graph.</p>"},{"location":"OnPremise/","title":"OnPremise","text":""},{"location":"OnPremise/#params","title":"Params","text":""},{"location":"OnPremise/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"OnPremise/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of on premise server in kilogram.</p>"},{"location":"OnPremise/#power","title":"power","text":"<p>power of on premise server in watt.</p>"},{"location":"OnPremise/#lifespan","title":"lifespan","text":"<p>lifespan of on premise server in year.</p>"},{"location":"OnPremise/#idle_power","title":"idle_power","text":"<p>idle power of on premise server in watt.</p>"},{"location":"OnPremise/#ram","title":"ram","text":"<p>ram of on premise server in gigabyte.</p>"},{"location":"OnPremise/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of on premise server in core.</p>"},{"location":"OnPremise/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of on premise server in dimensionless.</p>"},{"location":"OnPremise/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of on premise server electricity in gram / kilowatt_hour.</p>"},{"location":"OnPremise/#server_utilization_rate","title":"server_utilization_rate","text":"<p>on premise server utilization rate in dimensionless.</p>"},{"location":"OnPremise/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of on premise server in megabyte.</p>"},{"location":"OnPremise/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of on premise server in core.</p>"},{"location":"OnPremise/#fixed_nb_of_instances","title":"fixed_nb_of_instances","text":"<p>user defined number of on premise server instances in dimensionless.</p>"},{"location":"OnPremise/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"OnPremise/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"OnPremise/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>on premise server hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],     last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to on premise server hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"OnPremise/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>on premise server hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to on premise server hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"OnPremise/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per on premise server instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of on premise server</li> <li>on premise server utilization rate</li> <li>Base RAM consumption of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per on premise server instance\u2019s full calculation graph.</p>"},{"location":"OnPremise/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per on premise server instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of on premise server</li> <li>on premise server utilization rate</li> <li>Base CPU consumption of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per on premise server instance\u2019s full calculation graph.</p>"},{"location":"OnPremise/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of on premise server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>on premise server hour by hour ram need</li> <li>Available RAM per on premise server instance</li> <li>on premise server hour by hour cpu need</li> <li>Available CPU per on premise server instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#nb_of_instances","title":"nb_of_instances","text":"<p>fixed number of on premise server instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000],     last 10 vals [4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000, 4000]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of on premise server instances</li> <li>User defined number of on premise server instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Fixed number of on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly on premise server instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63],     last 10 vals [45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63, 45.63]  </p> <p>Depends directly on:  </p> <ul> <li>Fixed number of on premise server instances</li> <li>Carbon footprint fabrication of on premise server</li> <li>Lifespan of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly on premise server instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"OnPremise/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by on premise server instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [240.01, 240.0, 240.01, 240.01, 240.01, 240.01, 240.0, 240.0, 240.01, 240.0],     last 10 vals [240.01, 240.01, 240.0, 240.01, 240.01, 240.0, 240.0, 240.01, 240.0, 240.01]  </p> <p>Depends directly on:  </p> <ul> <li>Fixed number of on premise server instances</li> <li>Idle power of on premise server</li> <li>PUE of on premise server</li> <li>Hourly raw number of on premise server instances</li> <li>Power of on premise server </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by on premise server instances\u2019s full calculation graph.</p>"},{"location":"OnPremise/#energy_footprint","title":"energy_footprint","text":"<p>hourly on premise server energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0],     last 10 vals [24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by on premise server instances</li> <li>Average carbon intensity of on premise server electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly on premise server energy footprint\u2019s full calculation graph.</p>"},{"location":"Serverless/","title":"Serverless","text":""},{"location":"Serverless/#params","title":"Params","text":""},{"location":"Serverless/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Serverless/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of serverless in kilogram.</p>"},{"location":"Serverless/#power","title":"power","text":"<p>power of serverless in watt.</p>"},{"location":"Serverless/#lifespan","title":"lifespan","text":"<p>lifespan of serverless in year.</p>"},{"location":"Serverless/#idle_power","title":"idle_power","text":"<p>idle power of serverless in watt.</p>"},{"location":"Serverless/#ram","title":"ram","text":"<p>ram of serverless in gigabyte.</p>"},{"location":"Serverless/#cpu_cores","title":"cpu_cores","text":"<p>nb cpus cores of serverless in core.</p>"},{"location":"Serverless/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of serverless in dimensionless.</p>"},{"location":"Serverless/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of serverless electricity in gram / kilowatt_hour.</p>"},{"location":"Serverless/#server_utilization_rate","title":"server_utilization_rate","text":"<p>serverless utilization rate in dimensionless.</p>"},{"location":"Serverless/#base_ram_consumption","title":"base_ram_consumption","text":"<p>base ram consumption of serverless in megabyte.</p>"},{"location":"Serverless/#base_cpu_consumption","title":"base_cpu_consumption","text":"<p>base cpu consumption of serverless in core.</p>"},{"location":"Serverless/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Serverless/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Serverless/#hour_by_hour_cpu_need","title":"hour_by_hour_cpu_need","text":"<p>serverless hour by hour cpu need in core.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in core:     first 10 vals [0.53, 0.2, 0.53, 0.33, 0.33, 0.33, 0.07, 0.13, 0.47, 0.13],     last 10 vals [0.47, 0.33, 0.07, 0.53, 0.53, 0.13, 0.27, 0.33, 0.13, 0.47]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>CPU needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to serverless hour by hour cpu need\u2019s full calculation graph.</p>"},{"location":"Serverless/#hour_by_hour_ram_need","title":"hour_by_hour_ram_need","text":"<p>serverless hour by hour ram need in gigabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in GB:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming average occurrences across usage patterns</li> <li>RAM needed on server server to process streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to serverless hour by hour ram need\u2019s full calculation graph.</p>"},{"location":"Serverless/#available_ram_per_instance","title":"available_ram_per_instance","text":"<p>ExplainableQuantity in gigabyte, representing the available ram per serverless instance.  </p> <p>Example value: 114.9 gigabyte  </p> <p>Depends directly on:  </p> <ul> <li>RAM of serverless</li> <li>serverless utilization rate</li> <li>Base RAM consumption of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available RAM per serverless instance\u2019s full calculation graph.</p>"},{"location":"Serverless/#available_cpu_per_instance","title":"available_cpu_per_instance","text":"<p>ExplainableQuantity in core, representing the available cpu per serverless instance.  </p> <p>Example value: 19.6 core  </p> <p>Depends directly on:  </p> <ul> <li>Nb cpus cores of serverless</li> <li>serverless utilization rate</li> <li>Base CPU consumption of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Available CPU per serverless instance\u2019s full calculation graph.</p>"},{"location":"Serverless/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of serverless instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>serverless hour by hour ram need</li> <li>Available RAM per serverless instance</li> <li>serverless hour by hour cpu need</li> <li>Available CPU per serverless instance </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of serverless instances in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of serverless instances </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly serverless instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of serverless instances</li> <li>Carbon footprint fabrication of serverless</li> <li>Lifespan of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly serverless instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Serverless/#instances_energy","title":"instances_energy","text":"<p>hourly energy consumed by serverless instances in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],     last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of serverless instances</li> <li>Idle power of serverless</li> <li>PUE of serverless</li> <li>Hourly raw number of serverless instances</li> <li>Power of serverless </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly energy consumed by serverless instances\u2019s full calculation graph.</p>"},{"location":"Serverless/#energy_footprint","title":"energy_footprint","text":"<p>hourly serverless energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly energy consumed by serverless instances</li> <li>Average carbon intensity of serverless electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly serverless energy footprint\u2019s full calculation graph.</p>"},{"location":"Storage/","title":"Storage","text":""},{"location":"Storage/#params","title":"Params","text":""},{"location":"Storage/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"Storage/#carbon_footprint_fabrication","title":"carbon_footprint_fabrication","text":"<p>carbon footprint fabrication of storage in kilogram.</p>"},{"location":"Storage/#power","title":"power","text":"<p>power of storage in watt.</p>"},{"location":"Storage/#lifespan","title":"lifespan","text":"<p>lifespan of storage in year.</p>"},{"location":"Storage/#idle_power","title":"idle_power","text":"<p>idle power of storage in watt.</p>"},{"location":"Storage/#storage_capacity","title":"storage_capacity","text":"<p>storage capacity of storage in terabyte.</p>"},{"location":"Storage/#power_usage_effectiveness","title":"power_usage_effectiveness","text":"<p>pue of storage in dimensionless.</p>"},{"location":"Storage/#average_carbon_intensity","title":"average_carbon_intensity","text":"<p>average carbon intensity of storage electricity in gram / kilowatt_hour.</p>"},{"location":"Storage/#data_replication_factor","title":"data_replication_factor","text":"<p>data replication factor of storage in dimensionless.</p>"},{"location":"Storage/#data_storage_duration","title":"data_storage_duration","text":"<p>data storage duration of storage in hour.</p>"},{"location":"Storage/#base_storage_need","title":"base_storage_need","text":"<p>storage initial storage need in terabyte.</p>"},{"location":"Storage/#backwards-links","title":"Backwards links","text":"<ul> <li>Job</li> </ul>"},{"location":"Storage/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"Storage/#storage_delta","title":"storage_delta","text":"<p>hourly storage delta for storage in terabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0, 0.0, -0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming data upload across usage patterns</li> <li>Data replication factor of storage</li> <li>Data storage duration of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage delta for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#full_cumulative_storage_need","title":"full_cumulative_storage_need","text":"<p>full cumulative storage need for storage in terabyte.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in TB:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly storage delta for storage</li> <li>storage initial storage need </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Full cumulative storage need for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#raw_nb_of_instances","title":"raw_nb_of_instances","text":"<p>hourly raw number of instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Full cumulative storage need for storage</li> <li>Storage capacity of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly raw number of instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#nb_of_instances","title":"nb_of_instances","text":"<p>hourly number of instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],     last 10 vals [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly raw number of instances for storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#nb_of_active_instances","title":"nb_of_active_instances","text":"<p>hourly number of active instances for storage in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly streaming data upload across usage patterns</li> <li>Data replication factor of storage</li> <li>Data storage duration of storage</li> <li>Storage capacity of storage</li> <li>Hourly number of instances for storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly number of active instances for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>hourly storage instances fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of instances for storage</li> <li>Carbon footprint fabrication of storage</li> <li>Lifespan of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage instances fabrication footprint\u2019s full calculation graph.</p>"},{"location":"Storage/#instances_energy","title":"instances_energy","text":"<p>storage energy for storage in hour * watt.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in W * h:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Hourly number of active instances for storage</li> <li>Power of storage</li> <li>PUE of storage</li> <li>Hourly number of instances for storage</li> <li>Idle power of storage </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Storage energy for storage\u2019s full calculation graph.</p>"},{"location":"Storage/#energy_footprint","title":"energy_footprint","text":"<p>hourly storage energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],     last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]  </p> <p>Depends directly on:  </p> <ul> <li>Storage energy for storage</li> <li>Average carbon intensity of storage electricity </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Hourly storage energy footprint\u2019s full calculation graph.</p>"},{"location":"System/","title":"System","text":""},{"location":"System/#params","title":"Params","text":""},{"location":"System/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"System/#usage_patterns","title":"usage_patterns","text":"<p>A list of UsagePatterns.</p>"},{"location":"System/#backwards-links","title":"Backwards links","text":""},{"location":"System/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UsagePattern/","title":"UsagePattern","text":""},{"location":"UsagePattern/#params","title":"Params","text":""},{"location":"UsagePattern/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UsagePattern/#user_journey","title":"user_journey","text":"<p>An instance of UserJourney.</p>"},{"location":"UsagePattern/#devices","title":"devices","text":"<p>A list of Hardwares.</p>"},{"location":"UsagePattern/#network","title":"network","text":"<p>An instance of Network.</p>"},{"location":"UsagePattern/#country","title":"country","text":"<p>An instance of Country.</p>"},{"location":"UsagePattern/#hourly_user_journey_starts","title":"hourly_user_journey_starts","text":"<p>description to be done</p>"},{"location":"UsagePattern/#backwards-links","title":"Backwards links","text":"<ul> <li>System</li> </ul>"},{"location":"UsagePattern/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UsagePattern/#utc_hourly_user_journey_starts","title":"utc_hourly_user_journey_starts","text":"<p>usage pattern utc in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [8, 3, 8, 5, 5, 5, 1, 2, 7, 2],     last 10 vals [7, 5, 1, 8, 8, 2, 4, 5, 2, 7]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of visits from hypothesis</li> <li>devices country timezone from user data </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern UTC\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#nb_user_journeys_in_parallel","title":"nb_user_journeys_in_parallel","text":"<p>usage pattern hourly nb of user journeys in parallel in dimensionless.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in dimensionless:     first 10 vals [2.67, 1.0, 2.67, 1.67, 1.67, 1.67, 0.33, 0.67, 2.33, 0.67],     last 10 vals [2.33, 1.67, 0.33, 2.67, 2.67, 0.67, 1.33, 1.67, 0.67, 2.33]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern UTC</li> <li>Duration of user journey </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern hourly nb of user journeys in parallel\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_energy","title":"devices_energy","text":"<p>energy consumed by usage pattern devices in kilowatt_hour.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kWh:     first 10 vals [0.13, 0.05, 0.13, 0.08, 0.08, 0.08, 0.02, 0.03, 0.12, 0.03],     last 10 vals [0.12, 0.08, 0.02, 0.13, 0.13, 0.03, 0.07, 0.08, 0.03, 0.12]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of user journeys in parallel</li> <li>Power of device on which the user journey is made </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Energy consumed by usage pattern devices\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_energy_footprint","title":"devices_energy_footprint","text":"<p>energy footprint of usage pattern in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],     last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Energy consumed by usage pattern devices</li> <li>Average carbon intensity of devices country </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Energy footprint of usage pattern\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#devices_fabrication_footprint","title":"devices_fabrication_footprint","text":"<p>devices fabrication footprint of usage pattern in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>usage pattern hourly nb of user journeys in parallel</li> <li>Carbon footprint fabrication of device on which the user journey is made</li> <li>Lifespan of device on which the user journey is made</li> <li>device on which the user journey is made fraction of usage time </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Devices fabrication footprint of usage pattern\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#energy_footprint","title":"energy_footprint","text":"<p>usage pattern total energy footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.01, 0.0, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.01, 0.0],     last 10 vals [0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01, 0.01, 0.0, 0.01]  </p> <p>Depends directly on:  </p> <ul> <li>Energy footprint of usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern total energy footprint\u2019s full calculation graph.</p>"},{"location":"UsagePattern/#instances_fabrication_footprint","title":"instances_fabrication_footprint","text":"<p>usage pattern total fabrication footprint in kilogram.  </p> <p>Example value: 26281 values from 2024-12-31 22:00:00 to 2027-12-31 22:00:00 in kg:     first 10 vals [0.03, 0.01, 0.03, 0.02, 0.02, 0.02, 0.0, 0.01, 0.02, 0.01],     last 10 vals [0.02, 0.02, 0.0, 0.03, 0.03, 0.01, 0.01, 0.02, 0.01, 0.02]  </p> <p>Depends directly on:  </p> <ul> <li>Devices fabrication footprint of usage pattern </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to usage pattern total fabrication footprint\u2019s full calculation graph.</p>"},{"location":"UserJourney/","title":"UserJourney","text":""},{"location":"UserJourney/#params","title":"Params","text":""},{"location":"UserJourney/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UserJourney/#uj_steps","title":"uj_steps","text":"<p>A list of UserJourneySteps.</p>"},{"location":"UserJourney/#backwards-links","title":"Backwards links","text":"<ul> <li>UsagePattern</li> </ul>"},{"location":"UserJourney/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"UserJourney/#duration","title":"duration","text":"<p>ExplainableQuantity in hour, representing the duration of user journey.  </p> <p>Example value: 0.33 hour  </p> <p>Depends directly on:  </p> <ul> <li>Time spent on step 20 min streaming </li> </ul> <p>through the following calculations:  </p> <p>You can also visit the link to Duration of user journey\u2019s full calculation graph.</p>"},{"location":"UserJourneyStep/","title":"UserJourneyStep","text":""},{"location":"UserJourneyStep/#params","title":"Params","text":""},{"location":"UserJourneyStep/#name","title":"name","text":"<p>A human readable description of the object.</p>"},{"location":"UserJourneyStep/#user_time_spent","title":"user_time_spent","text":"<p>time spent on step 20 min streaming in minute.</p>"},{"location":"UserJourneyStep/#jobs","title":"jobs","text":"<p>A list of Jobs.</p>"},{"location":"UserJourneyStep/#backwards-links","title":"Backwards links","text":"<ul> <li>UserJourney</li> </ul>"},{"location":"UserJourneyStep/#calculated-attributes","title":"Calculated attributes","text":""},{"location":"best_practices/","title":"What about best practices ?","text":"<p>Best practices shine best when the systems they apply to have little variability. We\u2019ve seen in the Why e-footprint ? article that digital services are highly variable, so starting with a list of best practices to apply puts us at risk of spending efforts on actions that have very little leverage. This doesn\u2019t mean that best practices are useless; rather, they should come in as a resource after a modeling has show where to act.</p>"},{"location":"build_process/","title":"What about the build process of the service ?","text":"<p>Work in progress</p>"},{"location":"builders/","title":"e-footprint builders","text":"<p>e-footprint builders are higher-level functions that allows for the creation of e-footprint objects from fewer parameters than the raw model requires.</p>"},{"location":"builders/#default-builders","title":"Default builders","text":""},{"location":"builders/#devices","title":"Devices","text":"<pre><code>from efootprint.builders.hardware.devices_defaults import default_smartphone, default_laptop, default_box, default_screen\n</code></pre> <pre><code>print(default_smartphone())\n</code></pre> <pre><code>Hardware id-149c9c-Default-smartphone\n\ncarbon_footprint_fabrication: 30 kilogram\npower: 1 watt\nlifespan: 3 year\nfraction_of_usage_time: 3.6 hour / day\n</code></pre> <pre><code>print(default_laptop())\n</code></pre> <pre><code>Hardware id-b6dd66-Default-laptop\n\ncarbon_footprint_fabrication: 156 kilogram\npower: 50 watt\nlifespan: 6 year\nfraction_of_usage_time: 7.0 hour / day\n</code></pre> <pre><code>print(default_box())\n</code></pre> <pre><code>Hardware id-16d76d-Default-box\n\ncarbon_footprint_fabrication: 78 kilogram\npower: 10 watt\nlifespan: 6 year\nfraction_of_usage_time: 24.0 hour / day\n</code></pre> <pre><code>print(default_screen())\n</code></pre> <pre><code>Hardware id-c000d0-Default-screen\n\ncarbon_footprint_fabrication: 222 kilogram\npower: 30 watt\nlifespan: 6 year\nfraction_of_usage_time: 7.0 hour / day\n</code></pre>"},{"location":"builders/#network","title":"Network","text":"<pre><code>from efootprint.builders.hardware.network_defaults import default_mobile_network, default_wifi_network\n</code></pre> <pre><code>print(default_mobile_network())\n</code></pre> <pre><code>Network id-c5d031-Default-mobile-network\n\nbandwidth_energy_intensity: 0.12 kilowatt_hour / gigabyte\n\ncalculated_attributes:\n  energy_footprint: None\n</code></pre> <pre><code>print(default_wifi_network())\n</code></pre> <pre><code>Network id-523aa4-Default-wifi-network\n\nbandwidth_energy_intensity: 0.05 kilowatt_hour / gigabyte\n\ncalculated_attributes:\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#servers","title":"Servers","text":"<p>Different server types have same default attributes but their calculated attributes logic will be different.</p> <pre><code>from efootprint.builders.hardware.servers_defaults import default_autoscaling, default_serverless, default_onpremise\n</code></pre> <pre><code>print(default_autoscaling())\n</code></pre> <pre><code>Autoscaling id-8fdf9e-Default-autoscaling\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_serverless())\n</code></pre> <pre><code>Serverless id-f762a0-Default-serverless\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_onpremise())\n</code></pre> <pre><code>OnPremise id-e29660-Default-on-premise\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\nfixed_nb_of_instances: None\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#storage","title":"Storage","text":"<pre><code>from efootprint.builders.hardware.storage_defaults import default_hdd, default_ssd\n</code></pre> <pre><code>print(default_hdd())\n</code></pre> <pre><code>Storage id-65c609-Default-HDD-storage\n\ncarbon_footprint_fabrication: 20 kilogram\npower: 4.2 watt\nlifespan: 4 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_delta: None\n  full_cumulative_storage_need: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  nb_of_active_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code>print(default_ssd())\n</code></pre> <pre><code>Storage id-0995de-Default-SSD-storage\n\ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_delta: None\n  full_cumulative_storage_need: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  nb_of_active_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#overwriting-default-builders-attributes","title":"Overwriting default builders attributes","text":"<p>Any default builder attribute can be overwritten, for example:</p> <pre><code>from efootprint.abstract_modeling_classes.source_objects import SourceValue\nfrom efootprint.constants.units import u\n\nprint(default_ssd(\"My custom default SSD with higher carbon intensity\", average_carbon_intensity=SourceValue(300 * u.g / u.kWh)))\n</code></pre> <pre><code>Storage id-44542c-My-custom-default-SSD-with-higher-carbon-intensity\n\ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 300.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 5 year\nbase_storage_need: 0 terabyte\n\ncalculated_attributes:\n  storage_delta: None\n  full_cumulative_storage_need: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  nb_of_active_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#boaviztapi-builders","title":"BoaviztAPI builders","text":"<p>These builders make use of Boavizta\u2019s API to create objects with their full technical characteristics from fewer information like server name and cloud provider.</p>"},{"location":"builders/#boaviztapi-server-builders","title":"BoaviztAPI server builders","text":""},{"location":"builders/#cloud-server-from-cloud-provider-and-server-name","title":"Cloud server from cloud provider and server name","text":"<pre><code>from efootprint.builders.hardware.servers_boaviztapi import get_cloud_server\n</code></pre> <pre><code>print(get_cloud_server(\"aws\", \"m5.xlarge\", SourceValue(100 * u.g / u.kWh)))\n</code></pre> <pre><code>Autoscaling id-085909-aws-m52exlarge-instances\n\ncarbon_footprint_fabrication: 48.0 kilogram\npower: 25.94 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 0 watt\nram: 384.0 gigabyte\ncpu_cores: 48.0 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <pre><code># The server type can be changed, as well as lifespan, idle_power, power_usage_effectiveness and server_utilization_rate\nfrom efootprint.core.hardware.servers.serverless import Serverless\n\nprint(get_cloud_server(\n    \"aws\", \"m5.xlarge\", SourceValue(100 * u.g / u.kWh), base_efootprint_class=Serverless, lifespan=SourceValue(7 * u.year)))\n</code></pre> <pre><code>Serverless id-d551a6-aws-m52exlarge-instances\n\ncarbon_footprint_fabrication: 48.0 kilogram\npower: 25.94 watt\nlifespan: 7 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 0 watt\nram: 384.0 gigabyte\ncpu_cores: 48.0 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 0 gigabyte\nbase_cpu_consumption: 0 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#on-premise-server-from-config","title":"On premise server from config","text":"<pre><code>from efootprint.builders.hardware.servers_boaviztapi import on_premise_server_from_config\n</code></pre> <pre><code>print(on_premise_server_from_config(\n    \"My server\", nb_of_cpu_units=2, nb_of_cores_per_cpu_unit=24,nb_of_ram_units=6,\n    ram_quantity_per_unit_in_gb=16, average_carbon_intensity=SourceValue(100 * u.g / u.kWh),base_ram_consumption=SourceValue(1 * u.MB)))\n</code></pre> <pre><code>OnPremise id-35ac11-My-server\n\ncarbon_footprint_fabrication: 670.0 kilogram\npower: 520.99 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.7 dimensionless\nidle_power: 0 watt\nram: 96 gigabyte\ncpu_cores: 48 core\npower_usage_effectiveness: 1.4 dimensionless\nbase_ram_consumption: 1 megabyte\nbase_cpu_consumption: 0 core\nfixed_nb_of_instances: None\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre>"},{"location":"builders/#job-builder-from-boaviztas-ecobenchmark-data","title":"Job builder from Boavizta\u2019s ecobenchmark data","text":"<pre><code>from efootprint.builders.usage.job_ecobenchmark.ecobenchmark_job_builder import ecobenchmark_job\n\nserver = default_autoscaling()\nstorage = default_ssd()\njob = ecobenchmark_job(\n    \"test job\", server, storage, data_upload=SourceValue(1 * u.MB), data_download=SourceValue(1 * u.MB), data_stored=SourceValue(1 * u.MB),\n    technology='php-symfony')\n\nprint(job)\n</code></pre> <pre><code>2024-09-27 09:38:57,818 - INFO - File /ecobenchmark_results__raw.csv already exists, we do not overwrite it\n\n\nJob id-abc585-test-job\n\njob_type: undefined\nserver: id-905565-Default-autoscaling\nstorage: id-c5277f-Default-SSD-storage\ndata_upload: 1 megabyte\ndata_download: 1 megabyte\ndata_stored: 1 megabyte\nrequest_duration: 1 second\nram_needed: 6.15 megabyte\ncpu_needed: 0.08 core\ndescription:\n\ncalculated_attributes:\n            hourly_occurrences_across_usage_patterns: None\n  hourly_avg_occurrences_across_usage_patterns: None\n  hourly_data_upload_across_usage_patterns: None\n  hourly_data_stored_across_usage_patterns: None\n</code></pre> <pre><code># List of available technologies\nfrom efootprint.builders.usage.job_ecobenchmark.ecobenchmark_job_builder import get_ecobenchmark_technologies\nprint(get_ecobenchmark_technologies())\n</code></pre> <pre><code>['go-pgx', 'jvm-kotlin-spring', 'node-express-sequelize', 'php-symfony', 'rust-actix-sqlx']\n</code></pre> <pre><code>\n</code></pre>"},{"location":"database_modeling/","title":"How to model a database","text":"<p>Work in progress</p>"},{"location":"design_deep_dive/","title":"e-footprint design choices deep dive","text":"<p>Work in progress</p>"},{"location":"efootprint_scope/","title":"e-footprint scope","text":"<p>e-footprint aims at being a digital service carbon footprint modeling tool (more on what is means later). First of all, what is a digital service ? We call digital service any set of information technology tools that allow users to accomplish something, including all hardware, software, and peripheral equipment. In other words, the sum of all digital services makes up the entirety of the digital world. This scope is very large and that\u2019s why e-footprint has taken a detailed low-level approach. This fine granularity is complemented by a library of higher-level builders that allow for the creation of objects with fewer parameters for better usability. Of course some digital services will be harder to model with e-footprint than others, but all can be approximated. Refer to the how-to section for more information on how to model different types of services.</p> <p>Read the Why e-footprint ? article to understand the need for such a tool when ecodesigning a digital service.</p>"},{"location":"evolution_across_time/","title":"How to model the evolution of a system across time","text":"<p>Work in progress</p>"},{"location":"explanation_overview/","title":"Explanation overview","text":"<p>This section is composed of several very useful articles to understand in detail what e-footprint is and how to use it to ecodesign your digital service.</p> <ul> <li>the e-footprint scope article defines digital services and states that it is possible to model any digital service with e-footprint.</li> <li>Why e-footprint ? unfolds the analysis that led to the development of e-footprint.</li> <li>How to get started suggests the identification of an e-footprint owner within any team who wants to ecodesign its service.</li> <li>The e-footprint methodology details the steps in the iterative modeling process.</li> <li>e-footprint design choices deep dive goes into fine details as to why the e-footprint model has been built the way it is.</li> </ul>"},{"location":"get_started/","title":"Get started","text":""},{"location":"get_started/#who-is-e-footprint-for","title":"Who is e-footprint for ?","text":"<p>e-footprint is a tool for teams who want to ecodesign the digital services they develop (for example, a product team in a start up or big company). Even if it is a technical tool, it is not only for the most technical people in the team (architects, devs, data scientists). In fact, the environmental impact of the service is everyone\u2019s responsibility, just as its commercial success is. Moreover, we\u2019ve seen the Why e-footprint ? article that e-footprint also incorporates a user journey and usage language that will speak to tech professionals with a less technical background.</p>"},{"location":"get_started/#team-organization","title":"Team organization","text":"<p>What we recommend is that an e-footprint owner be identified in the team, who will be responsible for the building and maintenance of the modeling by soliciting all team members for their input. If using the python package, this person must have basic python skills, but an interface is underway that will completely remove any need for a technical background to get started with e-footprint. The e-footprint owner can thus be any person from the team, with or without technical background. The only prerequisite is a willingness to gain skill on the understanding and use of the tool.</p> <p>While there is one owner responsible for fully understanding the modeling of the digital service built by the team, when ecodesign decisions are made or when the impact of a new feature is anticipated, the whole team looks at the simulation and makes a collegiate decision.</p> <p>The e-footprint model owner is very much advised to read and understand the e-footprint methodology, why e-footprint has been built, and its model choices.</p>"},{"location":"links/","title":"External links","text":"<ul> <li>article on the use of e-footprint for the analysis of the Paylib service (in French)</li> </ul>"},{"location":"machine_learning_workflow/","title":"How to model a machine learning workflow","text":"<p>Work in progress</p>"},{"location":"measurement_tools/","title":"What about measurement tools ?","text":"<p>Work in progress</p>"},{"location":"methodology/","title":"The e-footprint methodology","text":""},{"location":"methodology/#high-level-modeling-then-refinement","title":"High-level modeling then refinement","text":"<p>Ecodesigning with e-footprint is an iterative process. Since e-footprint is a modeling tool, it is possible (and advised) to start with a very high level modeling of the studied system. This first modeling will be very inaccurate but give useful orders of magnitude: I know that the impact potential of my ecodesign initiative will be much greater if my first modeling shows me 1000 tons of CO2 / year than if it shows only 100 kg / year, and I will size my efforts accordingly. An advantage of this approach is that it doesn\u2019t require the installation of any tool. Then, depending on the results of this first analysis, I have 3 choices:</p> <ul> <li>Stop modeling because my system is too small to justify investing in ecodesigning it.</li> <li>Invest effort to increase the granularity of my modeling because it is not enough to guide decision.</li> <li>Decide that the model is detailed enough to make decisions and got to the next step.</li> </ul>"},{"location":"methodology/#modeling-analysis","title":"Modeling analysis","text":"<p>If the system is big enough, and once the model has been refined enough, comes the analysis time. It consists in diving into the results of the model to understand where emissions come from and what the emission reduction opportunities are. For example, if the analysis shows that much of the impact comes from the network, I can look up the network ecodesign best practices for inspiration, or simply ask the tech team. </p>"},{"location":"methodology/#simulation-and-priorisation","title":"Simulation and priorisation","text":"<p>When ecodesign opportunities or new features are considered, they are implemented as changes to the e-footprint model, e-footprint computes the new impact of the system, and the difference between the old and the new footprint is the environmental return on investment of the action. Since modeling often takes orders of magnitude less time than implementing, this approach allows for an efficient prioritization of effort: you will finally be able to choose the most impactful best practice for your particular conditions !</p>"},{"location":"object_reference/","title":"How to read the object reference","text":"<p>Here is the structure of an e-footprint object page:</p>"},{"location":"object_reference/#object-name","title":"Object name","text":""},{"location":"object_reference/#params","title":"Params","text":"<p>The parameters required for the creation of the Python object. Parameters can be attributes representing a physical or technical property of the object, or another e-footprint object.</p>"},{"location":"object_reference/#backwards-links","title":"Backwards links","text":"<p>The list of objects that have the current object as attribute</p>"},{"location":"object_reference/#calculated-attributes","title":"Calculated attributes","text":"<p>Calculations made by the e-footprint model. For each calculated attribute, its direct parents and related formula are given, as well as a link to its calculation graph representing its full origin.</p>"},{"location":"only_CO2/","title":"Why only CO2 ?","text":"<p>Work in progress</p>"},{"location":"server_to_server_interaction/","title":"How to model server to server interaction","text":"<p>Work in progress</p>"},{"location":"tutorial/","title":"e-footprint quickstart","text":"<p>This notebook provides an example scenario that you can use to get familiar with the Python API of efootprint: the daily video consumption of all French households on a big streaming platform.</p> <p>You will get to describe:</p> <ul> <li>the infrastructure involved (servers with auto-scaling settings, storage and network)</li> <li>the user journey involving 2 steps (Streaming, Upload)</li> <li>the usage pattern and the device population that executes it (the laptops of all French households)</li> </ul>"},{"location":"tutorial/#import-the-packages","title":"Import the packages","text":"<p>\u26a0 If this steps fails, remember to run ipython kernel install --user --name=efootprint-kernel inside your python virtual environement (initializable with <code>poetry install</code>) to be able to select efootprint-kernel as the jupyter kernel.</p> <pre><code>import os\n\nfrom efootprint.abstract_modeling_classes.source_objects import SourceValue, Sources, SourceObject\nfrom efootprint.core.usage.user_journey import UserJourney\nfrom efootprint.core.usage.user_journey_step import UserJourneyStep\nfrom efootprint.core.usage.job import Job\nfrom efootprint.core.hardware.servers.autoscaling import Autoscaling\nfrom efootprint.core.hardware.storage import Storage\nfrom efootprint.core.usage.usage_pattern import UsagePattern\nfrom efootprint.core.hardware.network import Network\nfrom efootprint.core.system import System\nfrom efootprint.constants.countries import Countries\nfrom efootprint.constants.units import u\nfrom efootprint.utils.object_relationships_graphs import USAGE_PATTERN_VIEW_CLASSES_TO_IGNORE\nfrom efootprint.builders.hardware.devices_defaults import default_laptop\n</code></pre>"},{"location":"tutorial/#define-the-infrastructure","title":"Define the infrastructure","text":"<p>An e-footprint object has a name and attributes describing its technical and environmental characteristics:</p> <pre><code>server = Autoscaling(\n    \"server\",\n    carbon_footprint_fabrication=SourceValue(600 * u.kg, Sources.BASE_ADEME_V19),\n    power=SourceValue(300 * u.W, Sources.HYPOTHESIS),\n    lifespan=SourceValue(6 * u.year, Sources.HYPOTHESIS),\n    idle_power=SourceValue(50 * u.W, Sources.HYPOTHESIS),\n    ram=SourceValue(128 * u.GB, Sources.HYPOTHESIS),\n    cpu_cores=SourceValue(24 * u.core, Sources.HYPOTHESIS),\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(100 * u.g / u.kWh, Sources.HYPOTHESIS),\n    server_utilization_rate=SourceValue(0.9 * u.dimensionless, Sources.HYPOTHESIS),\n    base_ram_consumption=SourceValue(300 * u.MB, Sources.HYPOTHESIS),\n    base_cpu_consumption=SourceValue(2 * u.core, Sources.HYPOTHESIS)\n)\n</code></pre> <p>Moreover, all e-footprint objects have a calculated_attributes attributes that shows the list of attributes that are setup as None and then computed by e-footprint when the modeling is over. For example, for our server:</p> <pre><code>print(server)\n</code></pre> <pre><code>Autoscaling id-e8b1b3-server\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: None\n  hour_by_hour_ram_need: None\n  available_ram_per_instance: None\n  available_cpu_per_instance: None\n  raw_nb_of_instances: None\n  nb_of_instances: None\n  instances_fabrication_footprint: None\n  instances_energy: None\n  energy_footprint: None\n</code></pre> <p>More information on e-footprint objects\u2019 calculated_attributes can be found in the e-footprint documentation.</p> <pre><code>storage = Storage(\n    \"SSD storage\",\n    carbon_footprint_fabrication=SourceValue(160 * u.kg, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    power=SourceValue(1.3 * u.W, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    lifespan=SourceValue(6 * u.years, Sources.HYPOTHESIS),\n    idle_power=SourceValue(0 * u.W, Sources.HYPOTHESIS),\n    storage_capacity=SourceValue(1 * u.TB, Sources.STORAGE_EMBODIED_CARBON_STUDY),\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(100 * u.g / u.kWh),\n    data_replication_factor=SourceValue(3 * u.dimensionless, Sources.HYPOTHESIS),\n    data_storage_duration = SourceValue(2 * u.year, Sources.HYPOTHESIS),\n    base_storage_need = SourceValue(100 * u.TB, Sources.HYPOTHESIS)\n    )\n</code></pre> <p>Apart from environmental and technical attributes, e-footprint objects can link to other e-footprint objects. For example, jobs, that run on a server and upload data to a storage, are attributes of user journey steps:</p>"},{"location":"tutorial/#define-the-user-journey","title":"Define the user journey","text":"<p>This is the modeling of the average daily usage of the streaming platform in France:</p> <pre><code>streaming_step = UserJourneyStep(\n    \"20 min streaming\",\n    user_time_spent=SourceValue(20 * u.min, Sources.USER_DATA),\n    jobs=[\n        Job(\n            \"streaming\",\n            server=server,\n            storage=storage,\n            data_upload=SourceValue(0.05 * u.MB, Sources.USER_DATA),\n            data_download=SourceValue(800 * u.MB, Sources.USER_DATA),\n            data_stored=SourceValue(0.05 * u.MB, Sources.USER_DATA),\n            request_duration=SourceValue(4 * u.min, Sources.HYPOTHESIS),\n            cpu_needed=SourceValue(1 * u.core, Sources.HYPOTHESIS),\n            ram_needed=SourceValue(50 * u.MB, Sources.HYPOTHESIS)\n            )\n        ]\n    )\nupload_step = UserJourneyStep(\n    \"1 min video capture then upload\",\n    user_time_spent=SourceValue(70 * u.s, Sources.USER_DATA),\n    jobs=[\n        Job(\n            \"video upload\",\n            server=server,\n            storage=storage,\n            data_upload=SourceValue(20 * u.MB, Sources.USER_DATA),\n            data_download=SourceValue(0 * u.GB, Sources.USER_DATA),\n            data_stored=SourceValue(20 * u.MB, Sources.USER_DATA),\n            request_duration=SourceValue(2 * u.s, Sources.HYPOTHESIS),\n            cpu_needed=SourceValue(1 * u.core, Sources.HYPOTHESIS),\n            ram_needed=SourceValue(50 * u.MB, Sources.HYPOTHESIS)\n        )\n    ]\n)\n</code></pre> <p>The user journey is then simply a list of user journey steps:</p> <pre><code>user_journey = UserJourney(\"Mean video consumption user journey\", uj_steps=[streaming_step, upload_step])\n</code></pre>"},{"location":"tutorial/#describe-usage","title":"Describe usage","text":"<p>An e-footprint usage pattern links a user journey to devices that run it, a network, a country, and the number of times the user journey gets executed hour by hour. </p> <pre><code># Let\u2019s build synthetic usage data by summing a linear growth with a sinusoidal fluctuation components, then adding daily variation\nfrom datetime import datetime, timedelta\n\nfrom efootprint.builders.time_builders import linear_growth_hourly_values\n\nstart_date = datetime.strptime(\"2025-01-01\", \"%Y-%m-%d\")\nnb_of_hours = 3 * 365 * 24\n\nlinear_growth = linear_growth_hourly_values(nb_of_hours, start_value=5000, end_value=100000, start_date=start_date)\nlinear_growth.set_label(\"Hourly user journeys linear growth component\")\n\nlinear_growth.plot()\n</code></pre> <pre><code>from efootprint.builders.time_builders import sinusoidal_fluct_hourly_values\n\nsinusoidal_fluct = sinusoidal_fluct_hourly_values(\n    nb_of_hours, sin_fluct_amplitude=3000, sin_fluct_period_in_hours=3 * 30 * 24, start_date=start_date)\n\nlin_growth_plus_sin_fluct = (linear_growth + sinusoidal_fluct).set_label(\"Hourly user journeys linear growth with sinusoidal fluctuations\")\n\nlin_growth_plus_sin_fluct.plot()\n</code></pre> <pre><code># Let\u2019s add daily variations because people use the system less at night\nfrom efootprint.builders.time_builders import daily_fluct_hourly_values\n\ndaily_fluct = daily_fluct_hourly_values(nb_of_hours, fluct_scale=0.8, hour_of_day_for_min_value=4, start_date=start_date)\ndaily_fluct.set_label(\"Daily volume fluctuation\")\n\ndaily_fluct.plot(xlims=[start_date, start_date+timedelta(days=1)])\n</code></pre> <pre><code>hourly_user_journey_starts = lin_growth_plus_sin_fluct * daily_fluct\nhourly_user_journey_starts.set_label(\"Hourly number of user journey started\")\n\nhourly_user_journey_starts.plot(xlims=[start_date, start_date + timedelta(days=7)])\n</code></pre> <pre><code># Over 3 years the daily fluctuation color the area between daily min and max number of hourly user journeys\nhourly_user_journey_starts.plot()\n</code></pre> <pre><code>network = Network(\n        \"WIFI network\",\n        bandwidth_energy_intensity=SourceValue(0.05 * u(\"kWh/GB\"), Sources.TRAFICOM_STUDY))\n\nusage_pattern = UsagePattern(\n    \"Daily video streaming consumption\",\n    user_journey=user_journey,\n    devices=[default_laptop()],\n    network=network,\n    country=Countries.FRANCE(),\n    hourly_user_journey_starts=hourly_user_journey_starts\n)\n\nsystem = System(\"System\", usage_patterns=[usage_pattern])\n</code></pre> <pre><code>2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for System System\n2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey\n2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption\n2024-09-27 09:42:25,842 - INFO - Computing calculated attributes for Job streaming\n2024-09-27 09:42:25,844 - INFO - Computing calculated attributes for Job video upload\n2024-09-27 09:42:25,846 - INFO - Computing calculated attributes for Autoscaling server\n2024-09-27 09:42:25,853 - INFO - Computing calculated attributes for Storage SSD storage\n2024-09-27 09:42:25,868 - INFO - Computing calculated attributes for Network WIFI network\n2024-09-27 09:42:25,870 - INFO - Finished computing System modeling\n</code></pre>"},{"location":"tutorial/#results","title":"Results","text":""},{"location":"tutorial/#computed-attributes","title":"Computed attributes","text":"<p>Now all calculated_attributes have been computed:</p> <pre><code>print(server)\n</code></pre> <pre><code>Autoscaling id-e8b1b3-server\n\ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n\ncalculated_attributes:\n  hour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in core:\n    first 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5, 205.65, 272.44],\n    last 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48, 9652.94, 8323.25, 6896.04, 5468.6]\n  hour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in GB:\n    first 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\n    last 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16, 344.8, 273.43]\n  available_ram_per_instance: 114.9 gigabyte\n  available_cpu_per_instance: 19.6 core\n  raw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in dimensionless:\n    first 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\n    last 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66, 351.84, 279.01]\n  nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in dimensionless:\n    first 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\n    last 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0, 280.0]\n  instances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kg:\n    first 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\n    last 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\n  instances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kWh:\n    first 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\n    last 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9, 126.67, 100.5]\n  energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in kg:\n    first 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\n    last 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67, 10.05]\n</code></pre>"},{"location":"tutorial/#system-footprint-overview","title":"System footprint overview","text":"<pre><code>system.plot_footprints_by_category_and_object(\"System footprints.html\")\n</code></pre>"},{"location":"tutorial/#object-relationships-graph","title":"Object relationships graph","text":"<p>Hover over a node to get the numerical values of its environmental and technical attributes. For simplifying the graph the Network and Hardware nodes are not shown.</p> <pre><code>usage_pattern.object_relationship_graph_to_file(\"object_relationships_graph.html\", width=\"800px\", height=\"500px\",\n    classes_to_ignore=USAGE_PATTERN_VIEW_CLASSES_TO_IGNORE, notebook=True)\n</code></pre>"},{"location":"tutorial/#calculus-graph","title":"Calculus graph","text":"<p>Any e-footprint calculation can generate its calculation graph for full auditability. Hover on a calculus node to display its formula and numeric value.</p> <pre><code>usage_pattern.devices_fabrication_footprint.calculus_graph_to_file(\n    \"device_population_fab_footprint_calculus_graph.html\", width=\"800px\", height=\"500px\", notebook=True)\n</code></pre>"},{"location":"tutorial/#analysing-the-impact-of-a-change","title":"Analysing the impact of a change","text":""},{"location":"tutorial/#numeric-input-change","title":"Numeric input change","text":"<p>Any input change automatically triggers the computation of calculations that depend on the input. For example, let\u2019s say that the average data download consumption of the streaming step decreased because of a change in default video quality:</p> <pre><code>streaming_step.jobs[0].data_download = SourceValue(500 * u.MB, Sources.USER_DATA)\n</code></pre> <pre><code>system.plot_emission_diffs(\"bandwith reduction.png\")\n</code></pre> <pre><code>Plotting the impact of streaming\u2019s data_download changing from 800 megabyte to 500 megabyte\n</code></pre>"},{"location":"tutorial/#system-structure-change","title":"System structure change","text":"<p>Now let\u2019s make a more complex change, like adding a conversation with a generative AI chatbot before streaming the video. Numerical values don\u2019t matter so much for the sake of this tutorial, please check out the e-footprint-modelings github repository for a more detailed modeling of the impact of LLM\u202ftraining and inference.</p> <pre><code>llm_server = Autoscaling(\n    \"Inference GPU server\",\n    carbon_footprint_fabrication=SourceValue(4900 * u.kg, Sources.HYPOTHESIS),\n    power=SourceValue(6400 * u.W, Sources.HYPOTHESIS),\n    lifespan=SourceValue(5 * u.year, Sources.HYPOTHESIS),\n    idle_power=SourceValue(500 * u.W, Sources.HYPOTHESIS),\n    ram=SourceValue(128 * u.GB, Sources.HYPOTHESIS),\n    cpu_cores=SourceValue(16 * u.core, Sources.HYPOTHESIS), # Used to represent GPUs because e-footprint doesn\u2019t natively model GPU resources yet.\n    power_usage_effectiveness=SourceValue(1.2 * u.dimensionless, Sources.HYPOTHESIS),\n    average_carbon_intensity=SourceValue(300 * u.g / u.kWh, Sources.HYPOTHESIS),\n    server_utilization_rate=SourceValue(1 * u.dimensionless, Sources.HYPOTHESIS),\n    base_ram_consumption=SourceValue(0 * u.MB, Sources.HYPOTHESIS),\n    base_cpu_consumption=SourceValue(0 * u.core, Sources.HYPOTHESIS)\n)\n</code></pre> <pre><code>llm_chat_step = UserJourneyStep(\n    \"Chat with LLM to select video\", user_time_spent=SourceValue(1 * u.min, Sources.HYPOTHESIS),\n    jobs=[Job(\"LLM API call\", llm_server, storage, SourceValue(300 * u.kB, Sources.USER_DATA),\n              SourceValue(300 * u.kB, Sources.USER_DATA), SourceValue(300 * u.kB, Sources.USER_DATA),\n              request_duration=SourceValue(5 * u.s, Sources.HYPOTHESIS),\n              cpu_needed=SourceValue(16 * u.core, Sources.HYPOTHESIS),\n              ram_needed=SourceValue(128 * u.GB, Sources.HYPOTHESIS))])\n</code></pre> <pre><code># Adding the new step is simply an attribute update.\n# Don\u2019t use user_journey.uj_steps.append(llm_chat_step) as e-footprint recomputation logic wouldn\u2019t be triggered\nuser_journey.uj_steps += [llm_chat_step]\n</code></pre> <pre><code>2024-09-27 09:42:27,179 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey\n2024-09-27 09:42:27,180 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption\n2024-09-27 09:42:27,189 - INFO - Computing calculated attributes for Job streaming\n2024-09-27 09:42:27,196 - INFO - Computing calculated attributes for Job video upload\n2024-09-27 09:42:27,199 - INFO - Computing calculated attributes for Job LLM API call\n2024-09-27 09:42:27,201 - INFO - Computing calculated attributes for Autoscaling server\n2024-09-27 09:42:27,207 - INFO - Computing calculated attributes for Storage SSD storage\n2024-09-27 09:42:27,224 - INFO - Computing calculated attributes for Network WIFI network\n2024-09-27 09:42:27,227 - INFO - Computing calculated attributes for Autoscaling Inference GPU server\n</code></pre> <pre><code>system.plot_emission_diffs(\"LLM chat addition.png\")\n</code></pre> <pre><code>Plotting the impact of Mean video consumption user journey\u2019s uj_steps changing from ['20 min streaming', '1 min video capture then upload'] to ['20 min streaming', '1 min video capture then upload', 'Chat with LLM to select video']\n</code></pre> <p>We can see that server energy footprint has been multiplied by more than 10 and the rest of the impact is quite negligible. Good to know to make informed decisions ! Of course the impact is very much dependent on assumptions. If the LLM\u202fserver ran on low-carbon electricity for example:</p> <pre><code>llm_server.average_carbon_intensity=SourceValue(50 * u.g / u.kWh, Sources.HYPOTHESIS)\nsystem.plot_emission_diffs(\"lower LLM inference carbon intensity.png\")\n</code></pre> <pre><code>Plotting the impact of Inference GPU server\u2019s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour\n</code></pre>"},{"location":"tutorial/#recap-of-all-system-changes","title":"Recap of all System changes","text":"<pre><code>system.plot_emission_diffs(\"All system diffs.png\", from_start=True)\n</code></pre> <pre><code>Plotting the impact of:\n\n- streaming\u2019s data_download changing from 800 megabyte to 500 megabyte\n- Mean video consumption user journey\u2019s uj_steps changing from ['20 min streaming', '1 min video capture then upload'] to ['20 min streaming', '1 min video capture then upload', 'Chat with LLM to select video']\n- Inference GPU server\u2019s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour\n</code></pre>"},{"location":"why_efootprint/","title":"Why e-footprint ?","text":"<p>For a more in-depth discussion of e-footprint\u2019s genesis by its designer, watch the e-footprint presentation made by Vincent Villet at the 2023 Paris Impact Summit (9 minutes, in French).</p>"},{"location":"why_efootprint/#the-need-for-modeling-in-ecodesign","title":"The need for modeling in ecodesign","text":"<p>We define ecodesign as the process of building or maintaining a digital service while minimizing its environmental impact. To do so, we first need to understand where its impact comes from and then be able to anticipate the impact of considered actions to choose the most appropriate one.</p> <p>How much intuition can we use to prioritize ecodesign actions ? Is it enough to give tech people a green IT training and let their experience do the rest ? This approach works well for web performance, where the combination of theory and practice allows experienced professionals to build an intuitive understanding of their systems, but there is a major difference between a digital service performance and its environmental impact: a poor performance is perceptible (and even often frustrating !), while the environmental impact lives entirely outside of the reach of our senses. This great distance in space and time between our actions and their impacts (described in more details in this excellent article from Jean-Marc Jancovici) is a very new and difficult problem for humanity, touches every aspect of modern life, and is especially salient for digital services. It calls for a fully explicit model because building intuition is simply not possible.</p>"},{"location":"why_efootprint/#how-precise-does-the-modeling-need-to-be","title":"How precise does the modeling need to be ?","text":"<p>Now that we know that we need an explicit model, we need to know how precise the model needs to be to allow for good decision-making. Indeed, any understanding is a tradeoff between precision and usability. For example, having in mind a mental model that says \"for an average consumer car, driving at 110km/h on the highway instead of 130km/h reduces the speed by 15% but the oil consumption by 25%\" is simplistic because many factors influence the result (the exact shape of the car, the wind, the profile of the road etc.). However, I consider it usable for the decision I have to make (which speed to drive at when taking the highway) because I know that the exact oil saving figure for the particular vehicle I\u2019m driving won\u2019t be so far from this simplified average. This example introduces two important concepts that physicists often use:</p> <ul> <li>reduced-order modeling, where the mathematical complexity of a real world phenomenon is voluntarily simplified while preserving enough precision for the task at hand.</li> <li>order of magnitude, an approximate figure that is easier to obtain and use in reduced-order model computations, and enough to make informed decisions.</li> </ul> <p>The more complex and variable the studied system is, the more complex (=high order) the corresponding model needs to be before it delivers useful orders of magnitude.</p> <p>How complex would a good enough model need to be to effectively guide ecodesign decisions ? It depends on the complexity and variability of digital services. Let\u2019s make some observations and some simple thought experiments to find out the essential parameters.</p> <p>First and foremost, digital services vary wildly in usage volumes. The biggest social networks have billions of daily visits while your company showcase website might have only a few hundreds. The same ecodesign action leading to a 10% energy consumption reduction will be vastly more impactful on the big system than on the small one, so usage volume input is critical.</p> <p>Then let\u2019s look at the four key components of digital services: user devices, network, servers and storage. Different services make use of them in vastly different proportions, making each of them sometimes negligible, sometimes crucial. For example, streaming services make a heavy use of the network, gen AI services use a lot of computing power in servers, and social networks store huge amounts of data. All these different types of objects thus need to be represented in our model.</p> <p>Lastly, many ecodesign actions involve changing the way users interact with the service, so there needs to be a way to tell the model that users have changed the actions that they typically do. Hence, user journeys must be part of the model inputs.</p> <p>We now have a framework for thinking about the physicality of our digital service: digital services must at least be described in terms of user journeys (UserJourney) with their usage information (UsagePattern). Each user journey is made of steps (UserJourneyStep) that make requests (Job) through a network (Network), on a server (Server), possibly saving data to storage (Storage).</p> <p>e-footprint was born from the above analysis and the observation that no other tool had taken a modeling approach bringing together all these objects. It started as an Excel modeling and then evolved towards a Python package to allow for greater flexibility in the combination of objects.</p> <p>Moreover, it is necessary to take a life cycle analysis approach to understand all aspects of environmental impact from cradle to grave. Here the orders of magnitude show that focusing on the fabrication and run phases of the service is a good first approximation, neglecting transport and end of life.</p>"},{"location":"why_efootprint/#the-difference-between-the-model-and-the-modeling","title":"The difference between the model and the modeling","text":"<p>e-footprint is a modeling tool that embeds a model of the relationships between components of a digital service and the associated environmental footprint. When you describe your digital service with e-footprint, what you get is a modeling of this service.</p> <p>For more details on the model design decisions in e-footprint, check the model design deep dive.</p>"},{"location":"why_efootprint/#get-started","title":"Get started","text":"<p>Now that you understand the concepts on which e-footprint is built, read the How to get started article to start your ecodesign journey !</p>"}]}
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+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
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+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1233,7 +1233,7 @@ <h1>How to model server to server interaction</h1>
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+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
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diff --git a/sitemap.xml.gz b/sitemap.xml.gz
index 521590baa7a165996e14f7aa9d1e8ce30012b56b..294996bd2048a666df3699f24a79ed344e39a4ab 100644
GIT binary patch
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delta 13
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diff --git a/tutorial/index.html b/tutorial/index.html
index 8d54bd8c..57ada278 100644
--- a/tutorial/index.html
+++ b/tutorial/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
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-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1533,7 +1533,7 @@ <h2 id="define-the-infrastructure">Define the infrastructure</h2>
 <p>Moreover, all e-footprint objects have a <em>calculated_attributes</em> attributes that shows the list of attributes that are setup as None and then computed by e-footprint when the modeling is over. For example, for our server:</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">server</span><span class="p">)</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Autoscaling id-d33c18-server
+<div class="language-text highlight"><pre><span></span><code>Autoscaling id-e8b1b3-server
 
