From e4e16279bb042bcf6be1b4bdde42f38ba1a0ac3b Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 12:42:56 -0500 Subject: [PATCH 1/7] load metadata tables when cache.load_latest_manifest() is called --- .../behavior/behavior_project_cache/project_cache_base.py | 1 + 1 file changed, 1 insertion(+) diff --git a/allensdk/brain_observatory/behavior/behavior_project_cache/project_cache_base.py b/allensdk/brain_observatory/behavior/behavior_project_cache/project_cache_base.py index e4cd41385..b1bc38db1 100644 --- a/allensdk/brain_observatory/behavior/behavior_project_cache/project_cache_base.py +++ b/allensdk/brain_observatory/behavior/behavior_project_cache/project_cache_base.py @@ -241,6 +241,7 @@ def load_latest_manifest(self) -> None: if not isinstance(self.fetch_api, self.cloud_api_class()): self._cache_not_implemented('load_latest_manifest') self.fetch_api.cache.load_latest_manifest() + self.load_manifest(self.current_manifest()) def latest_downloaded_manifest_file(self) -> str: """ From 87839c37031c56696bc6f2369b5c771d48b86d4f Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 12:48:04 -0500 Subject: [PATCH 2/7] try installing notebook requirements outside of notebook --- .github/workflows/notebook_runner.yml | 1 + notebook_requirements.txt | 1 + 2 files changed, 2 insertions(+) create mode 100644 notebook_requirements.txt diff --git a/.github/workflows/notebook_runner.yml b/.github/workflows/notebook_runner.yml index 6cc5710dc..968a6754e 100644 --- a/.github/workflows/notebook_runner.yml +++ b/.github/workflows/notebook_runner.yml @@ -22,6 +22,7 @@ jobs: run: | pip install -r requirements.txt pip install -r dev_requirements.txt + pip install -r notebook_requirements.txt pip install . ipython kernel install --name "python3" --user - name: Run notebooks diff --git a/notebook_requirements.txt b/notebook_requirements.txt new file mode 100644 index 000000000..044bdd758 --- /dev/null +++ b/notebook_requirements.txt @@ -0,0 +1 @@ +sklearn \ No newline at end of file From 9fff0014733455da8d988f5c68cbc664c746fbfb Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 15:34:03 -0500 Subject: [PATCH 3/7] don't hardcode path to manifest in nb --- ...ual_behavior_neuropixels_data_access.ipynb | 207 +++++++++++------- 1 file changed, 128 insertions(+), 79 deletions(-) diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb index cbac471fb..d82206e7c 100755 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "6eac13f8", "metadata": { "pycharm": { "name": "#%% md\n" @@ -13,6 +14,7 @@ }, { "cell_type": "markdown", + "id": "bf750919", "metadata": { "pycharm": { "name": "#%% md\n" @@ -30,6 +32,7 @@ }, { "cell_type": "markdown", + "id": "01a7f135", "metadata": { "pycharm": { "name": "#%% md\n" @@ -45,6 +48,7 @@ }, { "cell_type": "markdown", + "id": "04404969", "metadata": { "pycharm": { "name": "#%% md\n" @@ -70,6 +74,7 @@ }, { "cell_type": "markdown", + "id": "c9962815", "metadata": { "pycharm": { "name": "#%% md\n" @@ -81,6 +86,7 @@ }, { "cell_type": "markdown", + "id": "82546c42", "metadata": { "pycharm": { "name": "#%% md\n" @@ -93,6 +99,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "7a03b5d1", "metadata": { "pycharm": { "name": "#%%\n" @@ -186,6 +193,7 @@ }, { "cell_type": "markdown", + "id": "ee59e9f7", "metadata": { "pycharm": { "name": "#%% md\n" @@ -197,6 +205,7 @@ }, { "cell_type": "markdown", + "id": "5ec0e747", "metadata": { "pycharm": { "name": "#%% md\n" @@ -212,6 +221,7 @@ { "cell_type": "code", "execution_count": null, + "id": "5a360236", "metadata": { "pycharm": { "name": "#%%\n" @@ -225,6 +235,7 @@ }, { "cell_type": "markdown", + "id": "a504e881", "metadata": { "pycharm": { "name": "#%% md\n" @@ -237,25 +248,18 @@ { "cell_type": "code", "execution_count": 2, + "id": "6b741021", "metadata": { "pycharm": { "name": "#%%\n" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\corbettb\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\tqdm\\auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Your allensdk version is: 2.13.5\n" + "Your allensdk version is: 2.14.0\n" ] } ], @@ -272,6 +276,7 @@ }, { "cell_type": "markdown", + "id": "4201d911", "metadata": { "pycharm": { "name": "#%% md\n" @@ -283,7 +288,8 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, + "id": "6df5a6a9", "metadata": { "pycharm": { "name": "#%%\n" @@ -295,40 +301,20 @@ "outputs": [], "source": [ "# Update this to a valid directory in your filesystem. This is where the data will be stored.