 carbon_footprint_fabrication: 600 kilogram
 power: 300 watt
@@ -1630,7 +1630,6 @@ <h2 id="describe-usage">Describe usage</h2>
 </span><span id="__span-6-11"><a id="__codelineno-6-11" name="__codelineno-6-11" href="#__codelineno-6-11"></a>
 </span><span id="__span-6-12"><a id="__codelineno-6-12" name="__codelineno-6-12" href="#__codelineno-6-12"></a><span class="n">linear_growth</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
 </span></code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_18_0.png" /></p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="kn">from</span> <span class="nn">efootprint.builders.time_builders</span> <span class="kn">import</span> <span class="n">sinusoidal_fluct_hourly_values</span>
 </span><span id="__span-7-2"><a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a>
 </span><span id="__span-7-3"><a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a><span class="n">sinusoidal_fluct</span> <span class="o">=</span> <span class="n">sinusoidal_fluct_hourly_values</span><span class="p">(</span>
@@ -1640,7 +1639,6 @@ <h2 id="describe-usage">Describe usage</h2>
 </span><span id="__span-7-7"><a id="__codelineno-7-7" name="__codelineno-7-7" href="#__codelineno-7-7"></a>
 </span><span id="__span-7-8"><a id="__codelineno-7-8" name="__codelineno-7-8" href="#__codelineno-7-8"></a><span class="n">lin_growth_plus_sin_fluct</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
 </span></code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_19_0.png" /></p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-8-1"><a id="__codelineno-8-1" name="__codelineno-8-1" href="#__codelineno-8-1"></a><span class="c1"># Let’s add daily variations because people use the system less at night</span>
 </span><span id="__span-8-2"><a id="__codelineno-8-2" name="__codelineno-8-2" href="#__codelineno-8-2"></a><span class="kn">from</span> <span class="nn">efootprint.builders.time_builders</span> <span class="kn">import</span> <span class="n">daily_fluct_hourly_values</span>
 </span><span id="__span-8-3"><a id="__codelineno-8-3" name="__codelineno-8-3" href="#__codelineno-8-3"></a>
@@ -1649,17 +1647,14 @@ <h2 id="describe-usage">Describe usage</h2>
 </span><span id="__span-8-6"><a id="__codelineno-8-6" name="__codelineno-8-6" href="#__codelineno-8-6"></a>
 </span><span id="__span-8-7"><a id="__codelineno-8-7" name="__codelineno-8-7" href="#__codelineno-8-7"></a><span class="n">daily_fluct</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">xlims</span><span class="o">=</span><span class="p">[</span><span class="n">start_date</span><span class="p">,</span> <span class="n">start_date</span><span class="o">+</span><span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">1</span><span class="p">)])</span>
 </span></code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_20_0.png" /></p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-9-1"><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a><span class="n">hourly_user_journey_starts</span> <span class="o">=</span> <span class="n">lin_growth_plus_sin_fluct</span> <span class="o">*</span> <span class="n">daily_fluct</span>
 </span><span id="__span-9-2"><a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a><span class="n">hourly_user_journey_starts</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s2">&quot;Hourly number of user journey started&quot;</span><span class="p">)</span>
 </span><span id="__span-9-3"><a id="__codelineno-9-3" name="__codelineno-9-3" href="#__codelineno-9-3"></a>
 </span><span id="__span-9-4"><a id="__codelineno-9-4" name="__codelineno-9-4" href="#__codelineno-9-4"></a><span class="n">hourly_user_journey_starts</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">xlims</span><span class="o">=</span><span class="p">[</span><span class="n">start_date</span><span class="p">,</span> <span class="n">start_date</span> <span class="o">+</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">7</span><span class="p">)])</span>
 </span></code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_21_0.png" /></p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-10-1"><a id="__codelineno-10-1" name="__codelineno-10-1" href="#__codelineno-10-1"></a><span class="c1"># Over 3 years the daily fluctuation color the area between daily min and max number of hourly user journeys</span>
 </span><span id="__span-10-2"><a id="__codelineno-10-2" name="__codelineno-10-2" href="#__codelineno-10-2"></a><span class="n">hourly_user_journey_starts</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
 </span></code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_22_0.png" /></p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-11-1"><a id="__codelineno-11-1" name="__codelineno-11-1" href="#__codelineno-11-1"></a><span class="n">network</span> <span class="o">=</span> <span class="n">Network</span><span class="p">(</span>
 </span><span id="__span-11-2"><a id="__codelineno-11-2" name="__codelineno-11-2" href="#__codelineno-11-2"></a>        <span class="s2">&quot;WIFI network&quot;</span><span class="p">,</span>
 </span><span id="__span-11-3"><a id="__codelineno-11-3" name="__codelineno-11-3" href="#__codelineno-11-3"></a>        <span class="n">bandwidth_energy_intensity</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mf">0.05</span> <span class="o">*</span> <span class="n">u</span><span class="p">(</span><span class="s2">&quot;kWh/GB&quot;</span><span class="p">),</span> <span class="n">Sources</span><span class="o">.</span><span class="n">TRAFICOM_STUDY</span><span class="p">))</span>
@@ -1675,22 +1670,22 @@ <h2 id="describe-usage">Describe usage</h2>
 </span><span id="__span-11-13"><a id="__codelineno-11-13" name="__codelineno-11-13" href="#__codelineno-11-13"></a>
 </span><span id="__span-11-14"><a id="__codelineno-11-14" name="__codelineno-11-14" href="#__codelineno-11-14"></a><span class="n">system</span> <span class="o">=</span> <span class="n">System</span><span class="p">(</span><span class="s2">&quot;System&quot;</span><span class="p">,</span> <span class="n">usage_patterns</span><span class="o">=</span><span class="p">[</span><span class="n">usage_pattern</span><span class="p">])</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>2024-09-24 15:21:04,061 - INFO - Computing calculated attributes for System System
-2024-09-24 15:21:04,062 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey
-2024-09-24 15:21:04,064 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption
-2024-09-24 15:21:04,082 - INFO - Computing calculated attributes for Job streaming
-2024-09-24 15:21:04,091 - INFO - Computing calculated attributes for Job video upload
-2024-09-24 15:21:04,105 - INFO - Computing calculated attributes for Autoscaling server
-2024-09-24 15:21:04,137 - INFO - Computing calculated attributes for Storage SSD storage
-2024-09-24 15:21:04,185 - INFO - Computing calculated attributes for Network WIFI network
-2024-09-24 15:21:04,200 - INFO - Finished computing System modeling
+<div class="language-text highlight"><pre><span></span><code>2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for System System
+2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey
+2024-09-27 09:42:25,837 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption
+2024-09-27 09:42:25,842 - INFO - Computing calculated attributes for Job streaming
+2024-09-27 09:42:25,844 - INFO - Computing calculated attributes for Job video upload
+2024-09-27 09:42:25,846 - INFO - Computing calculated attributes for Autoscaling server
+2024-09-27 09:42:25,853 - INFO - Computing calculated attributes for Storage SSD storage
+2024-09-27 09:42:25,868 - INFO - Computing calculated attributes for Network WIFI network
+2024-09-27 09:42:25,870 - INFO - Finished computing System modeling
 </code></pre></div>
 <h2 id="results">Results</h2>
 <h3 id="computed-attributes">Computed attributes</h3>
 <p>Now all calculated_attributes have been computed:</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-12-1"><a id="__codelineno-12-1" name="__codelineno-12-1" href="#__codelineno-12-1"></a><span class="nb">print</span><span class="p">(</span><span class="n">server</span><span class="p">)</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>Autoscaling id-d33c18-server
+<div class="language-text highlight"><pre><span></span><code>Autoscaling id-e8b1b3-server
 