\n", - "output_dir = \"\\\\allen\\programs\\mindscope\\workgroups\\np-behavior\\vbn_data_release\\vbn_s3_cache\"\n", - "DOWNLOAD_COMPLETE_DATASET = True" + "output_dir = \"/tmp/vbn_s3_cache\"\n", + "DOWNLOAD_COMPLETE_DATASET = False" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, + "id": "76e86ff5", "metadata": { "pycharm": { "name": "#%%\n" } }, - "outputs": [ - { - "ename": "PermissionError", - "evalue": "[WinError 5] Access is denied: '\\\\allen'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mPermissionError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [3]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Update this to a valid directory in your filesystem. This is where the data will be stored.\u001b[39;00m\n\u001b[0;32m 2\u001b[0m data_storage_directory \u001b[38;5;241m=\u001b[39m Path(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124mallen\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mprograms\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmindscope\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mworkgroups\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mp-behavior\u001b[39m\u001b[38;5;130;01m\\v\u001b[39;00m\u001b[38;5;124mbn_data_release\u001b[39m\u001b[38;5;130;01m\\v\u001b[39;00m\u001b[38;5;124mbn_s3_cache\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m----> 4\u001b[0m cache \u001b[38;5;241m=\u001b[39m \u001b[43mVisualBehaviorNeuropixelsProjectCache\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_s3_cache\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_storage_directory\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\allensdk\\brain_observatory\\behavior\\behavior_project_cache\\project_cache_base.py:76\u001b[0m, in \u001b[0;36mProjectCacheBase.from_s3_cache\u001b[1;34m(cls, cache_dir)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[0;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfrom_s3_cache\u001b[39m(\u001b[38;5;28mcls\u001b[39m, cache_dir: Union[\u001b[38;5;28mstr\u001b[39m, Path]\n\u001b[0;32m 52\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mProjectCacheBase\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 53\u001b[0m \u001b[38;5;124;03m\"\"\"instantiates this object with a connection to an s3 bucket and/or\u001b[39;00m\n\u001b[0;32m 54\u001b[0m \u001b[38;5;124;03m a local cache related to that bucket.\u001b[39;00m\n\u001b[0;32m 55\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 73\u001b[0m \n\u001b[0;32m 74\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 76\u001b[0m fetch_api \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcloud_api_class\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_s3_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 77\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 78\u001b[0m \u001b[43m \u001b[49m\u001b[43mbucket_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBUCKET_NAME\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 79\u001b[0m \u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPROJECT_NAME\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 80\u001b[0m \u001b[43m \u001b[49m\u001b[43mui_class_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;18;43m__name__\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mcls\u001b[39m(fetch_api\u001b[38;5;241m=\u001b[39mfetch_api)\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\allensdk\\brain_observatory\\behavior\\behavior_project_cache\\project_apis\\data_io\\project_cloud_api_base.py:108\u001b[0m, in \u001b[0;36mProjectCloudApiBase.from_s3_cache\u001b[1;34m(cls, cache_dir, bucket_name, project_name, ui_class_name)\u001b[0m\n\u001b[0;32m 78\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[0;32m 79\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfrom_s3_cache\u001b[39m(\u001b[38;5;28mcls\u001b[39m, cache_dir: Union[\u001b[38;5;28mstr\u001b[39m, Path],\n\u001b[0;32m 80\u001b[0m bucket_name: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m 81\u001b[0m project_name: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m 82\u001b[0m ui_class_name: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mProjectCloudApiBase\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 83\u001b[0m \u001b[38;5;124;03m\"\"\"instantiates this object with a connection to an s3 bucket and/or\u001b[39;00m\n\u001b[0;32m 84\u001b[0m \u001b[38;5;124;03m a local cache related to that bucket.