 carbon_footprint_fabrication: 600 kilogram
 power: 300 watt
@@ -1744,7 +1739,7 @@ <h3 id="system-footprint-overview">System footprint overview</h3>
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strict";t.exports={cn:{colorbar:"colorbar",cbbg:"cbbg",cbfill:"cbfill",cbfills:"cbfills",cbline:"cbline",cblines:"cblines",cbaxis:"cbaxis",cbtitleunshift:"cbtitleunshift",cbtitle:"cbtitle",cboutline:"cboutline",crisp:"crisp",jsPlaceholder:"js-placeholder"}}},64013:function(t,e,r){"use strict";var n=r(3400),i=r(31780),a=r(26332),o=r(25404),s=r(95936),l=r(42568),u=r(42996);t.exports=function(t,e,r){var c=i.newContainer(e,"colorbar"),f=t.colorbar||{};function h(t,e){return n.coerce(f,c,u,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,v=r.height-p.t-p.b,g="v"===h("orientation"),y=h("thicknessmode");h("thickness","fraction"===y?30/(g?d:v):30);var m=h("lenmode");h("len","fraction"===m?1:g?v:d);var x,b,_,w="paper"===h("yref"),T="paper"===h("xref"),k="left";g?(_="middle",k=T?"left":"right",x=T?1.02:1,b=.5):(_=w?"bottom":"top",k="center",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:"number",min:T?-2:0,max:T?3:1,dflt:x}},"x"),n.coerce(f,c,{y:{valType:"number",min:w?-2:0,max:w?3:1,dflt:b}},"y"),h("xanchor",k),h("xpad"),h("yanchor",_),h("ypad"),n.noneOrAll(f,c,["x","y"]),h("outlinecolor"),h("outlinewidth"),h("bordercolor"),h("borderwidth"),h("bgcolor");var A=n.coerce(f,c,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:g?["outside","inside","outside top","inside top","outside bottom","inside bottom"]:["outside","inside","outside left","inside left","outside right","inside right"]}},"ticklabelposition");h("ticklabeloverflow",-1!==A.indexOf("inside")?"hide past domain":"hide past div"),a(f,c,h,"linear");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf("inside")&&(S.bgColor="black"),l(f,c,h,"linear",S),s(f,c,h,"linear",S),o(f,c,h,"linear",S),h("title.text",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,"title.font",L),h("title.side",g?"top":"right")}},37848:function(t,e,r){"use strict";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll("g."+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&m?"-"+m:""),e._traceIndex=n.index,e._propPrefix=(m?m+".":"")+"colorbar.",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,"rect",A.cbbg),u.ensureSingle(r,"g",A.cbfills),u.ensureSingle(r,"g",A.cblines),u.ensureSingle(r,"g",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,"g",A.cbtitleunshift,(function(t){t.append("g").classed(A.cbtitle,!0)})),u.ensureSingle(r,"rect",A.cboutline);var y=function(t,e,r){var o="v"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z="paper"===e.yref,R="paper"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent(("function"==typeof N?N:j.color).domain()),H="function"==typeof j.color?j.color:function(){return j.color},G="function"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*("fraction"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*("fraction"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i="v"===e.orientation,a={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:"y"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+P/B.w:D+O/B.h);var ut=-1!==["top","bottom"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+("top"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&"auto"===e.tickmode){lt.tickmode="linear",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr("transform",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select("."+A.cbtitleunshift).attr("transform",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select("."+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&("top"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),"bottom"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),"right"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+lt._id+"title-math-group").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,"top"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr("transform",c(h[0],h[1])),lt.setScale()}}else bt&&("right"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr("transform",c(h[0],h[1])),lt.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr("transform",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(X);m.enter().append("rect").classed(A.cbfill,!0).attr("style",""),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",rt).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var c=G(t).replace("e-","");l.attr("fill",i(c).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll("g."+lt._id+"tick,path").remove();var _=rt+K+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:"inside"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if("right"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,"bottom"===V&&(i=B.t+et*a+10+(-1===gt.indexOf("inside")?lt.tickfont.size:0)+("intside"!==lt.ticks&&e.ticklen||0)),"top"===V){var l=U.text.split("<br>").length;i=B.t+et*a+10-K-w*yt*l}_t((o?"h":"v")+lt._id+"title",{avoid:{selection:n.select(r).selectAll("g."+lt._id+"tick"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,"text-anchor":"middle"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=K+M/2;-1===gt.indexOf("inside")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select("text");var u=0,f=o&&"top"===V,v=!o&&"right"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(".h"+lt._id+"title-math-group").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||"top"!==V||(s+=n.height,g=n.height)),v&&(dt.attr("transform",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&"bottom"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),q=(o?st:rt)-(o?$:O+g-w);t.select("."+A.cbbg).attr("x",j).attr("y",q).attr(o?"width":"height",Math.max(b-w,2)).attr(o?"height":"width",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style("stroke-width",S);var H=v?Math.max(u-10,0):0;t.selectAll("."+A.cboutline).attr("x",(o?rt:st+P)+H).attr("y",(o?st+O-$:rt)+(f?xt:0)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max($-(o?2*O+xt:2*P+H),2)).call(d.stroke,e.outlinecolor).style({fill:"none","stroke-width":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr("transform",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll("text"),X=Y[0].length,Z=t.select("."+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute("transform","translate("+n+",0) "+this.getAttribute("transform")):this.setAttribute("visibility","hidden"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?("pixels"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),"pixels"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):("pixels"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),"pixels"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?"b":"t",pt=e.x<.5?"l":"r";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-q-W,t:q+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var 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a=Z._module.hoverPoints(et,Q,tt,$,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&nt.push(R(s,I))}else o.log("Unrecognized trace type in hover:",Z);if("closest"===I&&nt.length>rt&&(nt.splice(0,rt),ft=nt[0].distance),m&&0!==q&&0===nt.length){et.distance=q,et.index=!1;var f=Z._module.hoverPoints(et,Q,tt,"closest",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=q}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=("x"===xt||"y"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==q&&0!==nt.length){var _t=pt(nt.filter((function(t){return 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S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var S=g[s],E=g[s+1],L=S[S.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:"component",name:"fx",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:r(62376)}},65460:function(t,e,r){"use strict";var n=r(92456),i=r(25376),a=i({editType:"none"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,t.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y 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y=[r.r2l(r.range[0]),r.r2l(r.range[1])],m=[v*y[0]+g*y[1],v*y[1]+g*y[0]];c[p+".range[0]"]=r.l2r(m[0]),c[p+".range[1]"]=r.l2r(m[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=u._isHoriz?"y":"x",o.setAttribute("data-val",l)),c[s]=l;u._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,c)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),u=0;u<o.length;u++)s[o[u]+"."+l[1]]=a;var c="pan"===a?a:"zoom";s.dragmode=c,n.call("_guiRelayout",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute("data-attr"),i="resetLastSave"===r,a="resetDefault"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},u=0;u<s.length;u++){var 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f=c.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,u+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function y(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function m(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c="in"===r?1.05*u:u/1.05;o[l+".zoom"]=c}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}c.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return u(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(u(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(u(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(u(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(u(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},c.sendDataToCloud={name:"sendDataToCloud",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:"editInChartStudio",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},c.pan2d={name:"pan2d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},c.select2d={name:"select2d",_cat:"select",title:function(t){return u(t,"Box 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shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on 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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},76052:function(t,e,r){"use strict";var n=r(44248),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},45460:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){"use strict";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has("cartesian"),g=e._has("gl3d"),y=e._has("geo"),m=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed("active",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},85984:function(t){"use 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g=d("bgcolor");d("activecolor",i.contrast(g,l.lightAmount,l.darkAmount)),d("bordercolor"),d("borderwidth")}}},50216:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i,a;l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:"all"===i.step?"all":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr("transform",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_="left";l.isRightAnchor(r)&&(x-=f,_="right"),l.isCenterAnchor(r)&&(x-=f/2,_="center");var w="top";l.isBottomAnchor(r)&&(b-=h,w="bottom"),l.isMiddleAnchor(r)&&(b-=h/2,w="middle"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr("transform",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){"use strict";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if("all"===e.step)a[r+".autorange"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n["utc"+i(s)],u=e.count;switch(e.stepmode){case"backward":r=t.l2r(+l.offset(o,-u));break;case"todate":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+".range[0]"]=o[0],a[r+".range[1]"]=o[1]}return a}},41152:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){"use strict";var n=r(22548);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return"number"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return 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D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(P-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return e+F*t},D=0;D<I.length;D++)(z=I[D]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=B[r+1];else if(t<n.pmin)break}return(t-e)/F}}}if("match"!==f.rangemode){var N=u.r2l(f.range[0]),j=u.r2l(f.range[1])-N;l.d2pOppAxis=function(t){return(t-N)/j*l._height}}a.call(y,t,r,l).call(m,t,r,l).call(x,t,r,l).call(b,t,r,l,f).call(_,t,r,l).call(w,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select("rect."+v.slideBoxClassName).node(),l=t.select("rect."+v.grabAreaMinClassName).node(),u=t.select("rect."+v.grabAreaMaxClassName).node();t.on("mousedown",c),t.on("touchstart",c)}function c(){var 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u,c,f=o.selectAll(".select-outline-"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call("_guiRelayout",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if("sankey"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,"regl")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}function rt(t,e){for(var r,n,i=[],a=[],o=0;o<e.length;o++){var s=e[o];n=s._module.selectPoints(s,t),a.push(n),r=tt(n,s),i=i.concat(r)}return i}function nt(t,e,r,n,i){var a,o,s,l=!!n;i&&(a=i.plotinfo,o=i.xaxes[0]._id,s=i.yaxes[0]._id);var u=[],c=[],f=ot(t),h=t._fullLayout;if(a){var d=h._zoomlayer,g=h.dragmode,y=p(g),m=v(g);if(y||m){var x=C(t,o,"x"),b=C(t,s,"y");if(x&&b){var _=d.selectAll(".select-outline-"+a.id);if(_&&t._fullLayout._outlining&&_.length){for(var T=_[0][0].getAttribute("d"),k=w(T,t,a),A=[],M=0;M<k.length;M++){for(var S=k[M],E=[],L=0;L<S.length;L++)E.push([lt(x,S[L][1]),lt(b,S[L][2])]);E.xref=o,E.yref=s,E.subtract=st(E,A),A.push(E)}f=f.concat(A)}}}}var P=o&&s?[o+s]:h._subplots.cartesian;!function(t){var e=t.calcdata;if(e)for(var r=0;r<e.length;r++){var n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[])}}}(t);for(var O={},I=0;I<P.length;I++){var D=P[I],z=D.indexOf("y"),R=D.slice(0,z),F=D.slice(z),B=o&&s?r:void 0;if(B=at(f,R,F,B)){var N=n;if(!l){var j=C(t,R,"x"),U=C(t,F,"y");N=Z(t,[j],[U],D);for(var V=0;V<N.length;V++){var q=N[V],H=q.cd[0],G=H.trace;if("scattergl"===q._module.name&&!H.t.xpx){var W=G.x,Y=G.y,X=G._length;H.t.xpx=[],H.t.ypx=[];for(var K=0;K<X;K++)H.t.xpx[K]=j.c2p(W[K]),H.t.ypx[K]=U.c2p(Y[K])}"splom"===q._module.name&&(O[G.uid]||(O[G.uid]=!0))}}var J=rt(B,N);u=u.concat(J),c=c.concat(N)}}var Q={points:u};$(t,c,Q);var tt=h.clickmode.indexOf("event")>-1&&e;if(!a&&e){var et=ot(t,!0);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ut(et);ct([C(t,nt,"x"),C(t,pt,"y")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ft(t,Q),h._reselect=!1}if(!a&&h._deselect){var vt=h._deselect;(function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=Z(t,[C(t,e,"x")],[C(t,r,"y")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,"x"),m=C(t,d,"y");if("rect"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if("path"===s.type)for(var T=s.path.split("Z"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+="Z";var S=g.extractPathCoords(M,y.paramIsX,"raw"),E=g.extractPathCoords(M,y.paramIsY,"raw");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return"date"===t.type&&(e=e.replace("_"," ")),"log"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+"min"],c=r[l+"max"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit("plotly_selected",e)}function ht(t){t.emit("plotly_deselect",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w="drawcircle"===i,T="drawline"===i||w,k=n.gd,A=k._fullLayout,S=b&&"immediate"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt="M"+F+","+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll("path.select-outline-"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:"rgba(0,0,0,0)",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):"#7f7f7f");bt.enter().append("path").attr("class","select-outline 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Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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c&&(q.addPt([lt,pt]),K=q.filtered);if(n.selectionDefs&&n.selectionDefs.length?(X=Q(n.mergedPolygons,K,xt),K.subtract=xt,H=G(n.selectionDefs.concat([K]))):(X=[K],H=R(K)),m(et(X,y),bt,n),b){var u,f=nt(k,!1),h=f.eventData?f.eventData.points.slice():[];f=nt(k,!1,H,Et,n),H=f.selectionTesters,at=f.eventData,u=q?q.filtered:ut(X),L.throttle(Mt,I.SELECTDELAY,(function(){for(var t=(St=rt(H,Et)).slice(),e=0;e<h.length;e++){for(var r=h[e],n=!1,i=0;i<t.length;i++)if(t[i].curveNumber===r.curveNumber&&t[i].pointNumber===r.pointNumber){n=!0;break}n||t.push(r)}t.length&&(at||(at={}),at.points=t),Lt(at,u),function(t,e){t.emit("plotly_selecting",e)}(k,at)}))}},n.clickFn=function(t,e){if(kt.remove(),k._fullLayout._activeShapeIndex>=0)k._fullLayout._deactivateShape(k);else if(!x){var r=A.clickmode;L.done(Mt).then((function(){if(L.clear(Mt),2===t){for(bt.remove(),J=0;J<Et.length;J++)(tt=Et[J])._module.selectPoints(tt,!1);if($(k,Et),Y(n),ht(k),Et.length){var i=Et[0].xaxis,o=Et[0].yaxis;if(i&&o){for(var s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",k,{selections:s}))}}}else r.indexOf("select")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),"event"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){"use strict";var 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n=e.xref,i=e.yref,a=o.getFromId(r,n),s=o.getFromId(r,i),l="";"paper"===n||a.autorange||(l+=n),"paper"===i||s.autorange||(l+=i),h.setClipUrl(t,l?"clip"+r._fullLayout._uid+l:null,r)}(e,r,t),Q.moveFn="move"===z?et:rt,Q.altKey=n.altKey)},doneFn:function(){b(t)||(v(e),it(l),T(e,t,r),i.call("_guiRelayout",t,c.getUpdateObj()))},clickFn:function(){b(t)||it(l)}};function tt(r){if(b(t))z=null;else if(j)z="path"===r.target.tagName?"move":"start-point"===r.target.attributes["data-line-point"].value?"resize-over-start-point":"resize-over-end-point";else{var n=Q.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!U&&i>R&&a>F&&!r.shiftKey?d.getCursor(o/i,1-s/a):"move";v(e,l),z=l.split("-")[0]}}function et(n,i){if("path"===r.type){var a=function(t){return t},o=a,c=a;B?V("xanchor",r.xanchor=K(w+n)):(o=function(t){return K(X(t)+n)},H&&"date"===H.type&&(o=y.encodeDate(o))),N?V("yanchor",r.yanchor=J(A+i)):(c=function(t){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"));return t}},93940:function(t,e,r){"use strict";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?"paper":T._id,yref:M?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){"use strict";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){"use strict";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return 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o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?"domain"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?"domain"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},"path"===d)return y&&"date"===y.type&&(s=e.decodeDate(s)),m&&"date"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t="pixel"===o?e(l)+Number(t):e(t):h[a]&&(t="pixel"===s?r(u)-Number(t):r(t)),++a>p&&(t="X"),t}));return a>p&&(d=d.replace(/[\s,]*X.*/,""),i.log("Ignoring extra 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on("mousedown",l),t.on("touchstart",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit("plotly_sliderstart",{slider:t});var l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,"rect",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr("opacity",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,"rect",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll("g."+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append("g").classed(f.containerClassName,!0).style("cursor",e?null:"ew-resize"),s.exit().each((function(){n.select(this).selectAll("g."+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll("g."+f.groupClassName).data(a,y);u.enter().append("g").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){"use strict";var n=r(60876);t.exports={moduleType:"component",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:"").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;"title.text"===y?v="titleText":-1!==y.indexOf("axis")?v="axisTitleText":y.indexOf(!0)&&(v="colorbarTitleText");var I=t._context.edits[v];""===E?A=0:E.replace(d," % ")===m.replace(d," % 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});t.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:u,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},73712:function(t){"use 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l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&"buttons"!==o.type?[]:o.buttons,u="dropdown"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll("g."+u).data(s.filterVisible(l)),h=c.enter().append("g").classed(u,!0),p=c.exit();"dropdown"===o.type?(h.attr("opacity","0").transition().attr("opacity","1"),p.transition().attr("opacity","0").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==["up","down"].indexOf(o.direction);"dropdown"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),"dropdown"===o.type&&"up"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),"dropdown"===o.type&&"left"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=z(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=R(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[r,i,a]))return Promise.reject();r||i||o.isPlotDiv(t)||o.warn("Calling _doPlot as if redrawing but this container doesn't yet have a plot.",t),P(t,a),i||(i={}),n.select(t).classed("js-plotly-plot",!0),g.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(r);Array.isArray(r)&&(T.cleanData(r),f?t.data=r:t.data.push.apply(t.data,r),t.empty=!1),t.layout&&!f||(t.layout=T.cleanLayout(i)),h.supplyDefaults(t);var d=t._fullLayout,v=d._has("cartesian");d._replotting=!0,(f||d._shouldCreateBgLayer)&&(function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=lt,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(x.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var a=r._paper.append("g").classed("layer-below",!0);r._imageLowerLayer=a.append("g").classed("imagelayer",!0),r._shapeLowerLayer=a.append("g").classed("shapelayer",!0),r._cartesianlayer=r._paper.append("g").classed("cartesianlayer",!0),r._polarlayer=r._paper.append("g").classed("polarlayer",!0),r._smithlayer=r._paper.append("g").classed("smithlayer",!0),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._geolayer=r._paper.append("g").classed("geolayer",!0),r._funnelarealayer=r._paper.append("g").classed("funnelarealayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._iciclelayer=r._paper.append("g").classed("iciclelayer",!0),r._treemaplayer=r._paper.append("g").classed("treemaplayer",!0),r._sunburstlayer=r._paper.append("g").classed("sunburstlayer",!0),r._indicatorlayer=r._toppaper.append("g").classed("indicatorlayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0);var s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._selectionLayer=r._toppaper.append("g").classed("selectionlayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var _=o.extendFlat({},d._size),w=0;function A(){if(h.clearAutoMarginIds(t),k.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,"title.automargin"),d._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function M(){t._transitioning||(k.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod("rangeslider","calcAutorange")(t))}var S=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=d._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!d._glcanvas&&d._has("gl")&&(d._glcanvas=d._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),d._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(d._glcanvas){d._glcanvas.attr("width",d.width*i).attr("height",d.height*i).style("width",d.width+"px").style("height",d.height+"px");var a=d._glcanvas.data()[0].regl;if(a&&(Math.floor(d.width*i)!==a._gl.drawingBufferWidth||Math.floor(d.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!w)return o.log(s+" Clearing graph and plotting 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E(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),T.clearPromiseQueue(t);var u=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&u&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames}var v=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,P(t,i),v=st(g,t._context)}t.data=r||[],T.cleanData(t.data),t.layout=n||{},T.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,u,c,f,h,p,d,v,g=n._preGUI,y=[],m={},x={};for(i in g){if(c=et(i,Q)){if(d=c.head,v=c.tail,a=c.attr||d+".uirevision",(u=(l=s(n,a).get())&&rt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),at(p=(h=s(e,i)).get(),f)){void 0===p&&"autorange"===v&&y.push(d),h.set(B(s(n,i).get()));continue}if("autorange"===v||"range["===v.substr(0,6)){var 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y=t._fullData,m=t._fullLayout,x=void 0===m.datarevision,b=m.transition,_=function(t,e,r,n,i){var a=A.layoutFlags();return a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,ot(e,r,[],{getValObject:function(t){return f.getLayoutValObject(r,t)},flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some"),a}(t,p,m,x,b),w=_.newDataRevision,M=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,u=A.traceFlags();u.arrays={},u.nChanges=0,u.nChangesAnim=0;var c={getValObject:function(t){var 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if(M.fullReplot||_.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in _.arrays){var R=_.arrays[z];if(R.length){var F=c.getComponentMethod(z,"drawOne");if(F!==o.noop)for(var N=0;N<R.length;N++)F(t,R[N]);else{var j=c.getComponentMethod(z,"draw");if(j===o.noop)throw new Error("cannot draw components: "+z);j(t)}}}D.push(h.previousPromises),M.style&&D.push(k.doTraceStyle),(M.colorbars||_.colorbars)&&D.push(k.doColorBars),_.legend&&D.push(k.doLegend),_.layoutstyle&&D.push(k.layoutStyles),_.axrange&&G(D),_.ticks&&D.push(k.doTicksRelayout),_.modebar&&D.push(k.doModeBar),_.camera&&D.push(k.doCamera),D.push(E)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit("plotly_react",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return T.cleanData(t.data),T.cleanLayout(t.layout),t.calcdata=void 0,e._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},e.relayout=q,e.restyle=F,e.setPlotConfig=function(t){return o.extendFlat(_,t)},e.update=J,e._guiRelayout=$(q),e._guiRestyle=$(F),e._guiUpdate=$(J),e._storeDirectGUIEdit=function(t,e,r){for(var n in r)j(n,s(t,n).get(),r[n],e)}},20556:function(t){"use strict";var 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h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),v=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(v,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}H.autoTicks(l,f)}var g,y=l.dtick,m=H.tickIncrement(H.tickFirst(l),y,"reverse",a);if("number"==typeof y)m=function(t,e,r,n,a){var o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&"date"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for("M"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=H.tickIncrement(t,"M6","reverse")+1.5*M:a.exactMonths>.8?t=H.tickIncrement(t,"M1","reverse")+15.5*M:t-=S;var l=H.tickIncrement(t,r);if(l<=n)return 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?H.prepMinorTicks(R,t,e):H.prepTicks(R,e),"array"!==R.tickmode)if("sync"!==R.tickmode){var F=J(c),B=F[0],N=F[1],j=i(R.dtick),U="log"===a&&!(j||"L"===R.dtick.charAt(0)),V=H.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;"category"!==a&&"multicategory"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var q,G,W=null,Y=V;D&&(j?G=t.dtick:"date"===a?"string"==typeof t.dtick&&"M"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,q=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var X=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=H.tickIncrement(Y,X,!f,o))),D&&u&&(Y=H.tickIncrement(Y,X,!f,o),q--);f?Y>=N:Y<=N;Y=H.tickIncrement(Y,X,f,o)){if(D&&q++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===W)break;W=Y;var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it="y"===t._id.charAt(0),st=1;"auto"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text="",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=H.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=L&&a<=16||e>=E)t._tickround="M";else if(e>=C&&a<=19||e>=L)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}H.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick="M"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick="M"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=H.getTickFormat(t),u="period"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick="L"+dt(e,n,st)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},H.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,u,a);if("L"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if("D"===l){var c="D2"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick 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a,o=gt(t,e),l="array"===t.tickmode,u=r||l,c=t.type,f="category"===c?t.d2l_noadd:t.d2l;if(l&&s.isArrayOrTypedArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var v=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||H.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf("\n");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||"00:00:00"!==u&&"00:00"!==u?8===u.length&&(u=u.replace(/:00$/,"")):(u=l,l="")),l)if(r)"d"===a?u+=", "+l:u=l+(u?", "+u:"");else if(t._inCalcTicks&&t._prevDateHead===l){var 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O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf("select")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt("x")),at&&(F(J,r),Vt("y")),Wt([n,i,tt,et]),qt(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(K,0,e):"e"===it?e=p(K,1,-e):it||(e=0),"n"===at?r=p(J,1,r):"s"===at?r=p(J,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var 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n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:"zoom"})})),A=h.of(this,arguments),p++||A({type:"zoomstart"})})).on("zoomend",(function(){var r;n.select(this).style(u),d.call(a,"zoom",null),r=h.of(this,arguments),--p||r({type:"zoomend"}),f(t,e,y)})).on("zoom.redraw",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,h,"on")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){"use strict";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if("gl2d"===e){var c=r.match(i);o="x"+c[1],s="y"+c[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){"use strict";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case"pan":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){"use strict";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){"use strict";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},12536:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},86140:function(t,e,r){"use strict";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},64380:function(t,e,r){"use strict";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},44728:function(t,e,r){"use strict";var n=r(43080),i=r(3400),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){"use strict";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},9020:function(t,e,r){"use strict";var n=r(43080),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},94424:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){"use strict";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("touchstart",(function(){w=!0})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||"").split("+"),S=A&&"all"===A;_.hovertemplate||S||(-1===M.indexOf("x")&&(k.xLabel=void 0),-1===M.indexOf("y")&&(k.yLabel=void 0),-1===M.indexOf("z")&&(k.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(k.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+k.uLabel),k.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+k.vLabel),k.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+k.normLabel),"streamtube"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,"bgcolor")||c.color,borderColor:d.castHoverOption(_,T,"bordercolor"),fontFamily:d.castHoverOption(_,T,"font.family"),fontSize:d.castHoverOption(_,T,"font.size"),fontColor:d.castHoverOption(_,T,"font.color"),nameLength:d.castHoverOption(_,T,"namelength"),textAlign:d.castHoverOption(_,T,"align"),hovertemplate:f.castOption(_,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var M=["xaxis","yaxis","zaxis"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;"ErrorBars"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if("cube"===D)g=[1,1,1];else if("manual"===D){var 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f=c({},e.radialaxis,{_id:"x"}),h=e.angularaxis;s(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},70384:function(t,e,r){"use strict";var n=r(3400),i=r(85968).handleRThetaDefaults,a=r(55592),o=r(78100);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l("thetaunit"),l("base"),l("offset"),l("width"),l("text"),l("hovertext"),l("hovertemplate"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},68896:function(t,e,r){"use strict";var n=r(93024),i=r(3400),a=r(63400).getTraceColor,o=i.fillText,s=r(8504).makeHoverPointText,l=r(57384).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function 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t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr("transform",(function(t){return l(t.x,0)})),r(i).attr("transform",(function(t){return l(0,t.y)})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("x",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(49084),i=r(94724),a=r(25376),o=r(86968).u,s=r(92880).extendFlat,l=r(31780).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},71864:function(t,e,r){"use 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x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(m>=x[0]&&m<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(v).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){"use strict";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(19976),categories:["gl","regl","noOpacity","noHover"],meta:{}}},19976:function(t,e,r){"use strict";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},95044:function(t,e,r){"use strict";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){"use 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n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,"values",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,"labelfont",y),n.coerceFont(c,"tickfont",y),n.coerceFont(c,"rangefont",y),c("labelangle"),c("labelside"),c("unselected.line.color"),c("unselected.line.opacity")}},95724:function(t,e,r){"use strict";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!("visible"in t)}},29928:function(t,e,r){"use strict";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){"use strict";var n=r(26444),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(30140).maxDimensionCount,s=r(3400),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var 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r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:"src alpha",dstRGB:"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var 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c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var 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n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||""===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},75792:function(t,e,r){"use 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n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c="funnelarea"===u.type;"_hasHoverLabel"in u||(u._hasHoverLabel=!1),"_hasHoverEvent"in u||(u._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 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r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function 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r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle 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i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(94288).hasColorscale,i=r(47128),a=r(43028);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},88200:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},96664:function(t,e,r){"use strict";var n=r(16356),i=r(96376).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(21776).Ks,i=r(21776).Gw,a=r(52904),o=r(45464),s=r(49084),l=r(98192).u,u=r(92880).extendFlat,c=r(67824).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){"use strict";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){"use strict";var n=r(67072);e.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(44928);function 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){"use strict";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},31512:function(t,e,r){"use strict";var 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},424:function(t,e,r){"use strict";var n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var 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t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var 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n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var 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N=t.select("path.surface");h.styleOne(N,i,m,r,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:l||[f(i,m,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,r,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},78176:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(93972),o=r(69656);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(e.getPtId(o)===r)return 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n=r(33428),i=r(74148),a=r(67756).qy,o=r(43616),s=r(3400),l=r(72736),u=r(82744),c=u.recordMinTextSize,f=u.clearMinTextSize,h=r(37820),p=r(69656).getRotationAngle,d=h.computeTransform,v=h.transformInsideText,g=r(85676).styleOne,y=r(60100).resizeText,m=r(45716),x=r(27328),b=r(78176);function _(t,r,u,f){var h=t._context.staticPlot,y=t._fullLayout,_=!y.uniformtext.mode&&b.hasTransition(f),T=n.select(u).selectAll("g.slice"),k=r[0],A=k.trace,M=k.hierarchy,S=b.findEntryWithLevel(M,A.level),E=b.getMaxDepth(A),L=y._size,C=A.domain,P=L.w*(C.x[1]-C.x[0]),O=L.h*(C.y[1]-C.y[0]),I=.5*Math.min(P,O),D=k.cx=L.l+L.w*(C.x[1]+C.x[0])/2,z=k.cy=L.t+L.h*(1-C.y[0])-O/2;if(!S)return T.remove();var R=null,F={};_&&T.each((function(t){F[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&b.isEntry(t)&&(R=t)}));var B=function(t){return 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a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split("+"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y("label")&&c.label&&m.push(c.label),c.hasOwnProperty("v")&&y("value")&&m.push(b.formatValue(c.v,l)),!h){y("current path")&&m.push(b.getPath(t.data));var x=0;y("percent parent")&&x++,y("percent entry")&&x++,y("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=" of "+t),m.push(v)};y("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),y("percent entry")&&(w=d/b.getValue(e),T("entry")),y("percent root")&&(w=d/b.getValue(f),T("root"))}}return y("text")&&(v=s.castOption(r,c.i,"text"),s.isValidTextValue(v)&&m.push(v)),m.join("<br>")}var k=s.castOption(r,c.i,"texttemplate");if(!k)return"";var A={};c.label&&(A.label=c.label),c.hasOwnProperty("v")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty("color")&&(A.color=c.color);var M=s.castOption(r,c.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){"use strict";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},60192:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(27260),o=r(16716);function s(t,e,r,n){var i=n("opacityscale");"max"===i?e.opacityscale=[[0,.1],[1,1]]:"min"===i?e.opacityscale=[[0,1],[1,.1]]:"extremes"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}t.exports={supplyDefaults:function(t,e,r,u){var c,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),v=h("z");if(!v||!v.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?v.length:v[0].length,e._ylength=v.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],u),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),y=["x","y","z"];for(c=0;c<3;++c){var m="contours."+y[c],x=h(m+".show"),b=h(m+".highlight");if(x||b)for(f=0;f<3;++f)h(m+".project."+y[f]);x&&(h(m+".color"),h(m+".width"),h(m+".usecolormap")),b&&(h(m+".highlightcolor"),h(m+".highlightwidth")),h(m+".start"),h(m+".end"),h(m+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,u,h,{prefix:"",cLetter:"c"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){"use strict";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:r(56576),plot:r(79164),moduleType:"trace",name:"surface",basePlotModule:r(12536),categories:["gl3d","2dMap","showLegend"],meta:{}}},60520:function(t,e,r){"use strict";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 0},85852:function(t,e,r){"use strict";var n=r(84888)._M,i=r(24752),a="table";e.name=a,e.plot=function(t){var e=n(t.calcdata,a)[0];e.length&&i(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(a),o=e._has&&e._has(a);i&&!o&&n._paperdiv.selectAll(".table").remove()}},39312:function(t,e,r){"use strict";var n=r(71688).wrap;t.exports=function(){return n({})}},23536:function(t){"use strict";t.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\$.*\$$/,goldenRatio:1.618,lineBreaker:"<br>",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},55992:function(t,e,r){"use strict";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll("."+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){var 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=K[J[$]];C[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}for(Z=A.edges,K=A.positions,T=0;T<Z.length;++T)for(J=Z[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=K[J[$]],C[2*D]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*D+1]=V*(G*tt[0]+H*tt[1]+X[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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e=("property"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Bt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ze(r,["zoom","feature-state"]))return[new Bt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Ln(t[1],t[2],"=="):"!