\u001b[39;00m\n\u001b[0;32m 85\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 106\u001b[0m \n\u001b[0;32m 107\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 108\u001b[0m cache \u001b[38;5;241m=\u001b[39m \u001b[43mS3CloudCache\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 109\u001b[0m \u001b[43m \u001b[49m\u001b[43mbucket_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 110\u001b[0m \u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 111\u001b[0m \u001b[43m \u001b[49m\u001b[43mui_class_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mui_class_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 112\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mcls\u001b[39m(cache)\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\allensdk\\api\\cloud_cache\\cloud_cache.py:1040\u001b[0m, in \u001b[0;36mS3CloudCache.__init__\u001b[1;34m(self, cache_dir, bucket_name, project_name, ui_class_name)\u001b[0m\n\u001b[0;32m 1037\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_manifest \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 1038\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bucket_name \u001b[38;5;241m=\u001b[39m bucket_name\n\u001b[1;32m-> 1040\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mproject_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 1041\u001b[0m \u001b[43m \u001b[49m\u001b[43mui_class_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mui_class_name\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\allensdk\\api\\cloud_cache\\cloud_cache.py:365\u001b[0m, in \u001b[0;36mCloudCacheBase.__init__\u001b[1;34m(self, cache_dir, project_name, ui_class_name)\u001b[0m\n\u001b[0;32m 364\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, cache_dir, project_name, ui_class_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m--> 365\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mproject_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 366\u001b[0m \u001b[43m \u001b[49m\u001b[43mui_class_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mui_class_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 368\u001b[0m \u001b[38;5;66;03m# what latest_manifest was the last time an OutdatedManifestWarning\u001b[39;00m\n\u001b[0;32m 369\u001b[0m \u001b[38;5;66;03m# was emitted\u001b[39;00m\n\u001b[0;32m 370\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_manifest_last_warned_on \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\site-packages\\allensdk\\api\\cloud_cache\\cloud_cache.py:63\u001b[0m, in \u001b[0;36mBasicLocalCache.__init__\u001b[1;34m(self, cache_dir, project_name, ui_class_name)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\n\u001b[0;32m 58\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 59\u001b[0m cache_dir: Union[\u001b[38;5;28mstr\u001b[39m, Path],\n\u001b[0;32m 60\u001b[0m project_name: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m 61\u001b[0m ui_class_name: Optional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 62\u001b[0m ):\n\u001b[1;32m---> 63\u001b[0m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 65\u001b[0m \u001b[38;5;66;03m# the class users are actually interacting with\u001b[39;00m\n\u001b[0;32m 66\u001b[0m \u001b[38;5;66;03m# (for warning message purposes)\u001b[39;00m\n\u001b[0;32m 67\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ui_class_name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\os.py:213\u001b[0m, in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m 211\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m head \u001b[38;5;129;01mand\u001b[39;00m tail \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m path\u001b[38;5;241m.\u001b[39mexists(head):\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 213\u001b[0m \u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhead\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexist_ok\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileExistsError\u001b[39;00m:\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# Defeats race condition when another thread created the path\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\os.py:213\u001b[0m, in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m 211\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m head \u001b[38;5;129;01mand\u001b[39;00m tail \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m path\u001b[38;5;241m.\u001b[39mexists(head):\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 213\u001b[0m \u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhead\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexist_ok\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileExistsError\u001b[39;00m:\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# Defeats race condition when another thread created the path\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\os.py:213\u001b[0m, in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m 211\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m head \u001b[38;5;129;01mand\u001b[39;00m tail \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m path\u001b[38;5;241m.