="===r?On(Ln(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Ln(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(En))):"all"===r?["all"].concat(t.slice(1).map(En)):"none"===r?["all"].concat(t.slice(1).map(En).map(On)):"in"===r?Cn(t[1],t.slice(2)):"!in"===r?On(Cn(t[1],t.slice(2))):"has"===r?Pn(t[1]):"!has"===r?On(Pn(t[1])):"within"!==r||t}function Ln(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(Mn)]]:["filter-in-small",t,["literal",e]]}}function Pn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function On(t){return["!",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if("array"!==Qr(e))return[new Bt(r,e,"array expected, "+Qr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,"filter array must have at least 1 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Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Bt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Bt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property "'+o+'"')];if("string"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&tn(Vt(a))&&"identity"===Ut(a.type)&&f.push(new Bt(r,a,'"text-font" does not support identity functions'))),f.concat(Hn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Rn(t){return zn(t,"paint")}function Fn(t){return zn(t,"layout")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either "type" or "ref" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var u=Ut(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ut(f.id)===u&&e.push(new Bt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Bt(n,r,'missing required property "source"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Hn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:In,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return"string"!==n?[new Bt(r,e,"string expected, "+n+" found")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+"."+i,value:r[i]}));return 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Yn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Xn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Yn(t.apply(this,e))}}Wn.source=Xn(Un),Wn.light=Xn(Vn),Wn.layer=Xn(Bn),Wn.filter=Xn(In),Wn.paintProperty=Xn(Rn),Wn.layoutProperty=Xn(Fn);var Zn=Wn,Kn=Zn.light,Jn=Zn.paintProperty,$n=Zn.layoutProperty;function Qn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new zt(new Error(a.message))),r=!0}return r}var ti=ri,ei=3;function ri(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[ei+a],s=i[ei+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[ei+n.length],u=i[ei+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}ri.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},ri.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},ri.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},ri.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},ri.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[ei+o]=a,i.set(s,a),a+=s.length}return i[ei+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[ei+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ni=s.ImageData,ii=s.ImageBitmap,ai={};function oi(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),ai[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var si in oi("Object",Object),ti.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},ti.deserialize=function(t){return new ti(t.buffer)},oi("Grid",ti),oi("Color",ue),oi("Error",Error),oi("ResolvedImage",pe),oi("StylePropertyFunction",vn),oi("StyleExpression",un,{omit:["_evaluator"]}),oi("ZoomDependentExpression",pn),oi("ZoomConstantExpression",hn),oi("CompoundExpression",Ee,{omit:["_evaluate"]}),qr)qr[si]._classRegistryKey||oi("Expression_"+si,qr[si]);function li(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function ui(t){return ii&&t instanceof ii}function ci(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(li(t)||ui(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ni)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ci(o,e))}return n}if("object"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error("can't serialize object of unregistered class");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ai[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ai[l].shallow.indexOf(c)>=0?f:ci(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(u.$name=l),u}throw new Error("can't serialize object of type "+typeof t)}function fi(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||li(t)||ui(t)||ArrayBuffer.isView(t)||t instanceof ni)return t;if(Array.isArray(t))return t.map(fi);if("object"==typeof t){var e=t.$name||"Object",r=ai[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=ai[e].shallow.indexOf(o)>=0?s:fi(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var hi=function(){this.first=!0};hi.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var pi={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and 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t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function di(t){for(var e=0,r=t;e<r.length;e+=1)if(vi(r[e].charCodeAt(0)))return!0;return!1}function vi(t){return!(746!==t&&747!==t&&(t<4352||!(pi["Bopomofo Extended"](t)||pi.Bopomofo(t)||pi["CJK Compatibility Forms"](t)&&!(t>=65097&&t<=65103)||pi["CJK Compatibility Ideographs"](t)||pi["CJK Compatibility"](t)||pi["CJK Radicals 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Syllables"](t)||pi["Yi Radicals"](t))))}function gi(t){return!(vi(t)||function(t){return!!(pi["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||pi["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||pi["Letterlike Symbols"](t)||pi["Number Forms"](t)||pi["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||pi["Control Pictures"](t)&&9251!==t||pi["Optical Character Recognition"](t)||pi["Enclosed Alphanumerics"](t)||pi["Geometric Shapes"](t)||pi["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||pi["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi["CJK Symbols and Punctuation"](t)||pi.Katakana(t)||pi["Private Use Area"](t)||pi["CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=ue.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return"constant"===this.value.kind},Ui.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Ui(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:"constant",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 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this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate($n,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof 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e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi("StructArrayLayout2i4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);oi("GlyphOffsetArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);oi("SymbolLineVertexArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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Float32Array(16),ro=function(t){function e(e,r){t.call(this,e,r),this.current=eo}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function no(t){return[Ra(255*t.r,255*t.g),Ra(255*t.b,255*t.a)]}var io=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};io.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},io.prototype.getBinding=function(t,e,r){return"color"===this.type?new to(t,e):new Ka(t,e)};var ao=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ao.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ao.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},ao.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Qa(t,e):new Ka(t,e)};var oo=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};oo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Di(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},oo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},oo.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=no(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},oo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Di(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Di(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification["property-type"],f="cross-faded"===c||"cross-faded-data-driven"===c;if("constant"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push("/u_"+i);else if("source"===s.kind||f){var h=ho(i,l,"source");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push("/a_"+i)}else{var p=ho(i,l,"composite");this.binders[i]=new so(s,o,l,u,e,p),n.push("/z_"+i)}}}this.cacheKey=n.sort().join("")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},uo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},uo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var co=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new uo(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function fo(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function ho(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:ma,composite:oa}},i=function(t){return{"line-pattern":{source:sa,composite:sa},"fill-pattern":{source:sa,composite:sa},"fill-extrusion-pattern":{source:sa,composite:sa}}[t]}(t);return i&&i[r]||n[e][r]}co.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},co.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},co.prototype.get=function(t){return this.programConfigurations[t]},co.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},co.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},oi("ConstantBinder",io),oi("CrossFadedConstantBinder",ao),oi("SourceExpressionBinder",oo),oi("CrossFadedCompositeBinder",lo),oi("CompositeExpressionBinder",so),oi("ProgramConfiguration",uo,{omit:["_buffers"]}),oi("ProgramConfigurationSet",co);var po=8192,vo=Math.pow(2,14)-1,go=-vo-1;function yo(t){for(var e=po/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a],s=Math.round(o.x*e),l=Math.round(o.y*e);o.x=f(s,go,vo),o.y=f(l,go,vo),(s<o.x||s>o.x+1||l<o.y||l>o.y+1)&&k("Geometry exceeds allowed extent, reduce your vector tile buffer size")}return r}function mo(t,e){return{type:t.type,id:t.id,properties:t.properties,geometry:e?yo(t):[]}}function xo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ra,this.indexArray=new va,this.segments=new za,this.programConfigurations=new co(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function _o(t,e){for(var r=0;r<t.length;r++)if(Co(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Co(t,e[n]))return!0;return!!Ao(t,e)}function wo(t,e,r){return!!Co(t,e)||!!So(e,t,r)}function To(t,e){if(1===t.length)return Lo(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Co(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Lo(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Ao(t,e[o]))return!0;return!1}function ko(t,e,r){if(t.length>1){if(Ao(t,e))return!0;for(var n=0;n<e.length;n++)if(So(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(So(t[i],e,r))return!0;return!1}function Ao(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(Mo(n,i,e[a],e[a+1]))return!0;return!1}function Mo(t,e,r,n){return A(t,r,n)!==A(e,r,n)&&A(t,e,r)!==A(t,e,n)}function So(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Eo(t,e[i-1],e[i])<n)return!0;return!1}function Eo(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function Lo(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Co(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Po(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=A(t,e,r[0]);return a!==A(t,e,r[1])||a!==A(t,e,r[2])||a!==A(t,e,r[3])}function Oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Io(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Do(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var u=t[l];s.push(u.sub(o))}return s}bo.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],u=l.feature,c=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d=mo(u,p);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),d,r)){var v=a?a.evaluate(d,{},r):void 0,g={id:c,properties:u.properties,type:u.type,sourceLayerIndex:h,index:f,geometry:p?d.geometry:yo(u),patterns:{},sortKey:v};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Da),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},bo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],u=l.x,c=l.y;if(!(u<0||u>=po||c<0||c>=po)){var 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t.id}))};Us.prototype.populate=function(t,e,r){this.hasPattern=Ns("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r,e.availableImages):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("fill",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Us.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Us.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Us.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Us.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Us.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,is),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},Us.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},Us.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],v=0,g=s;v<g.length;v+=1){var y=g[v];if(0!==y.length){y!==s[0]&&d.push(p.length/2);var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var 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Hi(Ft["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Gi(Ft["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var 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e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty("mapbox_clip_start")&&t.properties.hasOwnProperty("mapbox_clip_end"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},vl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6),this.lineClips){var c=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(c,this.lineClipsArray.length)}var f=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,f),o.primitiveLength++),i?this.e2=f:this.e1=f},vl.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},vl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},oi("LineBucket",vl,{omit:["layers","patternFeatures"]});var gl=new Xi({"line-cap":new qi(Ft.layout_line["line-cap"]),"line-join":new Hi(Ft.layout_line["line-join"]),"line-miter-limit":new qi(Ft.layout_line["line-miter-limit"]),"line-round-limit":new qi(Ft.layout_line["line-round-limit"]),"line-sort-key":new Hi(Ft.layout_line["line-sort-key"])}),yl={paint:new Xi({"line-opacity":new Hi(Ft.paint_line["line-opacity"]),"line-color":new Hi(Ft.paint_line["line-color"]),"line-translate":new qi(Ft.paint_line["line-translate"]),"line-translate-anchor":new qi(Ft.paint_line["line-translate-anchor"]),"line-width":new Hi(Ft.paint_line["line-width"]),"line-gap-width":new Hi(Ft.paint_line["line-gap-width"]),"line-offset":new Hi(Ft.paint_line["line-offset"]),"line-blur":new Hi(Ft.paint_line["line-blur"]),"line-dasharray":new Wi(Ft.paint_line["line-dasharray"]),"line-pattern":new Gi(Ft.paint_line["line-pattern"]),"line-gradient":new Yi(Ft.paint_line["line-gradient"])}),layout:gl},ml=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Di(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=p({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Hi),xl=new ml(yl.paint.properties["line-width"].specification);xl.useIntegerZoom=!0;var bl=function(t){function e(e){t.call(this,e,yl),this.gradientVersion=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){if("line-gradient"===t){var e=this._transitionablePaint._values["line-gradient"].value.expression;this.stepInterpolant=e._styleExpression.expression instanceof tr,this.gradientVersion=(this.gradientVersion+1)%l}},e.prototype.gradientExpression=function(){return this._transitionablePaint._values["line-gradient"].value.expression},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=xl.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new vl(t)},e.prototype.queryRadius=function(t){var e=t,r=_l(Oo("line-width",this,e),Oo("line-gap-width",this,e)),n=Oo("line-offset",this,e);return r/2+Math.abs(n)+Io(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Do(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),u=s/2*_l(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),c=this.paint.get("line-offset").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Co(t,i[a]))return!0;if(ko(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Ki);function _l(t,e){return e>0?e+2*t:t}var wl=ta([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Tl=ta([{name:"a_projected_pos",components:3,type:"Float32"}],4),kl=(ta([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),ta([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),Al=(ta([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),ta([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),Ml=ta([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);function Sl(t,e,r){return 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$o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi("ImagePosition",au),oi("ImageAtlas",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack="",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},fu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(cu.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},fu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(cu.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k("Reached maximum number of images 6401")}else k("Can't add FormattedSection with an empty image.")},fu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},du={};function vu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function gu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function yu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function mu(t,e,r,n,i,a){for(var o=null,s=gu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=gu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function xu(t){return t?xu(t.priorBreak).concat(t.index):[]}function bu(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=vu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("​")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(pu[p]||(c+=vu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(pi["Bopomofo Extended"](v)||pi.Bopomofo(v)||pi["CJK Compatibility Forms"](v)||pi["CJK Compatibility Ideographs"](v)||pi["CJK 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);oi("Anchor",ku);var Au=128;function Mu(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Di(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Di(s)),maxSize:r.evaluate(new Di(l)),interpolationType:i}}function Su(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/Au:"composite"===t.kind?er(a/Au,o/Au,i):n}function Eu(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var o=Ou(r,i,a),s=Iu(r,n)*a,l=0,u=Pu(t)/2,c=0;c<t.length-1;c++){var f=t[c],h=t[c+1],p=f.dist(h);if(l+p>u){var d=(u-l)/p,v=er(f.x,h.x,d),g=er(f.y,h.y,d),y=new ku(v,g,h.angleTo(f),c);return y._round(),!o||Cu(t,y,s,o,e)?y:void 0}l+=p}}function zu(t,e,r,n,i,a,o,s,l){var u=Ou(n,a,o),c=Iu(n,i),f=c*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),Ru(t,h?e/2*s%e:(c/2+2*a)*o*s%e,e,u,r,f,h,!1,l)}function Ru(t,e,r,n,i,a,o,s,l){for(var u=a/2,c=Pu(t),f=0,h=e-r,p=[],d=0;d<t.length-1;d++){for(var v=t[d],g=t[d+1],y=v.dist(g),m=g.angleTo(v);h+r<f+y;){var x=((h+=r)-f)/y,b=er(v.x,g.x,x),_=er(v.y,g.y,x);if(b>=0&&b<l&&_>=0&&_<l&&h-u>=0&&h+u<=c){var w=new ku(b,_,m,d);w._round(),n&&!Cu(t,w,a,n,i)||p.push(w)}}f+=y}return s||p.length||o||(p=Ru(t,f/2,r,n,i,a,o,!0,l)),p}function Fu(t,e,r,n,i){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],u=void 0,c=0;c<l.length-1;c++){var f=l[c],h=l[c+1];f.x<e&&h.x<e||(f.x<e?f=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=i&&h.y>=i||(f.y>=i?f=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round():h.y>=i&&(h=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round()),u&&f.equals(u[u.length-1])||(u=[f],o.push(u)),u.push(h)))))}return o}var Bu=iu;function Nu(t,e,r,n){var i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*Bu,u=o.paddedRect.h-2*Bu,c=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,u]],d=function(t,e){return t+e[1]-e[0]},v=h.reduce(d,0),g=p.reduce(d,0),y=l-v,m=u-g,x=0,b=v,_=0,w=g,T=0,k=y,A=0,M=m;if(o.content&&n){var S=o.content;x=ju(h,0,S[0]),_=ju(p,0,S[1]),b=ju(h,S[0],S[2]),w=ju(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Vu(n.stretch-x,b,c,t.left),p=qu(n.fixed-T,k,n.stretch,v),d=Vu(i.stretch-_,w,f,t.top),y=qu(i.fixed-A,M,i.stretch,g),m=Vu(l.stretch-x,b,c,t.left),S=qu(l.fixed-T,k,l.stretch,v),E=Vu(u.stretch-_,w,f,t.top),L=qu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Bu+j,y:o.paddedRect.y+Bu+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Uu(h,y,v),C=Uu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return t<e?-1:t>e?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;u<l.length;u++){var c=l[u];(!u||c.x<n)&&(n=c.x),(!u||c.y<i)&&(i=c.y),(!u||c.x>o)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;g<o;g+=p)for(var y=i;y<s;y+=p)v.push(new Zu(g+d,y+d,d,t));for(var m=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],u=i[s],c=l.x*u.y-u.x*l.y;r+=(l.x+u.x)*c,n+=(l.y+u.y)*c,e+=3*c}return new Zu(r/e,n/e,0,t)}(t),x=v.length;v.length;){var b=v.pop();(b.d>m.d||!m.d)&&(m=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new Zu(b.p.x-d,b.p.y-d,d,t)),v.push(new Zu(b.p.x+d,b.p.y-d,d,t)),v.push(new Zu(b.p.x-d,b.p.y+d,d,t)),v.push(new Zu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+m.d)),m.p}function Xu(t,e){return e.max-t.max}function Zu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var u=a[o],c=a[l];u.y>t.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,Eo(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gu.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gu.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gu.prototype.peek=function(){return this.data[0]},Gu.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,v=p.positionedGlyphs;d<v.length;d+=1){var g=v[d];if(g.rect){var y=g.rect||{},m=ru+1,x=!0,b=1,_=0,w=(i||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=(g.scale-1)*Ll,A=(Ll-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,b=M.pixelRatio,m=iu/b}var S=i?[g.x+T,g.y]:[0,0],E=i?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-m)*g.scale-T+E[0],P=(-g.metrics.top-m)*g.scale+E[1],O=C+y.w*g.scale/b,I=P+y.h*g.scale/b,D=new a(C,P),z=new a(O,P),R=new a(C,I),F=new a(O,I);if(w){var B=new a(-T,T-uu),N=-Math.PI/2,j=Ll/2-T,U=g.imageName?j:0,V=new a(5-uu-j,-U),q=new(Function.prototype.bind.apply(a,[null].concat(L)));D._rotateAround(N,B)._add(V)._add(q),z._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(u){var H=Math.sin(u),G=Math.cos(u),W=[G,-H,H,G];D._matMult(W),z._matMult(W),R._matMult(W),F._matMult(W)}var Y=new a(0,0),X=new a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;"source"===y.kind?(m=[Au*i.layout.get("text-size").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi("SymbolBuffers",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi("CollisionBuffers",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e["text-size"]),this.iconSizeData=Mu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.canOverlap=r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement"),this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi("SymbolBucket",hc,{omit:["layers","collisionBoxArray","features","compareText"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({"symbol-placement":new qi(Ft.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Ft.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Ft.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Hi(Ft.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new hn("source",s):new pn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({"background-color":new qi(Ft.paint_background["background-color"]),"background-pattern":new Wi(Ft.paint_background["background-pattern"]),"background-opacity":new qi(Ft.paint_background["background-opacity"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({"raster-opacity":new qi(Ft.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Ft.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Ft.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Ft.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Ft.paint_raster["raster-saturation"]),"raster-contrast":new qi(Ft.paint_raster["raster-contrast"]),"raster-resampling":new qi(Ft.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Ft.paint_raster["raster-fade-duration"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,"fill-extrusion":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Lc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi("CanonicalTileID",Vc),oi("OverscaledTileID",Hc,{omit:["posMatrix"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return k('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi("DEMData",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||"_geojsonTileLayer",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi("FeatureIndex",Jc,{omit:["rawTileData","sourceLayerCoder"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||"deferred"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=c,t.emitValidationErrors=Qn,t.endsWith=x,t.enforceCacheSizeLimit=function(t){dt(),rt&&rt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Su,t.evaluateSizeForZoom=Eu,t.evaluateVariableOffset=$u,t.evented=Ci,t.extend=p,t.featureFilter=An,t.filterObject=_,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=_u,t.getAnchorJustification=Qu,t.getArrayBuffer=Mt,t.getImage=Pt,t.getJSON=function(t,e){return At(p(t,{type:"json"}),e)},t.getRTLTextPluginStatus=Pi,t.getReferrer=Tt,t.getVideo=function(t,e){var r,n,i=s.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=s.document.createElement("source");r=t[a],n=void 0,(n=s.document.createElement("a")).href=r,n.protocol===s.document.location.protocol&&n.host===s.document.location.host||(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=Bo,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null},t.isChar=pi,t.isMapboxURL=Y,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=At,t.mapObject=b,t.mercatorXfromLng=Fc,t.mercatorYfromLat=Bc,t.mercatorZfromAltitude=Nc,t.mul=jo,t.multiply=No,t.mvt=tl,t.nextPowerOfTwo=function(t){return t<=1?1:Math.pow(2,Math.ceil(Math.log(t)/Math.LN2))},t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var 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g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n=r[e].charCodeAt(0),pi.Arabic(n)||pi["Arabic Supplement"](n)||pi["Arabic Extended-A"](n)||pi["Arabic Presentation Forms-A"](n)||pi["Arabic Presentation Forms-B"](n))return!1;var n;return!0}(g)?_:0,M=l.get("text-anchor").evaluate(a,{},o),S=l.get("text-variable-anchor");if(!S){var E=l.get("text-radial-offset").evaluate(a,{},o);v=E?$u(M,[E*Ll,Ju]):l.get("text-offset").evaluate(a,{},o).map((function(t){return t*Ll}))}var L=m?"center":l.get("text-justify").evaluate(a,{},o),C=l.get("symbol-placement"),P="point"===C?l.get("text-max-width").evaluate(a,{},o)*Ll:0,O=function(){t.allowVerticalPlacement&&di(g)&&(p.vertical=hu(d,e,r,i,s,P,y,M,"left",A,v,lu.vertical,!0,C,f,u))};if(!m&&S){for(var I="auto"===L?S.map((function(t){return Qu(t)})):[L],D=!1,z=0;z<I.length;z++){var R=I[z];if(!p.horizontal[R])if(D)p.horizontal[R]=p.horizontal[0];else{var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=yt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(yt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],u=0;u<a.geometry[s].length;u++)l.push(yt(a.geometry[s][u],e));i.push(l)}r.push(tt(a.id,o,i,a.tags))}return r}function yt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],u=l.geometry,c=l.type;if(l.geometry=[],1===c)for(n=0;n<u.length;n+=2)l.geometry.push(xt(u[n],u[n+1],e,a,o,s));else for(n=0;n<u.length;n++){var f=[];for(i=0;i<u[n].length;i+=2)f.push(xt(u[n][i],u[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)wt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. 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x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},q=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};q.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},q.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},q.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},q.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},q.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},He=t.pick(qt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(qt,["setCenter","setZoom","setBearing","setPitch"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event("data",{sourceDataType:"visibility",dataType:"source",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ze=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ke=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Je=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(" ");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push("#define OVERDRAW_INSPECTOR;");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join("\n"),m=g.concat(Ze.vertexSource,r.vertexSource).join("\n"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get("text-variable-anchor"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q="composite"===I.kind||"camera"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z="none"!==n.layout.get("icon-text-fit")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram("hillshadePrepare").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b="none"!==n.layout.get("icon-text-fit")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&un(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&un(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),nn(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:"lineProgress",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&"offscreen"===t.renderPass?dn(t,h,r,a,Et.disabled,o):"translucent"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add("boxZoom",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new xi;this._add("tapDragZoom",o);var s=e.touchPitch=new fi;this._add("touchPitch",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new gi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new pi;this._add("keyboard",v),this._add("blockableMapEvent",new Wn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+"start"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent("movestart",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent("move",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+"end"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event("moveend",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki("renderFrame",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x="number"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow",this._setElementTitle(e,"MapFeedback")}},Ei.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"visibility"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={"AttributionControl.ToggleAttribution":"Toggle attribution","AttributionControl.MapFeedback":"Map feedback","FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Oi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Oi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map"),this._canvas.setAttribute("role","region");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})),this._container.addEventListener("scroll",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("orientationchange",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute("aria-disabled",e.toString()),this._zoomOutButton.setAttribute("aria-disabled",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var a=r.createNS("http://www.w3.org/2000/svg","svg");a.setAttributeNS(null,"display","block"),a.setAttributeNS(null,"height","41px"),a.setAttributeNS(null,"width","27px"),a.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var u=0,c=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<c.length;u+=1){var f=c[u],h=r.createNS("http://www.w3.org/2000/svg","ellipse");h.setAttributeNS(null,"opacity","0.04"),h.setAttributeNS(null,"cx","10.5"),h.setAttributeNS(null,"cy","5.80029008"),h.setAttributeNS(null,"rx",f.rx),h.setAttributeNS(null,"ry",f.ry),l.appendChild(h)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var v=r.createNS("http://www.w3.org/2000/svg","g");v.setAttributeNS(null,"opacity","0.25"),v.setAttributeNS(null,"fill","#000000");var g=r.createNS("http://www.w3.org/2000/svg","path");g.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 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b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,"height",41*this._scale+"px"),a.setAttributeNS(null,"width",27*this._scale+"px"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return 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S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else 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u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:"Polygon",coordinates:[]}:1==c.length?{type:"Polygon",coordinates:c[0]}:{type:"MultiPolygon",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var 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t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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gl_PointSize;\n}\n"]),v&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}x.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if("number"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var 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n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Chæharshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Chæ","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),f=t-this.toJD(l,c,1)+1;return this.newDate(l,c,f)}}),n.calendars.persian=a,n.calendars.jalali=a},51456:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new 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t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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x,b,_,w="paper"===h("yref"),T="paper"===h("xref"),k="left";g?(_="middle",k=T?"left":"right",x=T?1.02:1,b=.5):(_=w?"bottom":"top",k="center",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:"number",min:T?-2:0,max:T?3:1,dflt:x}},"x"),n.coerce(f,c,{y:{valType:"number",min:w?-2:0,max:w?3:1,dflt:b}},"y"),h("xanchor",k),h("xpad"),h("yanchor",_),h("ypad"),n.noneOrAll(f,c,["x","y"]),h("outlinecolor"),h("outlinewidth"),h("bordercolor"),h("borderwidth"),h("bgcolor");var A=n.coerce(f,c,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:g?["outside","inside","outside top","inside top","outside bottom","inside bottom"]:["outside","inside","outside left","inside left","outside right","inside right"]}},"ticklabelposition");h("ticklabeloverflow",-1!==A.indexOf("inside")?"hide past domain":"hide past div"),a(f,c,h,"linear");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf("inside")&&(S.bgColor="black"),l(f,c,h,"linear",S),s(f,c,h,"linear",S),o(f,c,h,"linear",S),h("title.text",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,"title.font",L),h("title.side",g?"top":"right")}},37848:function(t,e,r){"use strict";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll("g."+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&m?"-"+m:""),e._traceIndex=n.index,e._propPrefix=(m?m+".":"")+"colorbar.",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,"rect",A.cbbg),u.ensureSingle(r,"g",A.cbfills),u.ensureSingle(r,"g",A.cblines),u.ensureSingle(r,"g",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,"g",A.cbtitleunshift,(function(t){t.append("g").classed(A.cbtitle,!0)})),u.ensureSingle(r,"rect",A.cboutline);var y=function(t,e,r){var o="v"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z="paper"===e.yref,R="paper"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent(("function"==typeof N?N:j.color).domain()),H="function"==typeof j.color?j.color:function(){return j.color},G="function"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*("fraction"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*("fraction"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i="v"===e.orientation,a={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:"y"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function 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a={propContainer:lt,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&("top"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),"bottom"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),"right"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+lt._id+"title-math-group").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,"top"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr("transform",c(h[0],h[1])),lt.setScale()}}else bt&&("right"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr("transform",c(h[0],h[1])),lt.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr("transform",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(X);m.enter().append("rect").classed(A.cbfill,!0).attr("style",""),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",rt).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var c=G(t).replace("e-","");l.attr("fill",i(c).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll("g."+lt._id+"tick,path").remove();var _=rt+K+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:"inside"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if("right"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,"bottom"===V&&(i=B.t+et*a+10+(-1===gt.indexOf("inside")?lt.tickfont.size:0)+("intside"!==lt.ticks&&e.ticklen||0)),"top"===V){var l=U.text.split("<br>").length;i=B.t+et*a+10-K-w*yt*l}_t((o?"h":"v")+lt._id+"title",{avoid:{selection:n.select(r).selectAll("g."+lt._id+"tick"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,"text-anchor":"middle"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=K+M/2;-1===gt.indexOf("inside")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select("text");var u=0,f=o&&"top"===V,v=!o&&"right"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(".h"+lt._id+"title-math-group").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||"top"!==V||(s+=n.height,g=n.height)),v&&(dt.attr("transform",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&"bottom"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),q=(o?st:rt)-(o?$:O+g-w);t.select("."+A.cbbg).attr("x",j).attr("y",q).attr(o?"width":"height",Math.max(b-w,2)).attr(o?"height":"width",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style("stroke-width",S);var H=v?Math.max(u-10,0):0;t.selectAll("."+A.cboutline).attr("x",(o?rt:st+P)+H).attr("y",(o?st+O-$:rt)+(f?xt:0)).attr(o?"width":"height",Math.max(K,2)).attr(o?"height":"width",Math.max($-(o?2*O+xt:2*P+H),2)).call(d.stroke,e.outlinecolor).style({fill:"none","stroke-width":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr("transform",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll("text"),X=Y[0].length,Z=t.select("."+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute("transform","translate("+n+",0) "+this.getAttribute("transform")):this.setAttribute("visibility","hidden"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?("pixels"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),"pixels"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):("pixels"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),"pixels"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?"b":"t",pt=e.x<.5?"l":"r";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-q-W,t:q+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s="v"===e.orientation,u=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr("transform"),h(t)},moveFn:function(r,o){t.attr("transform",n+c(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/u.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/u.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+"x"]=i,n[e._propPrefix+"y"]=a,void 0!==e._traceIndex?o.call("_guiRestyle",r,n,e._traceIndex):o.call("_guiRelayout",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},90553:function(t,e,r){"use strict";var n=r(3400);t.exports=function(t){return n.isPlainObject(t.colorbar)}},55080:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"colorbar",attributes:r(42996),supplyDefaults:r(64013),draw:r(37848).draw,hasColorbar:r(90553)}},49084:function(t,e,r){"use strict";var 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a=Z._module.hoverPoints(et,Q,tt,$,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&nt.push(R(s,I))}else o.log("Unrecognized trace type in hover:",Z);if("closest"===I&&nt.length>rt&&(nt.splice(0,rt),ft=nt[0].distance),m&&0!==q&&0===nt.length){et.distance=q,et.index=!1;var f=Z._module.hoverPoints(et,Q,tt,"closest",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=q}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=("x"===xt||"y"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==q&&0!==nt.length){var _t=pt(nt.filter((function(t){return 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S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var S=g[s],E=g[s+1],L=S[S.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Zt,Wt,c,Xt.commonLabelBoundingBox),z(Zt,Wt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Kt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Kt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:H,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:"component",name:"fx",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:r(62376)}},65460:function(t,e,r){"use strict";var n=r(92456),i=r(25376),a=i({editType:"none"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,t.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y 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y=[r.r2l(r.range[0]),r.r2l(r.range[1])],m=[v*y[0]+g*y[1],v*y[1]+g*y[0]];c[p+".range[0]"]=r.l2r(m[0]),c[p+".range[1]"]=r.l2r(m[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=u._isHoriz?"y":"x",o.setAttribute("data-val",l)),c[s]=l;u._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,c)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),u=0;u<o.length;u++)s[o[u]+"."+l[1]]=a;var c="pan"===a?a:"zoom";s.dragmode=c,n.call("_guiRelayout",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute("data-attr"),i="resetLastSave"===r,a="resetDefault"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},u=0;u<s.length;u++){var 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f=c.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,u+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function y(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function m(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c="in"===r?1.05*u:u/1.05;o[l+".zoom"]=c}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}c.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return u(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(u(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(u(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(u(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(u(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},c.sendDataToCloud={name:"sendDataToCloud",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:"editInChartStudio",title:function(t){return u(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},c.pan2d={name:"pan2d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},c.select2d={name:"select2d",_cat:"select",title:function(t){return u(t,"Box 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shape")},icon:o.eraseshape,click:s},c.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},c.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},c.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return u(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},c.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return u(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},c.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return u(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},c.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return u(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},c.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return u(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},c.pan3d={name:"pan3d",_cat:"pan",title:function(t){return u(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},c.orbitRotation={name:"orbitRotation",title:function(t){return u(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},c.tableRotation={name:"tableRotation",title:function(t){return u(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},c.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return u(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},c.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return u(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},c.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},c.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:v},c.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return u(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return u(t,"Toggle show closest data on 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hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},c.resetViews={name:"resetViews",title:function(t){return u(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},c.toggleSpikelines={name:"toggleSpikelines",title:function(t){return u(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return u(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},c.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return u(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return u(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m}},76052:function(t,e,r){"use strict";var n=r(44248),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(u,.3)),l("activecolor",i.addOpacity(u,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},45460:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"modebar",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){"use strict";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if("string"==typeof a){if(void 0===l[a])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has("cartesian"),g=e._has("gl3d"),y=e._has("geo"),m=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=["toggleHover"],I=["resetViews"]):y?(P=["zoomInGeo","zoomOutGeo"],O=["hoverClosestGeo"],I=["resetGeo"]):g?(O=["hoverClosest3d"],I=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],O=["toggleHover"],I=["resetViewMapbox"]):b?O=["hoverClosestGl2d"]:m?O=["hoverClosestPie"]:A?(O=["hoverClosestCartesian","hoverCompareCartesian"],I=["resetViewSankey"]):O=["toggleHover"],v&&(O=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==I[0]&&(I=["resetScale2d"])),g?D=["zoom3d","pan3d","orbitRotation","tableRotation"]:(v||b)&&!M||_?D=["zoom2d","pan2d"]:w||y?D=["pan2d"]:T&&(D=["zoom2d"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e}(r)&&D.push("select2d","lasso2d");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&D.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed("active",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},85984:function(t){"use 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g=d("bgcolor");d("activecolor",i.contrast(g,l.lightAmount,l.darkAmount)),d("bordercolor"),d("borderwidth")}}},50216:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i,a;l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:"all"===i.step?"all":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr("transform",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_="left";l.isRightAnchor(r)&&(x-=f,_="right"),l.isCenterAnchor(r)&&(x-=f/2,_="center");var w="top";l.isBottomAnchor(r)&&(b-=h,w="bottom"),l.isMiddleAnchor(r)&&(b-=h/2,w="middle"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr("transform",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){"use strict";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if("all"===e.step)a[r+".autorange"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n["utc"+i(s)],u=e.count;switch(e.stepmode){case"backward":r=t.l2r(+l.offset(o,-u));break;case"todate":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+".range[0]"]=o[0],a[r+".range[1]"]=o[1]}return a}},41152:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){"use strict";var n=r(22548);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){"use strict";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return"number"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return 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i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return 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D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(P-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return e+F*t},D=0;D<I.length;D++)(z=I[D]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=B[r+1];else if(t<n.pmin)break}return(t-e)/F}}}if("match"!==f.rangemode){var N=u.r2l(f.range[0]),j=u.r2l(f.range[1])-N;l.d2pOppAxis=function(t){return(t-N)/j*l._height}}a.call(y,t,r,l).call(m,t,r,l).call(x,t,r,l).call(b,t,r,l,f).call(_,t,r,l).call(w,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select("rect."+v.slideBoxClassName).node(),l=t.select("rect."+v.grabAreaMinClassName).node(),u=t.select("rect."+v.grabAreaMaxClassName).node();t.on("mousedown",c),t.on("touchstart",c)}function c(){var 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u,c,f=o.selectAll(".select-outline-"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call("_guiRelayout",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if("sankey"===a.type){var f=K(a._module,i,e[0],r[0]);s.push(f)}else{if(!(-1!==l.indexOf(a.xaxis)||a._xA&&a._xA.overlaying))continue;if(!(-1!==u.indexOf(a.yaxis)||a._yA&&a._yA.overlaying))continue;s.push(K(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(K(a._module,i,e[0],r[0]));return s}function K(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function J(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,"regl")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}function rt(t,e){for(var r,n,i=[],a=[],o=0;o<e.length;o++){var s=e[o];n=s._module.selectPoints(s,t),a.push(n),r=tt(n,s),i=i.concat(r)}return i}function nt(t,e,r,n,i){var a,o,s,l=!!n;i&&(a=i.plotinfo,o=i.xaxes[0]._id,s=i.yaxes[0]._id);var u=[],c=[],f=ot(t),h=t._fullLayout;if(a){var d=h._zoomlayer,g=h.dragmode,y=p(g),m=v(g);if(y||m){var x=C(t,o,"x"),b=C(t,s,"y");if(x&&b){var _=d.selectAll(".select-outline-"+a.id);if(_&&t._fullLayout._outlining&&_.length){for(var T=_[0][0].getAttribute("d"),k=w(T,t,a),A=[],M=0;M<k.length;M++){for(var S=k[M],E=[],L=0;L<S.length;L++)E.push([lt(x,S[L][1]),lt(b,S[L][2])]);E.xref=o,E.yref=s,E.subtract=st(E,A),A.push(E)}f=f.concat(A)}}}}var P=o&&s?[o+s]:h._subplots.cartesian;!function(t){var e=t.calcdata;if(e)for(var r=0;r<e.length;r++){var n=e[r][0].trace,i=t._fullLayout._splomScenes;if(i){var a=i[n.uid];a&&(a.selectBatch=[])}}}(t);for(var O={},I=0;I<P.length;I++){var D=P[I],z=D.indexOf("y"),R=D.slice(0,z),F=D.slice(z),B=o&&s?r:void 0;if(B=at(f,R,F,B)){var N=n;if(!l){var j=C(t,R,"x"),U=C(t,F,"y");N=Z(t,[j],[U],D);for(var V=0;V<N.length;V++){var q=N[V],H=q.cd[0],G=H.trace;if("scattergl"===q._module.name&&!H.t.xpx){var W=G.x,Y=G.y,X=G._length;H.t.xpx=[],H.t.ypx=[];for(var K=0;K<X;K++)H.t.xpx[K]=j.c2p(W[K]),H.t.ypx[K]=U.c2p(Y[K])}"splom"===q._module.name&&(O[G.uid]||(O[G.uid]=!0))}}var J=rt(B,N);u=u.concat(J),c=c.concat(N)}}var Q={points:u};$(t,c,Q);var tt=h.clickmode.indexOf("event")>-1&&e;if(!a&&e){var et=ot(t,!0);if(et.length){var nt=et[0].xref,pt=et[0].yref;if(nt&&pt){var dt=ut(et);ct([C(t,nt,"x"),C(t,pt,"y")])(Q,dt)}}t._fullLayout._noEmitSelectedAtStart?t._fullLayout._noEmitSelectedAtStart=!1:tt&&ft(t,Q),h._reselect=!1}if(!a&&h._deselect){var vt=h._deselect;(function(t,e,r){for(var n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=Z(t,[C(t,e,"x")],[C(t,r,"y")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,"x"),m=C(t,d,"y");if("rect"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if("path"===s.type)for(var T=s.path.split("Z"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+="Z";var S=g.extractPathCoords(M,y.paramIsX,"raw"),E=g.extractPathCoords(M,y.paramIsY,"raw");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return"date"===t.type&&(e=e.replace("_"," ")),"log"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+"min"],c=r[l+"max"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit("plotly_selected",e)}function ht(t){t.emit("plotly_deselect",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w="drawcircle"===i,T="drawline"===i||w,k=n.gd,A=k._fullLayout,S=b&&"immediate"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt="M"+F+","+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll("path.select-outline-"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:"rgba(0,0,0,0)",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):"#7f7f7f");bt.enter().append("path").attr("class","select-outline 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Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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c&&(q.addPt([lt,pt]),K=q.filtered);if(n.selectionDefs&&n.selectionDefs.length?(X=Q(n.mergedPolygons,K,xt),K.subtract=xt,H=G(n.selectionDefs.concat([K]))):(X=[K],H=R(K)),m(et(X,y),bt,n),b){var u,f=nt(k,!1),h=f.eventData?f.eventData.points.slice():[];f=nt(k,!1,H,Et,n),H=f.selectionTesters,at=f.eventData,u=q?q.filtered:ut(X),L.throttle(Mt,I.SELECTDELAY,(function(){for(var t=(St=rt(H,Et)).slice(),e=0;e<h.length;e++){for(var r=h[e],n=!1,i=0;i<t.length;i++)if(t[i].curveNumber===r.curveNumber&&t[i].pointNumber===r.pointNumber){n=!0;break}n||t.push(r)}t.length&&(at||(at={}),at.points=t),Lt(at,u),function(t,e){t.emit("plotly_selecting",e)}(k,at)}))}},n.clickFn=function(t,e){if(kt.remove(),k._fullLayout._activeShapeIndex>=0)k._fullLayout._deactivateShape(k);else if(!x){var r=A.clickmode;L.done(Mt).then((function(){if(L.clear(Mt),2===t){for(bt.remove(),J=0;J<Et.length;J++)(tt=Et[J])._module.selectPoints(tt,!1);if($(k,Et),Y(n),ht(k),Et.length){var i=Et[0].xaxis,o=Et[0].yaxis;if(i&&o){for(var s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",k,{selections:s}))}}}else r.indexOf("select")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),"event"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){"use strict";var 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n=e.xref,i=e.yref,a=o.getFromId(r,n),s=o.getFromId(r,i),l="";"paper"===n||a.autorange||(l+=n),"paper"===i||s.autorange||(l+=i),h.setClipUrl(t,l?"clip"+r._fullLayout._uid+l:null,r)}(e,r,t),Q.moveFn="move"===z?et:rt,Q.altKey=n.altKey)},doneFn:function(){b(t)||(v(e),it(l),T(e,t,r),i.call("_guiRelayout",t,c.getUpdateObj()))},clickFn:function(){b(t)||it(l)}};function tt(r){if(b(t))z=null;else if(j)z="path"===r.target.tagName?"move":"start-point"===r.target.attributes["data-line-point"].value?"resize-over-start-point":"resize-over-end-point";else{var n=Q.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!U&&i>R&&a>F&&!r.shiftKey?d.getCursor(o/i,1-s/a):"move";v(e,l),z=l.split("-")[0]}}function et(n,i){if("path"===r.type){var a=function(t){return t},o=a,c=a;B?V("xanchor",r.xanchor=K(w+n)):(o=function(t){return K(X(t)+n)},H&&"date"===H.type&&(o=y.encodeDate(o))),N?V("yanchor",r.yanchor=J(A+i)):(c=function(t){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"));return t}},93940:function(t,e,r){"use strict";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?"paper":T._id,yref:M?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){"use strict";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){"use strict";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return 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o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?"domain"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?"domain"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},"path"===d)return y&&"date"===y.type&&(s=e.decodeDate(s)),m&&"date"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t="pixel"===o?e(l)+Number(t):e(t):h[a]&&(t="pixel"===s?r(u)-Number(t):r(t)),++a>p&&(t="X"),t}));return a>p&&(d=d.replace(/[\s,]*X.*/,""),i.log("Ignoring extra 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on("mousedown",l),t.on("touchstart",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit("plotly_sliderstart",{slider:t});var l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on("mousemove",c),o.on("touchmove",c),o.on("mouseup",h),o.on("touchend",h)}}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,"rect",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr("opacity",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,"rect",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll("g."+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append("g").classed(f.containerClassName,!0).style("cursor",e?null:"ew-resize"),s.exit().each((function(){n.select(this).selectAll("g."+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll("g."+f.groupClassName).data(a,y);u.enter().append("g").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){"use strict";var n=r(60876);t.exports={moduleType:"component",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){"use strict";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:"").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;"title.text"===y?v="titleText":-1!==y.indexOf("axis")?v="axisTitleText":y.indexOf(!0)&&(v="colorbarTitleText");var I=t._context.edits[v];""===E?A=0:E.replace(d," % ")===m.replace(d," % 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});t.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:u,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},73712:function(t){"use 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l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&"buttons"!==o.type?[]:o.buttons,u="dropdown"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll("g."+u).data(s.filterVisible(l)),h=c.enter().append("g").classed(u,!0),p=c.exit();"dropdown"===o.type?(h.attr("opacity","0").transition().attr("opacity","1"),p.transition().attr("opacity","0").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==["up","down"].indexOf(o.direction);"dropdown"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),"dropdown"===o.type&&"up"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),"dropdown"===o.type&&"left"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=z(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=R(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[r,i,a]))return Promise.reject();r||i||o.isPlotDiv(t)||o.warn("Calling _doPlot as if redrawing but this container doesn't yet have a plot.",t),P(t,a),i||(i={}),n.select(t).classed("js-plotly-plot",!0),g.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(r);Array.isArray(r)&&(T.cleanData(r),f?t.data=r:t.data.push.apply(t.data,r),t.empty=!1),t.layout&&!f||(t.layout=T.cleanLayout(i)),h.supplyDefaults(t);var d=t._fullLayout,v=d._has("cartesian");d._replotting=!0,(f||d._shouldCreateBgLayer)&&(function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=lt,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(x.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var a=r._paper.append("g").classed("layer-below",!0);r._imageLowerLayer=a.append("g").classed("imagelayer",!0),r._shapeLowerLayer=a.append("g").classed("shapelayer",!0),r._cartesianlayer=r._paper.append("g").classed("cartesianlayer",!0),r._polarlayer=r._paper.append("g").classed("polarlayer",!0),r._smithlayer=r._paper.append("g").classed("smithlayer",!0),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._geolayer=r._paper.append("g").classed("geolayer",!0),r._funnelarealayer=r._paper.append("g").classed("funnelarealayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._iciclelayer=r._paper.append("g").classed("iciclelayer",!0),r._treemaplayer=r._paper.append("g").classed("treemaplayer",!0),r._sunburstlayer=r._paper.append("g").classed("sunburstlayer",!0),r._indicatorlayer=r._toppaper.append("g").classed("indicatorlayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0);var s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._selectionLayer=r._toppaper.append("g").classed("selectionlayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var _=o.extendFlat({},d._size),w=0;function A(){if(h.clearAutoMarginIds(t),k.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,"title.automargin"),d._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function M(){t._transitioning||(k.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod("rangeslider","calcAutorange")(t))}var S=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=d._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!d._glcanvas&&d._has("gl")&&(d._glcanvas=d._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),d._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(d._glcanvas){d._glcanvas.attr("width",d.width*i).attr("height",d.height*i).style("width",d.width+"px").style("height",d.height+"px");var a=d._glcanvas.data()[0].regl;if(a&&(Math.floor(d.width*i)!==a._gl.drawingBufferWidth||Math.floor(d.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!w)return o.log(s+" Clearing graph and plotting 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E(t),t}))},e.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},e.react=function(t,r,n,i){var a,l;t=o.getGraphDiv(t),T.clearPromiseQueue(t);var u=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&u&&p){if(o.isPlainObject(r)){var d=r;r=d.data,n=d.layout,i=d.config,a=d.frames}var v=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,P(t,i),v=st(g,t._context)}t.data=r||[],T.cleanData(t.data),t.layout=n||{},T.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,u,c,f,h,p,d,v,g=n._preGUI,y=[],m={},x={};for(i in g){if(c=et(i,Q)){if(d=c.head,v=c.tail,a=c.attr||d+".uirevision",(u=(l=s(n,a).get())&&rt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),at(p=(h=s(e,i)).get(),f)){void 0===p&&"autorange"===v&&y.push(d),h.set(B(s(n,i).get()));continue}if("autorange"===v||"range["===v.substr(0,6)){var 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y=t._fullData,m=t._fullLayout,x=void 0===m.datarevision,b=m.transition,_=function(t,e,r,n,i){var a=A.layoutFlags();return a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,ot(e,r,[],{getValObject:function(t){return f.getLayoutValObject(r,t)},flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0),i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some"),a}(t,p,m,x,b),w=_.newDataRevision,M=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,u=A.traceFlags();u.arrays={},u.nChanges=0,u.nChangesAnim=0;var c={getValObject:function(t){var 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if(M.fullReplot||_.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in _.arrays){var R=_.arrays[z];if(R.length){var F=c.getComponentMethod(z,"drawOne");if(F!==o.noop)for(var N=0;N<R.length;N++)F(t,R[N]);else{var j=c.getComponentMethod(z,"draw");if(j===o.noop)throw new Error("cannot draw components: "+z);j(t)}}}D.push(h.previousPromises),M.style&&D.push(k.doTraceStyle),(M.colorbars||_.colorbars)&&D.push(k.doColorBars),_.legend&&D.push(k.doLegend),_.layoutstyle&&D.push(k.layoutStyles),_.axrange&&G(D),_.ticks&&D.push(k.doTicksRelayout),_.modebar&&D.push(k.doModeBar),_.camera&&D.push(k.doCamera),D.push(E)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit("plotly_react",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return T.cleanData(t.data),T.cleanLayout(t.layout),t.calcdata=void 0,e._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},e.relayout=q,e.restyle=F,e.setPlotConfig=function(t){return o.extendFlat(_,t)},e.update=J,e._guiRelayout=$(q),e._guiRestyle=$(F),e._guiUpdate=$(J),e._storeDirectGUIEdit=function(t,e,r){for(var n in r)j(n,s(t,n).get(),r[n],e)}},20556:function(t){"use strict";var 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h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),v=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(v,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}H.autoTicks(l,f)}var g,y=l.dtick,m=H.tickIncrement(H.tickFirst(l),y,"reverse",a);if("number"==typeof y)m=function(t,e,r,n,a){var o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&"date"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for("M"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=H.tickIncrement(t,"M6","reverse")+1.5*M:a.exactMonths>.8?t=H.tickIncrement(t,"M1","reverse")+15.5*M:t-=S;var l=H.tickIncrement(t,r);if(l<=n)return 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?H.prepMinorTicks(R,t,e):H.prepTicks(R,e),"array"!==R.tickmode)if("sync"!==R.tickmode){var F=J(c),B=F[0],N=F[1],j=i(R.dtick),U="log"===a&&!(j||"L"===R.dtick.charAt(0)),V=H.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;"category"!==a&&"multicategory"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var q,G,W=null,Y=V;D&&(j?G=t.dtick:"date"===a?"string"==typeof t.dtick&&"M"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,q=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var X=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=H.tickIncrement(Y,X,!f,o))),D&&u&&(Y=H.tickIncrement(Y,X,!f,o),q--);f?Y>=N:Y<=N;Y=H.tickIncrement(Y,X,f,o)){if(D&&q++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===W)break;W=Y;var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it="y"===t._id.charAt(0),st=1;"auto"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text="",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=H.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=L&&a<=16||e>=E)t._tickround="M";else if(e>=C&&a<=19||e>=L)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}H.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick="M"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick="M"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=H.getTickFormat(t),u="period"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick="L"+dt(e,n,st)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},H.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,u,a);if("L"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if("D"===l){var c="D2"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick 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a,o=gt(t,e),l="array"===t.tickmode,u=r||l,c=t.type,f="category"===c?t.d2l_noadd:t.d2l;if(l&&s.isArrayOrTypedArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var v=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||H.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf("\n");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||"00:00:00"!==u&&"00:00"!==u?8===u.length&&(u=u.replace(/:00$/,"")):(u=l,l="")),l)if(r)"d"===a?u+=", "+l:u=l+(u?", "+u:"");else if(t._inCalcTicks&&t._prevDateHead===l){var 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O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf("select")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr("d",G(Tt))}else 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Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt("x")),at&&(F(J,r),Vt("y")),Wt([n,i,tt,et]),qt(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if("w"===it?e=p(K,0,e):"e"===it?e=p(K,1,-e):it||(e=0),"n"===at?r=p(J,1,r):"s"===at?r=p(J,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var 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n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:"zoom"})})),A=h.of(this,arguments),p++||A({type:"zoomstart"})})).on("zoomend",(function(){var r;n.select(this).style(u),d.call(a,"zoom",null),r=h.of(this,arguments),--p||r({type:"zoomend"}),f(t,e,y)})).on("zoom.redraw",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,h,"on")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){"use strict";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if("gl2d"===e){var c=r.match(i);o="x"+c[1],s="y"+c[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){"use strict";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case"pan":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){"use strict";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){"use strict";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},12536:function(t,e,r){"use strict";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},86140:function(t,e,r){"use strict";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},64380:function(t,e,r){"use strict";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},44728:function(t,e,r){"use strict";var n=r(43080),i=r(3400),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){"use strict";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},9020:function(t,e,r){"use strict";var n=r(43080),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},94424:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){"use strict";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("touchstart",(function(){w=!0})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||"").split("+"),S=A&&"all"===A;_.hovertemplate||S||(-1===M.indexOf("x")&&(k.xLabel=void 0),-1===M.indexOf("y")&&(k.yLabel=void 0),-1===M.indexOf("z")&&(k.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(k.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+k.uLabel),k.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+k.vLabel),k.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+k.normLabel),"streamtube"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,"bgcolor")||c.color,borderColor:d.castHoverOption(_,T,"bordercolor"),fontFamily:d.castHoverOption(_,T,"font.family"),fontSize:d.castHoverOption(_,T,"font.size"),fontColor:d.castHoverOption(_,T,"font.color"),nameLength:d.castHoverOption(_,T,"namelength"),textAlign:d.castHoverOption(_,T,"align"),hovertemplate:f.castOption(_,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var M=["xaxis","yaxis","zaxis"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;"ErrorBars"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if("cube"===D)g=[1,1,1];else if("manual"===D){var 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f=c({},e.radialaxis,{_id:"x"}),h=e.angularaxis;s(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},70384:function(t,e,r){"use strict";var n=r(3400),i=r(85968).handleRThetaDefaults,a=r(55592),o=r(78100);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l("thetaunit"),l("base"),l("offset"),l("width"),l("text"),l("hovertext"),l("hovertemplate"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},68896:function(t,e,r){"use strict";var n=r(93024),i=r(3400),a=r(63400).getTraceColor,o=i.fillText,s=r(8504).makeHoverPointText,l=r(57384).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=I.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function 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t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr("transform",(function(t){return l(t.x,0)})),r(i).attr("transform",(function(t){return l(0,t.y)})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("x",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(49084),i=r(94724),a=r(25376),o=r(86968).u,s=r(92880).extendFlat,l=r(31780).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},71864:function(t,e,r){"use 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x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(m>=x[0]&&m<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(v).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){"use strict";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(19976),categories:["gl","regl","noOpacity","noHover"],meta:{}}},19976:function(t,e,r){"use strict";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},95044:function(t,e,r){"use strict";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){"use 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n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,"values",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,"labelfont",y),n.coerceFont(c,"tickfont",y),n.coerceFont(c,"rangefont",y),c("labelangle"),c("labelside"),c("unselected.line.color"),c("unselected.line.opacity")}},95724:function(t,e,r){"use strict";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!("visible"in t)}},29928:function(t,e,r){"use strict";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){"use strict";var n=r(26444),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(30140).maxDimensionCount,s=r(3400),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var 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r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:"src alpha",dstRGB:"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var 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c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",i.isArrayOrTypedArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var 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n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){"use strict";var n=r(3400);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||""===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},75792:function(t,e,r){"use 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n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c="funnelarea"===u.type;"_hasHoverLabel"in u||(u._hasHoverLabel=!1),"_hasHoverEvent"in u||(u._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 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r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function 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r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle 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i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){"use strict";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){"use 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(94288).hasColorscale,i=r(47128),a=r(43028);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},88200:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},96664:function(t,e,r){"use strict";var n=r(16356),i=r(96376).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(21776).Ks,i=r(21776).Gw,a=r(52904),o=r(45464),s=r(49084),l=r(98192).u,u=r(92880).extendFlat,c=r(67824).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){"use strict";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){"use strict";var n=r(67072);e.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(44928);function 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){"use strict";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},31512:function(t,e,r){"use strict";var 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},424:function(t,e,r){"use strict";var n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var 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t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var 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n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var 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N=t.select("path.surface");h.styleOne(N,i,m,r,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:l||[f(i,m,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,r,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},78176:function(t,e,r){"use strict";var n=r(3400),i=r(76308),a=r(93972),o=r(69656);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(e.getPtId(o)===r)return 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n=r(33428),i=r(74148),a=r(67756).qy,o=r(43616),s=r(3400),l=r(72736),u=r(82744),c=u.recordMinTextSize,f=u.clearMinTextSize,h=r(37820),p=r(69656).getRotationAngle,d=h.computeTransform,v=h.transformInsideText,g=r(85676).styleOne,y=r(60100).resizeText,m=r(45716),x=r(27328),b=r(78176);function _(t,r,u,f){var h=t._context.staticPlot,y=t._fullLayout,_=!y.uniformtext.mode&&b.hasTransition(f),T=n.select(u).selectAll("g.slice"),k=r[0],A=k.trace,M=k.hierarchy,S=b.findEntryWithLevel(M,A.level),E=b.getMaxDepth(A),L=y._size,C=A.domain,P=L.w*(C.x[1]-C.x[0]),O=L.h*(C.y[1]-C.y[0]),I=.5*Math.min(P,O),D=k.cx=L.l+L.w*(C.x[1]+C.x[0])/2,z=k.cy=L.t+L.h*(1-C.y[0])-O/2;if(!S)return T.remove();var R=null,F={};_&&T.each((function(t){F[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!R&&b.isEntry(t)&&(R=t)}));var B=function(t){return 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a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split("+"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y("label")&&c.label&&m.push(c.label),c.hasOwnProperty("v")&&y("value")&&m.push(b.formatValue(c.v,l)),!h){y("current path")&&m.push(b.getPath(t.data));var x=0;y("percent parent")&&x++,y("percent entry")&&x++,y("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=" of "+t),m.push(v)};y("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),y("percent entry")&&(w=d/b.getValue(e),T("entry")),y("percent root")&&(w=d/b.getValue(f),T("root"))}}return y("text")&&(v=s.castOption(r,c.i,"text"),s.isValidTextValue(v)&&m.push(v)),m.join("<br>")}var k=s.castOption(r,c.i,"texttemplate");if(!k)return"";var A={};c.label&&(A.label=c.label),c.hasOwnProperty("v")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty("color")&&(A.color=c.color);var M=s.castOption(r,c.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){"use strict";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},79164:function(t,e,r){"use strict";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},60192:function(t,e,r){"use strict";var n=r(24040),i=r(3400),a=r(27260),o=r(16716);function s(t,e,r,n){var i=n("opacityscale");"max"===i?e.opacityscale=[[0,.1],[1,1]]:"min"===i?e.opacityscale=[[0,1],[1,.1]]:"extremes"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}t.exports={supplyDefaults:function(t,e,r,u){var c,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),v=h("z");if(!v||!v.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?v.length:v[0].length,e._ylength=v.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],u),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),y=["x","y","z"];for(c=0;c<3;++c){var m="contours."+y[c],x=h(m+".show"),b=h(m+".highlight");if(x||b)for(f=0;f<3;++f)h(m+".project."+y[f]);x&&(h(m+".color"),h(m+".width"),h(m+".usecolormap")),b&&(h(m+".highlightcolor"),h(m+".highlightwidth")),h(m+".start"),h(m+".end"),h(m+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,u,h,{prefix:"",cLetter:"c"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){"use strict";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:r(56576),plot:r(79164),moduleType:"trace",name:"surface",basePlotModule:r(12536),categories:["gl3d","2dMap","showLegend"],meta:{}}},60520:function(t,e,r){"use strict";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 0},85852:function(t,e,r){"use strict";var n=r(84888)._M,i=r(24752),a="table";e.name=a,e.plot=function(t){var e=n(t.calcdata,a)[0];e.length&&i(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(a),o=e._has&&e._has(a);i&&!o&&n._paperdiv.selectAll(".table").remove()}},39312:function(t,e,r){"use strict";var n=r(71688).wrap;t.exports=function(){return n({})}},23536:function(t){"use strict";t.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\$.*\$$/,goldenRatio:1.618,lineBreaker:"<br>",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},55992:function(t,e,r){"use strict";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll("."+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){var 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" 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v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=K[J[$]];C[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}for(Z=A.edges,K=A.positions,T=0;T<Z.length;++T)for(J=Z[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=K[J[$]],C[2*D]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*D+1]=V*(G*tt[0]+H*tt[1]+X[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(q,z,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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e=("property"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Bt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ze(r,["zoom","feature-state"]))return[new Bt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if("within"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Ln(t[1],t[2],"=="):"!="===r?On(Ln(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Ln(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(En))):"all"===r?["all"].concat(t.slice(1).map(En)):"none"===r?["all"].concat(t.slice(1).map(En).map(On)):"in"===r?Cn(t[1],t.slice(2)):"!in"===r?On(Cn(t[1],t.slice(2))):"has"===r?Pn(t[1]):"!has"===r?On(Pn(t[1])):"within"!==r||t}function Ln(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(Mn)]]:["filter-in-small",t,["literal",e]]}}function Pn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function On(t){return["!",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if("array"!==Qr(e))return[new Bt(r,e,"array expected, "+Qr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,"filter array must have at least 1 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Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new Bt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new Bt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property "'+o+'"')];if("string"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&tn(Vt(a))&&"identity"===Ut(a.type)&&f.push(new Bt(r,a,'"text-font" does not support identity functions'))),f.concat(Hn({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function Rn(t){return zn(t,"paint")}function Fn(t){return zn(t,"layout")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either "type" or "ref" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var u=Ut(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Ut(f.id)===u&&e.push(new Bt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new Bt(n,r,'missing required property "source"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Hn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:In,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return"string"!==n?[new Bt(r,e,"string expected, "+n+" found")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+"."+i,value:r[i]}));return 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Yn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Xn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Yn(t.apply(this,e))}}Wn.source=Xn(Un),Wn.light=Xn(Vn),Wn.layer=Xn(Bn),Wn.filter=Xn(In),Wn.paintProperty=Xn(Rn),Wn.layoutProperty=Xn(Fn);var Zn=Wn,Kn=Zn.light,Jn=Zn.paintProperty,$n=Zn.layoutProperty;function Qn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new zt(new Error(a.message))),r=!0}return r}var ti=ri,ei=3;function ri(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[ei+a],s=i[ei+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[ei+n.length],u=i[ei+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}ri.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},ri.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},ri.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},ri.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},ri.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},ri.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},ri.