\u001b[39mexists(head):\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 213\u001b[0m \u001b[43mmakedirs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhead\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexist_ok\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexist_ok\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 214\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileExistsError\u001b[39;00m:\n\u001b[0;32m 215\u001b[0m \u001b[38;5;66;03m# Defeats race condition when another thread created the path\u001b[39;00m\n\u001b[0;32m 216\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", - "File \u001b[1;32m~\\Anaconda3\\envs\\allensdk_38\\lib\\os.py:223\u001b[0m, in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[0;32m 222\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 223\u001b[0m \u001b[43mmkdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 224\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m:\n\u001b[0;32m 225\u001b[0m \u001b[38;5;66;03m# Cannot rely on checking for EEXIST, since the operating system\u001b[39;00m\n\u001b[0;32m 226\u001b[0m \u001b[38;5;66;03m# could give priority to other errors like EACCES or EROFS\u001b[39;00m\n\u001b[0;32m 227\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m exist_ok \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m path\u001b[38;5;241m.\u001b[39misdir(name):\n", - "\u001b[1;31mPermissionError\u001b[0m: [WinError 5] Access is denied: '\\\\allen'" - ] - } - ], + "outputs": [], "source": [ "output_dir = Path(output_dir)\n", "cache = VisualBehaviorNeuropixelsProjectCache.from_s3_cache(cache_dir=output_dir)" @@ -336,6 +322,7 @@ }, { "cell_type": "markdown", + "id": "8827f014", "metadata": { "pycharm": { "name": "#%% md\n" @@ -357,6 +344,7 @@ }, { "cell_type": "markdown", + "id": "ae48a02c", "metadata": { "pycharm": { "name": "#%% md\n" @@ -372,6 +360,7 @@ }, { "cell_type": "markdown", + "id": "1a9df3a1", "metadata": { "pycharm": { "name": "#%% md\n" @@ -385,7 +374,8 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, + "id": "e9043603", "metadata": { "pycharm": { "name": "#%%\n" @@ -397,10 +387,11 @@ "text/plain": [ "['visual-behavior-neuropixels_project_manifest_v0.1.0.json',\n", " 'visual-behavior-neuropixels_project_manifest_v0.2.0.json',\n", - " 'visual-behavior-neuropixels_project_manifest_v0.3.0.json']" + " 'visual-behavior-neuropixels_project_manifest_v0.3.0.json',\n", + " 'visual-behavior-neuropixels_project_manifest_v0.4.0.json']" ] }, - "execution_count": 3, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -411,6 +402,7 @@ }, { "cell_type": "markdown", + "id": "2ba3f1b8", "metadata": { "pycharm": { "name": "#%% md\n" @@ -422,7 +414,8 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, + "id": "5613bef1", "metadata": { "pycharm": { "name": "#%%\n" @@ -432,10 +425,10 @@ { "data": { "text/plain": [ - "'visual-behavior-neuropixels_project_manifest_v0.3.0.json'" + "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 4, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -446,6 +439,7 @@ }, { "cell_type": "markdown", + "id": "3a0d6d99", "metadata": { "pycharm": { "name": "#%% md\n" @@ -457,7 +451,8 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, + "id": "7283cb73", "metadata": { "pycharm": { "name": "#%%\n" @@ -467,10 +462,10 @@ { "data": { "text/plain": [ - "'visual-behavior-neuropixels_project_manifest_v0.3.0.json'" + "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -481,6 +476,7 @@ }, { "cell_type": "markdown", + "id": "ef88f02d", "metadata": { "pycharm": { "name": "#%% md\n" @@ -492,7 +488,8 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, + "id": "04b4fb64", "metadata": { "pycharm": { "name": "#%%\n" @@ -502,10 +499,12 @@ { "data": { "text/plain": [ - "['visual-behavior-neuropixels_project_manifest_v0.3.0.json']" + "['visual-behavior-neuropixels_project_manifest_v0.1.0.json',\n", + " 'visual-behavior-neuropixels_project_manifest_v0.2.0.json',\n", + " 'visual-behavior-neuropixels_project_manifest_v0.4.0.json']" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -516,6 +515,7 @@ }, { "cell_type": "markdown", + "id": "a7c54c94", "metadata": { "pycharm": { "name": "#%% md\n" @@ -535,7 +535,8 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, + "id": "fb97e162", "metadata": { "pycharm": { "name": "#%%\n" @@ -545,10 +546,10 @@ { "data": { "text/plain": [ - "'visual-behavior-neuropixels_project_manifest_v0.3.0.json'" + "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 6, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -559,6 +560,7 @@ }, { "cell_type": "markdown", + "id": "e622264b", "metadata": { "pycharm": { "name": "#%% md\n" @@ -570,7 +572,8 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, + "id": "ac47867c", "metadata": { "pycharm": { "name": "#%%\n" @@ -581,15 +584,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/adam.amster/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", + "/opt/anaconda3/lib/python3.8/site-packages/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", "\n", "The manifest file you are loading is not the most up to date manifest file available for this dataset. The most up to data manifest file available for this dataset is \n", "\n", - "visual-behavior-neuropixels_project_manifest_v0.3.0.json\n", + "visual-behavior-neuropixels_project_manifest_v0.4.0.json\n", "\n", "To see the differences between these manifests,run\n", "\n", - "VisualBehaviorNeuropixelsProjectCache.compare_manifests('visual-behavior-neuropixels_project_manifest_v0.2.0.json', 'visual-behavior-neuropixels_project_manifest_v0.3.0.json')\n", + "VisualBehaviorNeuropixelsProjectCache.compare_manifests('visual-behavior-neuropixels_project_manifest_v0.2.0.json', 'visual-behavior-neuropixels_project_manifest_v0.4.0.json')\n", "\n", "To see all of the manifest files currently downloaded onto your local system, run\n", "\n", @@ -610,7 +613,8 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, + "id": "28d01735", "metadata": { "pycharm": { "name": "#%%\n" @@ -623,7 +627,7 @@ "'visual-behavior-neuropixels_project_manifest_v0.2.0.json'" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -634,6 +638,7 @@ }, { "cell_type": "markdown", + "id": "b77392c7", "metadata": { "pycharm": { "name": "#%% md\n" @@ -645,7 +650,8 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, + "id": "75ff8702", "metadata": { "pycharm": { "name": "#%%\n" @@ -676,6 +682,7 @@ }, { "cell_type": "markdown", + "id": "4e77a447", "metadata": { "pycharm": { "name": "#%% md\n" @@ -687,6 +694,7 @@ }, { "cell_type": "markdown", + "id": "76730971", "metadata": { "pycharm": { "name": "#%% md\n" @@ -698,7 +706,8 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, + "id": "2b11b6f5", "metadata": {}, "outputs": [], "source": [ @@ -708,6 +717,7 @@ }, { "cell_type": "markdown", + "id": "35d495f1", "metadata": { "pycharm": { "name": "#%% md\n" @@ -722,6 +732,7 @@ { "cell_type": "code", "execution_count": 7, + "id": "c7fc8312", "metadata": { "pycharm": { "name": "#%%\n" @@ -1020,6 +1031,7 @@ }, { "cell_type": "markdown", + "id": "175e5d34", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1033,6 +1045,7 @@ }, { "cell_type": "markdown", + "id": "51807dc7", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1047,6 +1060,7 @@ { "cell_type": "code", "execution_count": 12, + "id": "4428bda5", "metadata": { "pycharm": { "name": "#%%\n" @@ -1286,6 +1300,7 @@ }, { "cell_type": "markdown", + "id": "93b90aae", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1297,6 +1312,7 @@ }, { "cell_type": "markdown", + "id": "d41f3afb", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1310,7 +1326,8 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, + "id": "0db9b3c8", "metadata": { "pycharm": { "name": "#%%\n" @@ -1355,6 +1372,7 @@ " unit_count\n", " channel_count\n", " structure_acronyms\n", + " file_id\n", " \n", " \n", " ecephys_probe_id\n", @@ -1367,6 +1385,7 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -1381,6 +1400,7 @@ " 701\n", " 384\n", " ['CA1', 'DG', 'LP', 'POL', 'PoT', 'VISpm', 'ro...\n", + " 0\n", " \n", " \n", " 1044506934\n", @@ -1393,6 +1413,7 @@ " 307\n", " 384\n", " ['MB', 'MRN', 'POST', 'SCig', 'VISp', 'root']\n", + " 1\n", " \n", " \n", " 1044506935\n", @@ -1405,6 +1426,7 @@ " 521\n", " 384\n", " ['CA1', 'CA3', 'DG', 'LGv', 'MB', 'TH', 'VISl'...\n", + " 2\n", " \n", " \n", " 1044506936\n", @@ -1417,6 +1439,7 @@ " 282\n", " 384\n", " ['CA1', 'DG', 'MB', 'MGd', 'MGm', 'MRN', 'SGN'...\n", + " 3\n", " \n", " \n", " 1044506937\n", @@ -1429,6 +1452,7 @@ " 368\n", " 384\n", " ['CA1', 'DG', 'LP', 'MRN', 'POL', 'PoT', 'SGN'...\n", + " 4\n", " \n", " \n", "\n", @@ -1459,16 +1483,16 @@ "1044506936 384 \n", "1044506937 384 \n", "\n", - " structure_acronyms \n", - "ecephys_probe_id \n", - "1044506933 ['CA1', 'DG', 'LP', 'POL', 'PoT', 'VISpm', 'ro... \n", - "1044506934 ['MB', 'MRN', 'POST', 'SCig', 'VISp', 'root'] \n", - "1044506935 ['CA1', 'CA3', 'DG', 'LGv', 'MB', 'TH', 'VISl'... \n", - "1044506936 ['CA1', 'DG', 'MB', 'MGd', 'MGm', 'MRN', 'SGN'... \n", - "1044506937 ['CA1', 'DG', 'LP', 'MRN', 'POL', 'PoT', 'SGN'... " + " structure_acronyms file_id \n", + "ecephys_probe_id \n", + "1044506933 ['CA1', 'DG', 'LP', 'POL', 'PoT', 'VISpm', 'ro... 0 \n", + "1044506934 ['MB', 'MRN', 'POST', 'SCig', 'VISp', 'root'] 1 \n", + "1044506935 ['CA1', 'CA3', 'DG', 'LGv', 'MB', 'TH', 'VISl'... 