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},ri.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},ri.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=ei+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[ei+o]=a,i.set(s,a),a+=s.length}return i[ei+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[ei+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ni=s.ImageData,ii=s.ImageBitmap,ai={};function oi(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),ai[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var si in oi("Object",Object),ti.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},ti.deserialize=function(t){return new ti(t.buffer)},oi("Grid",ti),oi("Color",ue),oi("Error",Error),oi("ResolvedImage",pe),oi("StylePropertyFunction",vn),oi("StyleExpression",un,{omit:["_evaluator"]}),oi("ZoomDependentExpression",pn),oi("ZoomConstantExpression",hn),oi("CompoundExpression",Ee,{omit:["_evaluate"]}),qr)qr[si]._classRegistryKey||oi("Expression_"+si,qr[si]);function li(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function ui(t){return ii&&t instanceof ii}function ci(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(li(t)||ui(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ni)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ci(o,e))}return n}if("object"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error("can't serialize object of unregistered class");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ai[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ai[l].shallow.indexOf(c)>=0?f:ci(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(u.$name=l),u}throw new Error("can't serialize object of type "+typeof t)}function fi(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||li(t)||ui(t)||ArrayBuffer.isView(t)||t instanceof ni)return t;if(Array.isArray(t))return t.map(fi);if("object"==typeof t){var e=t.$name||"Object",r=ai[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=ai[e].shallow.indexOf(o)>=0?s:fi(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var hi=function(){this.first=!0};hi.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var pi={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and 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t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function di(t){for(var e=0,r=t;e<r.length;e+=1)if(vi(r[e].charCodeAt(0)))return!0;return!1}function vi(t){return!(746!==t&&747!==t&&(t<4352||!(pi["Bopomofo Extended"](t)||pi.Bopomofo(t)||pi["CJK Compatibility Forms"](t)&&!(t>=65097&&t<=65103)||pi["CJK Compatibility Ideographs"](t)||pi["CJK Compatibility"](t)||pi["CJK Radicals 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Syllables"](t)||pi["Yi Radicals"](t))))}function gi(t){return!(vi(t)||function(t){return!!(pi["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||pi["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||pi["Letterlike Symbols"](t)||pi["Number Forms"](t)||pi["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||pi["Control Pictures"](t)&&9251!==t||pi["Optical Character Recognition"](t)||pi["Enclosed Alphanumerics"](t)||pi["Geometric Shapes"](t)||pi["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||pi["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi["CJK Symbols and Punctuation"](t)||pi.Katakana(t)||pi["Private Use Area"](t)||pi["CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=ue.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return"constant"===this.value.kind},Ui.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Ui(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:"constant",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 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this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate($n,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof 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e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi("StructArrayLayout2i4",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ua.prototype.bytesPerElement=12,oi("StructArrayLayout3f12",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Qi);ca.prototype.bytesPerElement=4,oi("StructArrayLayout1ul4",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Qi);Ta.prototype.bytesPerElement=16,oi("StructArrayLayout4f16",Ta);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}($i);ka.prototype.size=20;var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new 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r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ma);oi("GlyphOffsetArray",Ca);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(xa);oi("SymbolLineVertexArray",Pa);var Oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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Float32Array(16),ro=function(t){function e(e,r){t.call(this,e,r),this.current=eo}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Xa);function no(t){return[Ra(255*t.r,255*t.g),Ra(255*t.b,255*t.a)]}var io=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};io.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},io.prototype.getBinding=function(t,e,r){return"color"===this.type?new to(t,e):new Ka(t,e)};var ao=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ao.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ao.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},ao.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Qa(t,e):new Ka(t,e)};var oo=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};oo.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Di(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},oo.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},oo.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=no(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},oo.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oo.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Di(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Di(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification["property-type"],f="cross-faded"===c||"cross-faded-data-driven"===c;if("constant"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push("/u_"+i);else if("source"===s.kind||f){var h=ho(i,l,"source");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push("/a_"+i)}else{var p=ho(i,l,"composite");this.binders[i]=new so(s,o,l,u,e,p),n.push("/z_"+i)}}}this.cacheKey=n.sort().join("")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},uo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},uo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var co=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new uo(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function fo(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function ho(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:ma,composite:oa}},i=function(t){return{"line-pattern":{source:sa,composite:sa},"fill-pattern":{source:sa,composite:sa},"fill-extrusion-pattern":{source:sa,composite:sa}}[t]}(t);return i&&i[r]||n[e][r]}co.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},co.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},co.prototype.get=function(t){return this.programConfigurations[t]},co.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},co.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},oi("ConstantBinder",io),oi("CrossFadedConstantBinder",ao),oi("SourceExpressionBinder",oo),oi("CrossFadedCompositeBinder",lo),oi("CompositeExpressionBinder",so),oi("ProgramConfiguration",uo,{omit:["_buffers"]}),oi("ProgramConfigurationSet",co);var po=8192,vo=Math.pow(2,14)-1,go=-vo-1;function yo(t){for(var e=po/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a],s=Math.round(o.x*e),l=Math.round(o.y*e);o.x=f(s,go,vo),o.y=f(l,go,vo),(s<o.x||s>o.x+1||l<o.y||l>o.y+1)&&k("Geometry exceeds allowed extent, reduce your vector tile buffer size")}return r}function mo(t,e){return{type:t.type,id:t.id,properties:t.properties,geometry:e?yo(t):[]}}function xo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ra,this.indexArray=new va,this.segments=new za,this.programConfigurations=new co(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function _o(t,e){for(var r=0;r<t.length;r++)if(Co(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Co(t,e[n]))return!0;return!!Ao(t,e)}function wo(t,e,r){return!!Co(t,e)||!!So(e,t,r)}function To(t,e){if(1===t.length)return Lo(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Co(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Lo(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Ao(t,e[o]))return!0;return!1}function ko(t,e,r){if(t.length>1){if(Ao(t,e))return!0;for(var n=0;n<e.length;n++)if(So(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(So(t[i],e,r))return!0;return!1}function Ao(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(Mo(n,i,e[a],e[a+1]))return!0;return!1}function Mo(t,e,r,n){return A(t,r,n)!==A(e,r,n)&&A(t,e,r)!==A(t,e,n)}function So(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Eo(t,e[i-1],e[i])<n)return!0;return!1}function Eo(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function Lo(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Co(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Po(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=A(t,e,r[0]);return a!==A(t,e,r[1])||a!==A(t,e,r[2])||a!==A(t,e,r[3])}function Oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Io(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Do(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var u=t[l];s.push(u.sub(o))}return s}bo.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],u=l.feature,c=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d=mo(u,p);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),d,r)){var v=a?a.evaluate(d,{},r):void 0,g={id:c,properties:u.properties,type:u.type,sourceLayerIndex:h,index:f,geometry:p?d.geometry:yo(u),patterns:{},sortKey:v};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Da),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},bo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],u=l.x,c=l.y;if(!(u<0||u>=po||c<0||c>=po)){var 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t.id}))};Us.prototype.populate=function(t,e,r){this.hasPattern=Ns("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r,e.availableImages):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("fill",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Us.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Us.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Us.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Us.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Us.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,is),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},Us.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},Us.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],v=0,g=s;v<g.length;v+=1){var y=g[v];if(0!==y.length){y!==s[0]&&d.push(p.length/2);var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var 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Hi(Ft["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Gi(Ft["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Hi(Ft["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new qi(Ft["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var 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e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty("mapbox_clip_start")&&t.properties.hasOwnProperty("mapbox_clip_end"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s="Polygon"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},vl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6),this.lineClips){var c=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(c,this.lineClipsArray.length)}var f=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,f),o.primitiveLength++),i?this.e2=f:this.e1=f},vl.prototype.updateScaledDistance=function(){this.scaledDistance=this.lineClips?this.lineClips.start+(this.lineClips.end-this.lineClips.start)*this.distance/this.totalDistance:this.distance},vl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},oi("LineBucket",vl,{omit:["layers","patternFeatures"]});var gl=new Xi({"line-cap":new qi(Ft.layout_line["line-cap"]),"line-join":new Hi(Ft.layout_line["line-join"]),"line-miter-limit":new qi(Ft.layout_line["line-miter-limit"]),"line-round-limit":new qi(Ft.layout_line["line-round-limit"]),"line-sort-key":new Hi(Ft.layout_line["line-sort-key"])}),yl={paint:new Xi({"line-opacity":new Hi(Ft.paint_line["line-opacity"]),"line-color":new Hi(Ft.paint_line["line-color"]),"line-translate":new qi(Ft.paint_line["line-translate"]),"line-translate-anchor":new qi(Ft.paint_line["line-translate-anchor"]),"line-width":new Hi(Ft.paint_line["line-width"]),"line-gap-width":new Hi(Ft.paint_line["line-gap-width"]),"line-offset":new Hi(Ft.paint_line["line-offset"]),"line-blur":new Hi(Ft.paint_line["line-blur"]),"line-dasharray":new Wi(Ft.paint_line["line-dasharray"]),"line-pattern":new Gi(Ft.paint_line["line-pattern"]),"line-gradient":new Yi(Ft.paint_line["line-gradient"])}),layout:gl},ml=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Di(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=p({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Hi),xl=new ml(yl.paint.properties["line-width"].specification);xl.useIntegerZoom=!0;var bl=function(t){function e(e){t.call(this,e,yl),this.gradientVersion=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){if("line-gradient"===t){var e=this._transitionablePaint._values["line-gradient"].value.expression;this.stepInterpolant=e._styleExpression.expression instanceof tr,this.gradientVersion=(this.gradientVersion+1)%l}},e.prototype.gradientExpression=function(){return this._transitionablePaint._values["line-gradient"].value.expression},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=xl.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new vl(t)},e.prototype.queryRadius=function(t){var e=t,r=_l(Oo("line-width",this,e),Oo("line-gap-width",this,e)),n=Oo("line-offset",this,e);return r/2+Math.abs(n)+Io(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Do(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),u=s/2*_l(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),c=this.paint.get("line-offset").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Co(t,i[a]))return!0;if(ko(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Ki);function _l(t,e){return e>0?e+2*t:t}var wl=ta([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Tl=ta([{name:"a_projected_pos",components:3,type:"Float32"}],4),kl=(ta([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),ta([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),Al=(ta([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),ta([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),Ml=ta([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);function Sl(t,e,r){return 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$o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi("ImagePosition",au),oi("ImageAtlas",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack="",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},fu.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(cu.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},fu.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(cu.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k("Reached maximum number of images 6401")}else k("Can't add FormattedSection with an empty image.")},fu.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},du={};function vu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Ll/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function gu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function yu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function mu(t,e,r,n,i,a){for(var o=null,s=gu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=gu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function xu(t){return t?xu(t.priorBreak).concat(t.index):[]}function bu(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=vu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("​")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(pu[p]||(c+=vu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(pi["Bopomofo Extended"](v)||pi.Bopomofo(v)||pi["CJK Compatibility Forms"](v)||pi["CJK Compatibility Ideographs"](v)||pi["CJK 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a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);oi("Anchor",ku);var Au=128;function Mu(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Di(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Di(s)),maxSize:r.evaluate(new Di(l)),interpolationType:i}}function Su(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/Au:"composite"===t.kind?er(a/Au,o/Au,i):n}function Eu(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var o=Ou(r,i,a),s=Iu(r,n)*a,l=0,u=Pu(t)/2,c=0;c<t.length-1;c++){var f=t[c],h=t[c+1],p=f.dist(h);if(l+p>u){var d=(u-l)/p,v=er(f.x,h.x,d),g=er(f.y,h.y,d),y=new ku(v,g,h.angleTo(f),c);return y._round(),!o||Cu(t,y,s,o,e)?y:void 0}l+=p}}function zu(t,e,r,n,i,a,o,s,l){var u=Ou(n,a,o),c=Iu(n,i),f=c*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),Ru(t,h?e/2*s%e:(c/2+2*a)*o*s%e,e,u,r,f,h,!1,l)}function Ru(t,e,r,n,i,a,o,s,l){for(var u=a/2,c=Pu(t),f=0,h=e-r,p=[],d=0;d<t.length-1;d++){for(var v=t[d],g=t[d+1],y=v.dist(g),m=g.angleTo(v);h+r<f+y;){var x=((h+=r)-f)/y,b=er(v.x,g.x,x),_=er(v.y,g.y,x);if(b>=0&&b<l&&_>=0&&_<l&&h-u>=0&&h+u<=c){var w=new ku(b,_,m,d);w._round(),n&&!Cu(t,w,a,n,i)||p.push(w)}}f+=y}return s||p.length||o||(p=Ru(t,f/2,r,n,i,a,o,!0,l)),p}function Fu(t,e,r,n,i){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],u=void 0,c=0;c<l.length-1;c++){var f=l[c],h=l[c+1];f.x<e&&h.x<e||(f.x<e?f=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new a(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new a(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new a(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=i&&h.y>=i||(f.y>=i?f=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round():h.y>=i&&(h=new a(f.x+(h.x-f.x)*((i-f.y)/(h.y-f.y)),i)._round()),u&&f.equals(u[u.length-1])||(u=[f],o.push(u)),u.push(h)))))}return o}var Bu=iu;function Nu(t,e,r,n){var i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*Bu,u=o.paddedRect.h-2*Bu,c=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,u]],d=function(t,e){return t+e[1]-e[0]},v=h.reduce(d,0),g=p.reduce(d,0),y=l-v,m=u-g,x=0,b=v,_=0,w=g,T=0,k=y,A=0,M=m;if(o.content&&n){var S=o.content;x=ju(h,0,S[0]),_=ju(p,0,S[1]),b=ju(h,S[0],S[2]),w=ju(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Vu(n.stretch-x,b,c,t.left),p=qu(n.fixed-T,k,n.stretch,v),d=Vu(i.stretch-_,w,f,t.top),y=qu(i.fixed-A,M,i.stretch,g),m=Vu(l.stretch-x,b,c,t.left),S=qu(l.fixed-T,k,l.stretch,v),E=Vu(u.stretch-_,w,f,t.top),L=qu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,q=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Bu+j,y:o.paddedRect.y+Bu+V,w:U-j,h:q-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Uu(h,y,v),C=Uu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},Gu=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Wu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Wu(t,e){return t<e?-1:t>e?1:0}function Yu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;u<l.length;u++){var c=l[u];(!u||c.x<n)&&(n=c.x),(!u||c.y<i)&&(i=c.y),(!u||c.x>o)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new Gu([],Xu);if(0===p)return new a(n,i);for(var g=n;g<o;g+=p)for(var y=i;y<s;y+=p)v.push(new Zu(g+d,y+d,d,t));for(var m=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],u=i[s],c=l.x*u.y-u.x*l.y;r+=(l.x+u.x)*c,n+=(l.y+u.y)*c,e+=3*c}return new Zu(r/e,n/e,0,t)}(t),x=v.length;v.length;){var b=v.pop();(b.d>m.d||!m.d)&&(m=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new Zu(b.p.x-d,b.p.y-d,d,t)),v.push(new Zu(b.p.x+d,b.p.y-d,d,t)),v.push(new Zu(b.p.x-d,b.p.y+d,d,t)),v.push(new Zu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+m.d)),m.p}function Xu(t,e){return e.max-t.max}function Zu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var u=a[o],c=a[l];u.y>t.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,Eo(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Gu.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Gu.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Gu.prototype.peek=function(){return this.data[0]},Gu.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Gu.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var Ku=7,Ju=Number.POSITIVE_INFINITY;function $u(t,e){return e[1]!==Ju?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Ku;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Ku}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Ku;break;case"bottom-right":case"bottom-left":n=-i+Ku;break;case"bottom":n=-e+Ku;break;case"top":n=e-Ku}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Qu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var tc=255,ec=tc*Au;function rc(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,v=p.positionedGlyphs;d<v.length;d+=1){var g=v[d];if(g.rect){var y=g.rect||{},m=ru+1,x=!0,b=1,_=0,w=(i||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=(g.scale-1)*Ll,A=(Ll-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,b=M.pixelRatio,m=iu/b}var S=i?[g.x+T,g.y]:[0,0],E=i?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-m)*g.scale-T+E[0],P=(-g.metrics.top-m)*g.scale+E[1],O=C+y.w*g.scale/b,I=P+y.h*g.scale/b,D=new a(C,P),z=new a(O,P),R=new a(C,I),F=new a(O,I);if(w){var B=new a(-T,T-uu),N=-Math.PI/2,j=Ll/2-T,U=g.imageName?j:0,V=new a(5-uu-j,-U),q=new(Function.prototype.bind.apply(a,[null].concat(L)));D._rotateAround(N,B)._add(V)._add(q),z._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(u){var H=Math.sin(u),G=Math.cos(u),W=[G,-H,H,G];D._matMult(W),z._matMult(W),R._matMult(W),F._matMult(W)}var Y=new a(0,0),X=new a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;"source"===y.kind?(m=[Au*i.layout.get("text-size").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for "text-size" is >= '+tc+'. 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Reduce your "text-size".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi("SymbolBuffers",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi("CollisionBuffers",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e["text-size"]),this.iconSizeData=Mu(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.canOverlap=r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement"),this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi("SymbolBucket",hc,{omit:["layers","collisionBoxArray","features","compareText"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({"symbol-placement":new qi(Ft.layout_symbol["symbol-placement"]),"symbol-spacing":new qi(Ft.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new qi(Ft.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Hi(Ft.layout_symbol["symbol-sort-key"]),"symbol-z-order":new qi(Ft.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new qi(Ft.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new qi(Ft.layout_symbol["icon-ignore-placement"]),"icon-optional":new qi(Ft.layout_symbol["icon-optional"]),"icon-rotation-alignment":new qi(Ft.layout_symbol["icon-rotation-alignment"]),"icon-size":new Hi(Ft.layout_symbol["icon-size"]),"icon-text-fit":new qi(Ft.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new qi(Ft.layout_symbol["icon-text-fit-padding"]),"icon-image":new Hi(Ft.layout_symbol["icon-image"]),"icon-rotate":new Hi(Ft.layout_symbol["icon-rotate"]),"icon-padding":new qi(Ft.layout_symbol["icon-padding"]),"icon-keep-upright":new qi(Ft.layout_symbol["icon-keep-upright"]),"icon-offset":new Hi(Ft.layout_symbol["icon-offset"]),"icon-anchor":new Hi(Ft.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new qi(Ft.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new qi(Ft.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new qi(Ft.layout_symbol["text-rotation-alignment"]),"text-field":new Hi(Ft.layout_symbol["text-field"]),"text-font":new Hi(Ft.layout_symbol["text-font"]),"text-size":new Hi(Ft.layout_symbol["text-size"]),"text-max-width":new Hi(Ft.layout_symbol["text-max-width"]),"text-line-height":new qi(Ft.layout_symbol["text-line-height"]),"text-letter-spacing":new Hi(Ft.layout_symbol["text-letter-spacing"]),"text-justify":new Hi(Ft.layout_symbol["text-justify"]),"text-radial-offset":new Hi(Ft.layout_symbol["text-radial-offset"]),"text-variable-anchor":new qi(Ft.layout_symbol["text-variable-anchor"]),"text-anchor":new Hi(Ft.layout_symbol["text-anchor"]),"text-max-angle":new qi(Ft.layout_symbol["text-max-angle"]),"text-writing-mode":new qi(Ft.layout_symbol["text-writing-mode"]),"text-rotate":new Hi(Ft.layout_symbol["text-rotate"]),"text-padding":new qi(Ft.layout_symbol["text-padding"]),"text-keep-upright":new qi(Ft.layout_symbol["text-keep-upright"]),"text-transform":new Hi(Ft.layout_symbol["text-transform"]),"text-offset":new Hi(Ft.layout_symbol["text-offset"]),"text-allow-overlap":new qi(Ft.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new qi(Ft.layout_symbol["text-ignore-placement"]),"text-optional":new qi(Ft.layout_symbol["text-optional"])}),dc={paint:new Xi({"icon-opacity":new Hi(Ft.paint_symbol["icon-opacity"]),"icon-color":new Hi(Ft.paint_symbol["icon-color"]),"icon-halo-color":new Hi(Ft.paint_symbol["icon-halo-color"]),"icon-halo-width":new Hi(Ft.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Hi(Ft.paint_symbol["icon-halo-blur"]),"icon-translate":new qi(Ft.paint_symbol["icon-translate"]),"icon-translate-anchor":new qi(Ft.paint_symbol["icon-translate-anchor"]),"text-opacity":new Hi(Ft.paint_symbol["text-opacity"]),"text-color":new Hi(Ft.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Hi(Ft.paint_symbol["text-halo-color"]),"text-halo-width":new Hi(Ft.paint_symbol["text-halo-width"]),"text-halo-blur":new Hi(Ft.paint_symbol["text-halo-blur"]),"text-translate":new qi(Ft.paint_symbol["text-translate"]),"text-translate-anchor":new qi(Ft.paint_symbol["text-translate-anchor"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi("FormatSectionOverride",vc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new hn("source",s):new pn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({"background-color":new qi(Ft.paint_background["background-color"]),"background-pattern":new Wi(Ft.paint_background["background-pattern"]),"background-opacity":new qi(Ft.paint_background["background-opacity"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({"raster-opacity":new qi(Ft.paint_raster["raster-opacity"]),"raster-hue-rotate":new qi(Ft.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new qi(Ft.paint_raster["raster-brightness-min"]),"raster-brightness-max":new qi(Ft.paint_raster["raster-brightness-max"]),"raster-saturation":new qi(Ft.paint_raster["raster-saturation"]),"raster-contrast":new qi(Ft.paint_raster["raster-contrast"]),"raster-resampling":new qi(Ft.paint_raster["raster-resampling"]),"raster-fade-duration":new qi(Ft.paint_raster["raster-fade-duration"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,"fill-extrusion":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Lc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Dc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi("CanonicalTileID",Vc),oi("OverscaledTileID",Hc,{omit:["posMatrix"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return k('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi("DEMData",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||"_geojsonTileLayer",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi("FeatureIndex",Jc,{omit:["rawTileData","sourceLayerCoder"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||"deferred"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send("enforceCacheSizeLimit",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=fn,t.createLayout=ta,t.createStyleLayer=function(t){return"custom"===t.type?new _c(t):new wc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=c,t.emitValidationErrors=Qn,t.endsWith=x,t.enforceCacheSizeLimit=function(t){dt(),rt&&rt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Su,t.evaluateSizeForZoom=Eu,t.evaluateVariableOffset=$u,t.evented=Ci,t.extend=p,t.featureFilter=An,t.filterObject=_,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=_u,t.getAnchorJustification=Qu,t.getArrayBuffer=Mt,t.getImage=Pt,t.getJSON=function(t,e){return At(p(t,{type:"json"}),e)},t.getRTLTextPluginStatus=Pi,t.getReferrer=Tt,t.getVideo=function(t,e){var r,n,i=s.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=s.document.createElement("source");r=t[a],n=void 0,(n=s.document.createElement("a")).href=r,n.protocol===s.document.location.protocol&&n.host===s.document.location.host||(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=Bo,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null},t.isChar=pi,t.isMapboxURL=Y,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=At,t.mapObject=b,t.mercatorXfromLng=Fc,t.mercatorYfromLat=Bc,t.mercatorZfromAltitude=Nc,t.mul=jo,t.multiply=No,t.mvt=tl,t.nextPowerOfTwo=function(t){return t<=1?1:Math.pow(2,Math.ceil(Math.log(t)/Math.LN2))},t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=er,t.offscreenCanvasSupported=bt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Ol(t).readFields(Ql,[])},t.pbf=Ol,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=po/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var 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g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*Ll,A=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n=r[e].charCodeAt(0),pi.Arabic(n)||pi["Arabic Supplement"](n)||pi["Arabic Extended-A"](n)||pi["Arabic Presentation Forms-A"](n)||pi["Arabic Presentation Forms-B"](n))return!1;var n;return!0}(g)?_:0,M=l.get("text-anchor").evaluate(a,{},o),S=l.get("text-variable-anchor");if(!S){var E=l.get("text-radial-offset").evaluate(a,{},o);v=E?$u(M,[E*Ll,Ju]):l.get("text-offset").evaluate(a,{},o).map((function(t){return t*Ll}))}var L=m?"center":l.get("text-justify").evaluate(a,{},o),C=l.get("symbol-placement"),P="point"===C?l.get("text-max-width").evaluate(a,{},o)*Ll:0,O=function(){t.allowVerticalPlacement&&di(g)&&(p.vertical=hu(d,e,r,i,s,P,y,M,"left",A,v,lu.vertical,!0,C,f,u))};if(!m&&S){for(var I="auto"===L?S.map((function(t){return Qu(t)})):[L],D=!1,z=0;z<I.length;z++){var R=I[z];if(!p.horizontal[R])if(D)p.horizontal[R]=p.horizontal[0];else{var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=yt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(yt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],u=0;u<a.geometry[s].length;u++)l.push(yt(a.geometry[s][u],e));i.push(l)}r.push(tt(a.id,o,i,a.tags))}return r}function yt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],u=l.geometry,c=l.type;if(l.geometry=[],1===c)for(n=0;n<u.length;n+=2)l.geometry.push(xt(u[n],u[n+1],e,a,o,s));else for(n=0;n<u.length;n++){var f=[];for(i=0;i<u[n].length;i+=2)f.push(xt(u[n][i],u[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)wt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{if(n.filter){var s=t.createExpression(n.filter,{type:"boolean","property-type":"data-driven",overridable:!1,transition:!1});if("error"===s.result)throw new Error(s.value.map((function(t){return t.key+": "+t.message})).join(", "));var l=o.features.filter((function(t){return s.value.evaluate({zoom:0},t)}));o={type:"FeatureCollection",features:l}}e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in 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r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. 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x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},q=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};q.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},q.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},q.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},q.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},q.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},He=t.pick(qt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(qt,["setCenter","setZoom","setBearing","setPitch"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event("data",{sourceDataType:"visibility",dataType:"source",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast("setImages",this._availableImages),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is required to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ze=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ke=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Je=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n=e.match(/attribute ([\w]+) ([\w]+)/g),i=t.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),a=e.match(/uniform ([\w]+) ([\w]+)([\s]*)([\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a="float"===n?"vec2":"vec4",o=i.match(/color/)?"color":a;return s[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\nvarying "+r+" "+n+" "+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+a+" a_"+i+";\n#else\nuniform "+r+" "+n+" u_"+i+";\n#endif\n":"vec4"===o?"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = a_"+i+";\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n    "+r+" "+n+" "+i+" = unpack_mix_"+o+"(a_"+i+", u_"+i+"_t);\n#else\n    "+r+" "+n+" "+i+" = u_"+i+";\n#endif\n"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(" ");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push("#define OVERDRAW_INSPECTOR;");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join("\n"),m=g.concat(Ze.vertexSource,r.vertexSource).join("\n"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},jr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get("raster-hue-rotate"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get("text-variable-anchor"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q="composite"===I.kind||"camera"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z="none"!==n.layout.get("icon-text-fit")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),tt={program:z,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram("hillshadePrepare").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b="none"!==n.layout.get("icon-text-fit")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&un(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&un(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),nn(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:"lineProgress",resolution:D,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&"offscreen"===t.renderPass?dn(t,h,r,a,Et.disabled,o):"translucent"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onTimeout"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!0}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add("boxZoom",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new xi;this._add("tapDragZoom",o);var s=e.touchPitch=new fi;this._add("touchPitch",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new gi(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new pi;this._add("keyboard",v),this._add("blockableMapEvent",new Wn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+"start"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent("movestart",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent("move",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+"end"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event("moveend",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki("renderFrame",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x="number"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_toggleAttribution","_updateEditLink","_updateData","_updateCompact"],this)};Ei.prototype.getDefaultPosition=function(){return"bottom-right"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._compactButton=r.create("button","mapboxgl-ctrl-attrib-button",this._container),this._compactButton.addEventListener("click",this._toggleAttribution),this._setElementTitle(this._compactButton,"ToggleAttribution"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),this._innerContainer.setAttribute("role","list"),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString("AttributionControl."+e);t.title=r,t.setAttribute("aria-label",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains("mapboxgl-compact-show")?(this._container.classList.remove("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","false")):(this._container.classList.add("mapboxgl-compact-show"),this._compactButton.setAttribute("aria-pressed","true"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow",this._setElementTitle(e,"MapFeedback")}},Ei.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"visibility"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact","mapboxgl-compact-show")};var Li=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return"bottom-left"},Li.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={"AttributionControl.ToggleAttribution":"Toggle attribution","AttributionControl.MapFeedback":"Map feedback","FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error("maxPitch must be less than or equal to 60");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ii))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_onMapScroll","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1),t.window.addEventListener("orientationchange",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():"top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Oi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Oi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map"),this._canvas.setAttribute("role","region");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})),this._container.addEventListener("scroll",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("orientationchange",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute("aria-disabled",e.toString()),this._zoomOutButton.setAttribute("aria-disabled",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var a=r.createNS("http://www.w3.org/2000/svg","svg");a.setAttributeNS(null,"display","block"),a.setAttributeNS(null,"height","41px"),a.setAttributeNS(null,"width","27px"),a.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var u=0,c=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<c.length;u+=1){var f=c[u],h=r.createNS("http://www.w3.org/2000/svg","ellipse");h.setAttributeNS(null,"opacity","0.04"),h.setAttributeNS(null,"cx","10.5"),h.setAttributeNS(null,"cy","5.80029008"),h.setAttributeNS(null,"rx",f.rx),h.setAttributeNS(null,"ry",f.ry),l.appendChild(h)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var v=r.createNS("http://www.w3.org/2000/svg","g");v.setAttributeNS(null,"opacity","0.25"),v.setAttributeNS(null,"fill","#000000");var g=r.createNS("http://www.w3.org/2000/svg","path");g.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 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b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,"height",41*this._scale+"px"),a.setAttributeNS(null,"width",27*this._scale+"px"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag")))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Gi="denied"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Xi--,Zi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:"metric"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll(["_onMove","setUnit"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString("ScaleControl.Miles")):ta(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?ta(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?ta(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):ta(e,n,s,t._getUIString("ScaleControl.Meters"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}$i.prototype.getDefaultPosition=function(){return"bottom-left"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},ea.prototype._isFullscreen=function(){return 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S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var D=this.counts[O],z=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=z.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else 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u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:"Polygon",coordinates:[]}:1==c.length?{type:"Polygon",coordinates:c[0]}:{type:"MultiPolygon",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var 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t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * 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gl_PointSize;\n}\n"]),v&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}x.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if("number"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var 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n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Chæharshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Chæ","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var u=t-this.toJD(l,1,1)+1,c=u<=186?Math.ceil(u/31):Math.ceil((u-6)/30),f=t-this.toJD(l,c,1)+1;return this.newDate(l,c,f)}}),n.calendars.persian=a,n.calendars.jalali=a},51456:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new 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t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(e.year()),a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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 </html>
 
@@ -1786,7 +1781,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_aacc22 {
+             #mynetwork_34d1a1 {
                  width: 800px;
                  height: 500px;
                  background-color: #ffffff;
@@ -1808,7 +1803,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_aacc22" class="card-body"></div>
+            <div id="mynetwork_34d1a1" class="card-body"></div>
         </div>
 
 
@@ -1838,13 +1833,13 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_aacc22');
+                  var container = document.getElementById('mynetwork_34d1a1');
 
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "red", "id": 4757093072, "label": "Daily video\nstreaming\nconsumption", "shape": "dot", "title": "UsagePattern id-0e4f7f-Daily-video-streaming-consumption\n \nhourly_user_journey_starts: 26280 values from 2025-01-01 00:00:00 to 2027-12-31\n23:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nuser_journey: id-bef9fd-Mean-video-consumption-user-journey\ndevices: [id-432eb2-Default-laptop]\nnetwork: id-2319bf-WIFI-network\ncountry: id-044f26-France\n \ncalculated_attributes:\nutc_hourly_user_journey_starts: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nnb_user_journeys_in_parallel: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1058.33, 767.97, 544.51, 403.83, 356.26, 405.81, 549.86, 779.32,\n1079.23, 1429.74],\nlast 10 vals [61224.34, 64119.95, 65111.1, 64130.14, 61243.82, 56648.73,\n50657.99, 43679.85, 36189.95, 28698.87]\ndevices_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nkWh:\nfirst 10 vals [52.92, 38.4, 27.23, 20.19, 17.81, 20.29, 27.49, 38.97, 53.96,\n71.49],\nlast 10 vals [3061.22, 3206.0, 3255.55, 3206.51, 3062.19, 2832.44, 2532.9,\n2183.99, 1809.5, 1434.94]\ndevices_energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ndevices_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]"}, {"color": "dodgerblue", "id": 4756490000, "label": "Mean video\nconsumption user\njourney", "shape": "dot", "title": "UserJourney id-bef9fd-Mean-video-consumption-user-journey\n \nuj_steps: [id-6dc3fc-20-min-streaming,\nid-3bf51c-1-min-video-capture-then-upload]\n \ncalculated_attributes:\nduration: 0.35 hour"}, {"color": "deepskyblue", "id": 4756491488, "label": "20 min streaming", "shape": "dot", "title": "UserJourneyStep id-6dc3fc-20-min-streaming\n \nuser_time_spent: 20 minute\njobs: [id-31e807-streaming]"}, {"color": "palegoldenrod", "id": 4756491152, "label": "streaming", "shape": "dot", "title": "Job id-31e807-streaming\n \njob_type: undefined\nserver: id-d33c18-server\nstorage: id-f650af-SSD-storage\ndata_upload: 0.05 megabyte\ndata_download: 800 megabyte\ndata_stored: 0.05 megabyte\nrequest_duration: 0.07 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [200.0, 145.13, 102.9, 76.31, 67.32, 76.69, 103.91, 147.27,\n203.95, 270.19],\nlast 10 vals [11569.95, 12117.16, 12304.46, 12119.08, 11573.63, 10705.27,\n9573.16, 8254.46, 6839.05, 5423.41]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]"}, {"color": "red", "id": 4756060160, "label": "server", "shape": "dot", "title": "Autoscaling id-d33c18-server\n \ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n \ncalculated_attributes:\nhour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in core:\nfirst 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5,\n205.65, 272.44],\nlast 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48,\n9652.94, 8323.25, 6896.04, 5468.6]\nhour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in GB:\nfirst 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\nlast 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16,\n344.8, 273.43]\navailable_ram_per_instance: 114.9 gigabyte\navailable_cpu_per_instance: 19.6 core\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\nlast 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66,\n351.84, 279.01]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\nlast 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0,\n280.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\nlast 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kWh:\nfirst 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\nlast 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9,\n126.67, 100.5]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\nlast 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67,\n10.05]"}, {"color": "palegoldenrod", "id": 4756492160, "label": "video upload", "shape": "dot", "title": "Job id-390ee7-video-upload\n \njob_type: undefined\nserver: id-d33c18-server\nstorage: id-f650af-SSD-storage\ndata_upload: 20 megabyte\ndata_download: 0 gigabyte\ndata_stored: 20 megabyte\nrequest_duration: 0.0 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1.67, 1.21, 0.86, 0.64, 0.56, 0.64, 0.87, 1.23, 1.7, 2.25],\nlast 10 vals [96.42, 100.98, 102.54, 100.99, 96.45, 89.21, 79.78, 68.79, 56.99,\n45.2]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]"}, {"color": "deepskyblue", "id": 4756489856, "label": "1 min video capture\nthen upload", "shape": "dot", "title": "UserJourneyStep id-3bf51c-1-min-video-capture-then-upload\n \nuser_time_spent: 70 second\njobs: [id-390ee7-video-upload]"}, {"color": "red", "id": 4756489040, "label": "SSD storage", "shape": "dot", "title": "Storage id-f650af-SSD-storage\n \ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 17532.0 hour\nbase_storage_need: 100 terabyte\n \ncalculated_attributes:\nstorage_needed: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [10.44, 10.93, 11.1, 10.93, 10.44, 9.66, 8.64, 7.45, 6.17, 4.89]\nstorage_dumps: 8748 values from 2027-01-01 10:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [-0.18, -0.13, -0.09, -0.07, -0.06, -0.07, -0.09, -0.13, -0.18,\n-0.24],\nlast 10 vals [-0.69, -0.51, -0.45, -0.51, -0.69, -0.98, -1.35, -1.79, -2.26,\n-2.73]\nstorage_delta: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [9.75, 10.42, 10.65, 10.42, 9.75, 8.68, 7.28, 5.66, 3.91, 2.17]\nfull_cumulative_storage_need: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in TB:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_active_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [10.44, 10.93, 11.1, 10.93, 10.44, 9.66, 8.64, 7.45, 6.17, 4.89]\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 102.0,\n102.0],\nlast 10 vals [72122.0, 72132.0, 72143.0, 72154.0, 72163.0, 72172.0, 72179.0,\n72185.0, 72189.0, 72191.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31],\nlast 10 vals [219.4, 219.43, 219.46, 219.5, 219.52, 219.55, 219.57, 219.59,\n219.6, 219.61]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin W * h:\nfirst 10 vals [0.28, 0.2, 0.14, 0.11, 0.09, 0.11, 0.15, 0.21, 0.29, 0.38],\nlast 10 vals [16.28, 17.06, 17.32, 17.06, 16.29, 15.07, 13.47, 11.62, 9.63,\n7.63]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]"}]);
-                  edges = new vis.DataSet([{"from": 4757093072, "to": 4756490000}, {"from": 4756490000, "to": 4756491488}, {"from": 4756491488, "to": 4756491152}, {"from": 4756491152, "to": 4756060160}, {"from": 4756060160, "to": 4756492160}, {"from": 4756492160, "to": 4756489856}, {"from": 4756489856, "to": 4756490000}, {"from": 4756492160, "to": 4756489040}, {"from": 4756489040, "to": 4756491152}]);
+                  nodes = new vis.DataSet([{"color": "red", "id": 5434806144, "label": "Daily video\nstreaming\nconsumption", "shape": "dot", "title": "UsagePattern id-ce51a1-Daily-video-streaming-consumption\n \nhourly_user_journey_starts: 26280 values from 2025-01-01 00:00:00 to 2027-12-31\n23:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nuser_journey: id-fb3507-Mean-video-consumption-user-journey\ndevices: [id-eefbe8-Default-laptop]\nnetwork: id-f8ef1d-WIFI-network\ncountry: id-a42045-France\n \ncalculated_attributes:\nutc_hourly_user_journey_starts: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nnb_user_journeys_in_parallel: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1058.33, 767.97, 544.51, 403.83, 356.26, 405.81, 549.86, 779.32,\n1079.23, 1429.74],\nlast 10 vals [61224.34, 64119.95, 65111.1, 64130.14, 61243.82, 56648.73,\n50657.99, 43679.85, 36189.95, 28698.87]\ndevices_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nkWh:\nfirst 10 vals [52.92, 38.4, 27.23, 20.19, 17.81, 20.29, 27.49, 38.97, 53.96,\n71.49],\nlast 10 vals [3061.22, 3206.0, 3255.55, 3206.51, 3062.19, 2832.44, 2532.9,\n2183.99, 1809.5, 1434.94]\ndevices_energy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ndevices_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [4.5, 3.26, 2.31, 1.72, 1.51, 1.72, 2.34, 3.31, 4.59, 6.08],\nlast 10 vals [260.2, 272.51, 276.72, 272.55, 260.29, 240.76, 215.3, 185.64,\n153.81, 121.97]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [10.76, 7.81, 5.54, 4.11, 3.62, 4.13, 5.59, 7.93, 10.97, 14.54],\nlast 10 vals [622.6, 652.05, 662.13, 652.15, 622.8, 576.07, 515.15, 444.19,\n368.02, 291.84]"}, {"color": "dodgerblue", "id": 5433019712, "label": "Mean video\nconsumption user\njourney", "shape": "dot", "title": "UserJourney id-fb3507-Mean-video-consumption-user-journey\n \nuj_steps: [id-9933a2-20-min-streaming,\nid-dbe16b-1-min-video-capture-then-upload]\n \ncalculated_attributes:\nduration: 0.35 hour"}, {"color": "deepskyblue", "id": 5434804080, "label": "20 min streaming", "shape": "dot", "title": "UserJourneyStep id-9933a2-20-min-streaming\n \nuser_time_spent: 20 minute\njobs: [id-d01667-streaming]"}, {"color": "palegoldenrod", "id": 5434803936, "label": "streaming", "shape": "dot", "title": "Job id-d01667-streaming\n \njob_type: undefined\nserver: id-e8b1b3-server\nstorage: id-e89ac0-SSD-storage\ndata_upload: 0.05 megabyte\ndata_download: 800 megabyte\ndata_stored: 0.05 megabyte\nrequest_duration: 0.07 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [200.0, 145.13, 102.9, 76.31, 67.32, 76.69, 103.91, 147.27,\n203.95, 270.19],\nlast 10 vals [11569.95, 12117.16, 12304.46, 12119.08, 11573.63, 10705.27,\n9573.16, 8254.46, 6839.05, 5423.41]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [150.0, 108.85, 77.17, 57.24, 50.49, 57.52, 77.93, 110.45, 152.96,\n202.64],\nlast 10 vals [8677.47, 9087.87, 9228.34, 9089.31, 8680.23, 8028.95, 7179.87,\n6190.84, 5129.28, 4067.56]"}, {"color": "red", "id": 5434470384, "label": "server", "shape": "dot", "title": "Autoscaling id-e8b1b3-server\n \ncarbon_footprint_fabrication: 600 kilogram\npower: 300 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nserver_utilization_rate: 0.9 dimensionless\nidle_power: 50 watt\nram: 128 gigabyte\ncpu_cores: 24 core\npower_usage_effectiveness: 1.2 dimensionless\nbase_ram_consumption: 300 megabyte\nbase_cpu_consumption: 2 core\n \ncalculated_attributes:\nhour_by_hour_cpu_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in core:\nfirst 10 vals [201.67, 146.34, 103.76, 76.95, 67.89, 77.33, 104.78, 148.5,\n205.65, 272.44],\nlast 10 vals [11666.37, 12218.13, 12407.0, 12220.07, 11670.08, 10794.48,\n9652.94, 8323.25, 6896.04, 5468.6]\nhour_by_hour_ram_need: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in GB:\nfirst 10 vals [10.08, 7.32, 5.19, 3.85, 3.39, 3.87, 5.24, 7.43, 10.28, 13.62],\nlast 10 vals [583.32, 610.91, 620.35, 611.0, 583.5, 539.72, 482.65, 416.16,\n344.8, 273.43]\navailable_ram_per_instance: 114.9 gigabyte\navailable_cpu_per_instance: 19.6 core\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [10.29, 7.47, 5.29, 3.93, 3.46, 3.95, 5.35, 7.58, 10.49, 13.9],\nlast 10 vals [595.22, 623.37, 633.01, 623.47, 595.41, 550.74, 492.5, 424.66,\n351.84, 279.01]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [11.0, 8.0, 6.0, 4.0, 4.0, 4.0, 6.0, 8.0, 11.0, 14.0],\nlast 10 vals [596.0, 624.0, 634.0, 624.0, 596.0, 551.0, 493.0, 425.0, 352.0,\n280.0]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.13, 0.09, 0.07, 0.05, 0.05, 0.05, 0.07, 0.09, 0.13, 0.16],\nlast 10 vals [6.8, 7.12, 7.23, 7.12, 6.8, 6.29, 5.62, 4.85, 4.02, 3.19]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kWh:\nfirst 10 vals [3.75, 2.72, 1.95, 1.42, 1.28, 1.42, 1.96, 2.75, 3.81, 5.01],\nlast 10 vals [214.33, 224.45, 227.94, 224.48, 214.38, 198.28, 177.33, 152.9,\n126.67, 100.5]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.37, 0.27, 0.19, 0.14, 0.13, 0.14, 0.2, 0.28, 0.38, 0.5],\nlast 10 vals [21.43, 22.45, 22.79, 22.45, 21.44, 19.83, 17.73, 15.29, 12.67,\n10.05]"}, {"color": "palegoldenrod", "id": 5434804704, "label": "video upload", "shape": "dot", "title": "Job id-295361-video-upload\n \njob_type: undefined\nserver: id-e8b1b3-server\nstorage: id-e89ac0-SSD-storage\ndata_upload: 20 megabyte\ndata_download: 0 gigabyte\ndata_stored: 20 megabyte\nrequest_duration: 0.0 hour\nram_needed: 50 megabyte\ncpu_needed: 1 core\ndescription:\n \ncalculated_attributes:\nhourly_occurrences_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [3000.0, 2176.93, 1543.48, 1144.71, 1009.87, 1150.32, 1558.64,\n2209.09, 3059.24, 4052.79],\nlast 10 vals [173549.32, 181757.33, 184566.9, 181786.23, 173604.52, 160579.09,\n143597.44, 123816.9, 102585.69, 81351.14]\nhourly_avg_occurrences_across_usage_patterns: 26280 values from 2024-12-31\n22:00:00 to 2027-12-31 21:00:00 in dimensionless:\nfirst 10 vals [1.67, 1.21, 0.86, 0.64, 0.56, 0.64, 0.87, 1.23, 1.7, 2.25],\nlast 10 vals [96.42, 100.98, 102.54, 100.99, 96.45, 89.21, 79.78, 68.79, 56.99,\n45.2]\nhourly_data_upload_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]\nhourly_data_stored_across_usage_patterns: 26280 values from 2024-12-31 22:00:00\nto 2027-12-31 21:00:00 in MB:\nfirst 10 vals [60000.0, 43538.66, 30869.61, 22894.22, 20197.46, 23006.4,\n31172.89, 44181.85, 61184.73, 81055.87],\nlast 10 vals [3470986.37, 3635146.55, 3691337.9, 3635724.68, 3472090.5,\n3211581.71, 2871948.86, 2476337.97, 2051713.81, 1627022.77]"}, {"color": "deepskyblue", "id": 5434804992, "label": "1 min video capture\nthen upload", "shape": "dot", "title": "UserJourneyStep id-dbe16b-1-min-video-capture-then-upload\n \nuser_time_spent: 70 second\njobs: [id-295361-video-upload]"}, {"color": "red", "id": 5434473744, "label": "SSD storage", "shape": "dot", "title": "Storage id-e89ac0-SSD-storage\n \ncarbon_footprint_fabrication: 160 kilogram\npower: 1.3 watt\nlifespan: 6 year\nfraction_of_usage_time: 1 dimensionless\naverage_carbon_intensity: 100.0 gram / kilowatt_hour\nlong_term_storage_required: None\ninstances_power: None\nidle_power: 0 watt\nstorage_capacity: 1 terabyte\npower_usage_effectiveness: 1.2 dimensionless\ndata_replication_factor: 3 dimensionless\ndata_storage_duration: 17532.0 hour\nbase_storage_need: 100 terabyte\n \ncalculated_attributes:\nstorage_delta: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\nTB:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [9.75, 10.42, 10.65, 10.42, 9.75, 8.68, 7.28, 5.66, 3.91, 2.17]\nfull_cumulative_storage_need: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in TB:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nraw_nb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [100.18, 100.31, 100.4, 100.47, 100.53, 100.6, 100.7, 100.83,\n101.01, 101.26],\nlast 10 vals [72121.51, 72131.93, 72142.58, 72153.0, 72162.75, 72171.43,\n72178.72, 72184.38, 72188.29, 72190.46]\nnb_of_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00 in\ndimensionless:\nfirst 10 vals [101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 102.0,\n102.0],\nlast 10 vals [72122.0, 72132.0, 72143.0, 72154.0, 72163.0, 72172.0, 72179.0,\n72185.0, 72189.0, 72191.0]\nnb_of_active_instances: 26280 values from 2024-12-31 22:00:00 to 2027-12-31\n21:00:00 in dimensionless:\nfirst 10 vals [0.18, 0.13, 0.09, 0.07, 0.06, 0.07, 0.09, 0.13, 0.18, 0.24],\nlast 10 vals [11.13, 11.44, 11.55, 11.45, 11.13, 10.64, 9.99, 9.24, 8.43, 7.62]\ninstances_fabrication_footprint: 26280 values from 2024-12-31 22:00:00 to\n2027-12-31 21:00:00 in kg:\nfirst 10 vals [0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31, 0.31],\nlast 10 vals [219.4, 219.43, 219.46, 219.5, 219.52, 219.55, 219.57, 219.59,\n219.6, 219.61]\ninstances_energy: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin W * h:\nfirst 10 vals [0.28, 0.2, 0.14, 0.11, 0.09, 0.11, 0.15, 0.21, 0.29, 0.38],\nlast 10 vals [17.36, 17.85, 18.02, 17.86, 17.37, 16.6, 15.59, 14.41, 13.15,\n11.89]\nenergy_footprint: 26280 values from 2024-12-31 22:00:00 to 2027-12-31 21:00:00\nin kg:\nfirst 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],\nlast 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]"}]);
+                  edges = new vis.DataSet([{"from": 5434806144, "to": 5433019712}, {"from": 5433019712, "to": 5434804080}, {"from": 5434804080, "to": 5434803936}, {"from": 5434803936, "to": 5434470384}, {"from": 5434470384, "to": 5434804704}, {"from": 5434804704, "to": 5434804992}, {"from": 5434804992, "to": 5433019712}, {"from": 5434804704, "to": 5434473744}, {"from": 5434473744, "to": 5434803936}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });
@@ -1947,7 +1942,7 @@ <h1></h1>
         </center>
         <style type="text/css">
 
-             #mynetwork_a02311 {
+             #mynetwork_bc4275 {
                  width: 800px;
                  height: 500px;
                  background-color: #ffffff;
@@ -1969,7 +1964,7 @@ <h1></h1>
         <div class="card" style="width: 100%">
 
 
-            <div id="mynetwork_a02311" class="card-body"></div>
+            <div id="mynetwork_bc4275" class="card-body"></div>
         </div>
 
 
@@ -1999,7 +1994,7 @@ <h1></h1>
 
               // This method is responsible for drawing the graph, returns the drawn network
               function drawGraph() {
-                  var container = document.getElementById('mynetwork_a02311');
+                  var container = document.getElementById('mynetwork_bc4275');
 
 
 
@@ -2079,7 +2074,6 @@ <h3 id="numeric-input-change">Numeric input change</h3>
 </span></code></pre></div>
 <div class="language-text highlight"><pre><span></span><code>Plotting the impact of streaming’s data_download changing from 800 megabyte to 500 megabyte
 </code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_35_1.png" /></p>
 <h3 id="system-structure-change">System structure change</h3>
 <p>Now let’s make a more complex change, like adding a conversation with a generative AI chatbot before streaming the video.
 Numerical values don’t matter so much for the sake of this tutorial, please check out <a href="https://github.com/publicissapient-france/e-footprint-modelings" target="_blank">the e-footprint-modelings github repository</a> for a more detailed modeling of the impact of LLM training and inference.</p>
@@ -2110,28 +2104,26 @@ <h3 id="system-structure-change">System structure change</h3>
 </span><span id="__span-20-2"><a id="__codelineno-20-2" name="__codelineno-20-2" href="#__codelineno-20-2"></a><span class="c1"># Don’t use user_journey.uj_steps.append(llm_chat_step) as e-footprint recomputation logic wouldn’t be triggered</span>
 </span><span id="__span-20-3"><a id="__codelineno-20-3" name="__codelineno-20-3" href="#__codelineno-20-3"></a><span class="n">user_journey</span><span class="o">.</span><span class="n">uj_steps</span> <span class="o">+=</span> <span class="p">[</span><span class="n">llm_chat_step</span><span class="p">]</span>
 </span></code></pre></div>
-<div class="language-text highlight"><pre><span></span><code>2024-09-24 15:21:07,247 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey
-2024-09-24 15:21:07,248 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption
-2024-09-24 15:21:07,262 - INFO - Computing calculated attributes for Job streaming
-2024-09-24 15:21:07,273 - INFO - Computing calculated attributes for Job video upload
-2024-09-24 15:21:07,284 - INFO - Computing calculated attributes for Job LLM API call
-2024-09-24 15:21:07,294 - INFO - Computing calculated attributes for Autoscaling server
-2024-09-24 15:21:07,324 - INFO - Computing calculated attributes for Storage SSD storage
-2024-09-24 15:21:07,365 - INFO - Computing calculated attributes for Network WIFI network
-2024-09-24 15:21:07,376 - INFO - Computing calculated attributes for Autoscaling Inference GPU server
+<div class="language-text highlight"><pre><span></span><code>2024-09-27 09:42:27,179 - INFO - Computing calculated attributes for UserJourney Mean video consumption user journey
+2024-09-27 09:42:27,180 - INFO - Computing calculated attributes for UsagePattern Daily video streaming consumption
+2024-09-27 09:42:27,189 - INFO - Computing calculated attributes for Job streaming
+2024-09-27 09:42:27,196 - INFO - Computing calculated attributes for Job video upload
+2024-09-27 09:42:27,199 - INFO - Computing calculated attributes for Job LLM API call
+2024-09-27 09:42:27,201 - INFO - Computing calculated attributes for Autoscaling server
+2024-09-27 09:42:27,207 - INFO - Computing calculated attributes for Storage SSD storage
+2024-09-27 09:42:27,224 - INFO - Computing calculated attributes for Network WIFI network
+2024-09-27 09:42:27,227 - INFO - Computing calculated attributes for Autoscaling Inference GPU server
 </code></pre></div>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-21-1"><a id="__codelineno-21-1" name="__codelineno-21-1" href="#__codelineno-21-1"></a><span class="n">system</span><span class="o">.</span><span class="n">plot_emission_diffs</span><span class="p">(</span><span class="s2">&quot;LLM chat addition.png&quot;</span><span class="p">)</span>
 </span></code></pre></div>
 <div class="language-text highlight"><pre><span></span><code>Plotting the impact of Mean video consumption user journey’s uj_steps changing from [&#39;20 min streaming&#39;, &#39;1 min video capture then upload&#39;] to [&#39;20 min streaming&#39;, &#39;1 min video capture then upload&#39;, &#39;Chat with LLM to select video&#39;]
 </code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_40_1.png" /></p>
 <p>We can see that server energy footprint has been multiplied by more than 10 and the rest of the impact is quite negligible. Good to know to make informed decisions ! Of course the impact is very much dependent on assumptions. If the LLM server ran on low-carbon electricity for example:</p>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-22-1"><a id="__codelineno-22-1" name="__codelineno-22-1" href="#__codelineno-22-1"></a><span class="n">llm_server</span><span class="o">.</span><span class="n">average_carbon_intensity</span><span class="o">=</span><span class="n">SourceValue</span><span class="p">(</span><span class="mi">50</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">g</span> <span class="o">/</span> <span class="n">u</span><span class="o">.</span><span class="n">kWh</span><span class="p">,</span> <span class="n">Sources</span><span class="o">.</span><span class="n">HYPOTHESIS</span><span class="p">)</span>
 </span><span id="__span-22-2"><a id="__codelineno-22-2" name="__codelineno-22-2" href="#__codelineno-22-2"></a><span class="n">system</span><span class="o">.</span><span class="n">plot_emission_diffs</span><span class="p">(</span><span class="s2">&quot;lower LLM inference carbon intensity.png&quot;</span><span class="p">)</span>
 </span></code></pre></div>
 <div class="language-text highlight"><pre><span></span><code>Plotting the impact of Inference GPU server’s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour
 </code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_42_1.png" /></p>
 <h2 id="recap-of-all-system-changes">Recap of all System changes</h2>
 <div class="language-python highlight"><pre><span></span><code><span id="__span-23-1"><a id="__codelineno-23-1" name="__codelineno-23-1" href="#__codelineno-23-1"></a><span class="n">system</span><span class="o">.</span><span class="n">plot_emission_diffs</span><span class="p">(</span><span class="s2">&quot;All system diffs.png&quot;</span><span class="p">,</span> <span class="n">from_start</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </span></code></pre></div>
@@ -2141,7 +2133,6 @@ <h2 id="recap-of-all-system-changes">Recap of all System changes</h2>
 - Mean video consumption user journey’s uj_steps changing from [&#39;20 min streaming&#39;, &#39;1 min video capture then upload&#39;] to [&#39;20 min streaming&#39;, &#39;1 min video capture then upload&#39;, &#39;Chat with LLM to select video&#39;]
 - Inference GPU server’s average_carbon_intensity changing from 300.0 gram / kilowatt_hour to 50.0 gram / kilowatt_hour
 </code></pre></div>
-<p><img alt="png" src="../tutorial_images/docs_tutorial.nbconvert_44_1.png" /></p>
 
 
 
@@ -2188,7 +2179,7 @@ <h2 id="recap-of-all-system-changes">Recap of all System changes</h2>
     </div>
     
     
-    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.07f07601.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
       <script src="../assets/javascripts/bundle.56dfad97.min.js"></script>
diff --git a/tutorial_images/docs_tutorial.nbconvert_23_0.png b/tutorial_images/docs_tutorial.nbconvert_23_0.png
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diff --git a/why_efootprint/index.html b/why_efootprint/index.html
index 38ca17d9..dbafd564 100644
--- a/why_efootprint/index.html
+++ b/why_efootprint/index.html
@@ -16,7 +16,7 @@
       
       
       <link rel="icon" href="../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.34">
+      <meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.5.36">
     
     
       
@@ -24,7 +24,7 @@
       
     
     
-      <link rel="stylesheet" href="../assets/stylesheets/main.35f28582.min.css">
+      <link rel="stylesheet" href="../assets/stylesheets/main.06209087.min.css">
       
       
 
@@ -1373,7 +1373,7 @@ <h2 id="get-started">Get started</h2>
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+    <script id="__config" type="application/json">{"base": "..", "features": ["content.code.copy"], "search": "../assets/javascripts/workers/search.6ce7567c.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
     
     
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