2 \n", + "1044506936 ['CA1', 'DG', 'MB', 'MGd', 'MGm', 'MRN', 'SGN'... 3 \n", + "1044506937 ['CA1', 'DG', 'LP', 'MRN', 'POL', 'PoT', 'SGN'... 4 " ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1483,6 +1507,7 @@ }, { "cell_type": "markdown", + "id": "edd8a43d", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1494,6 +1519,7 @@ }, { "cell_type": "markdown", + "id": "c701b36a", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1508,6 +1534,7 @@ { "cell_type": "code", "execution_count": 14, + "id": "1c31f14c", "metadata": { "pycharm": { "name": "#%%\n" @@ -1709,6 +1736,7 @@ }, { "cell_type": "markdown", + "id": "4e0c3fb0", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1720,6 +1748,7 @@ }, { "cell_type": "markdown", + "id": "a6999a80", "metadata": { "pycharm": { "name": "#%% md\n" @@ -1734,6 +1763,7 @@ { "cell_type": "code", "execution_count": 15, + "id": "de44e546", "metadata": { "pycharm": { "name": "#%%\n" @@ -2016,6 +2046,7 @@ }, { "cell_type": "markdown", + "id": "204b5bdd", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2032,6 +2063,7 @@ }, { "cell_type": "markdown", + "id": "fadc86ca", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2049,7 +2081,8 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, + "id": "78115f42", "metadata": { "pycharm": { "name": "#%%\n" @@ -2057,14 +2090,17 @@ }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "ecephys_session_1052533639.nwb: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 2.31G/2.31G [05:34<00:00, 6.92MMB/s]\n", - "/opt/anaconda3/envs/allensdk/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.5.1 because version 1.5.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/anaconda3/envs/allensdk/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-experimental' version 0.2.0 because version 0.1.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "ename": "AttributeError", + "evalue": "'Pandas' object has no attribute 'file_id'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mecephys_session\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ecephys_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mecephys_session_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1052533639\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_neuropixels_project_cache.py\u001b[0m in \u001b[0;36mget_ecephys_session\u001b[0;34m(self, ecephys_session_id)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 148\u001b[0m \"\"\"\n\u001b[0;32m--> 149\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfetch_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ecephys_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mecephys_session_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 150\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 151\u001b[0m def get_behavior_session(\n", + "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/behavior_neuropixels_project_cloud_api.py\u001b[0m in \u001b[0;36mget_ecephys_session\u001b[0;34m(self, ecephys_session_id)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mprobes_meta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m probe_data_path_map = {\n\u001b[0m\u001b[1;32m 129\u001b[0m p.name: make_lazy_load_filepath_function(\n\u001b[1;32m 130\u001b[0m \u001b[0mfile_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfile_id_column\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/behavior_neuropixels_project_cloud_api.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 128\u001b[0m probe_data_path_map = {\n\u001b[1;32m 129\u001b[0m p.name: make_lazy_load_filepath_function(\n\u001b[0;32m--> 130\u001b[0;31m \u001b[0mfile_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfile_id_column\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 131\u001b[0m )\n\u001b[1;32m 132\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprobes_meta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitertuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'Pandas' object has no attribute 'file_id'" ] } ], @@ -2075,6 +2111,7 @@ { "cell_type": "code", "execution_count": 17, + "id": "404eee4e", "metadata": { "pycharm": { "name": "#%%\n" @@ -2096,6 +2133,7 @@ }, { "cell_type": "markdown", + "id": "718398a8", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2108,6 +2146,7 @@ { "cell_type": "code", "execution_count": 18, + "id": "e129ce92", "metadata": { "pycharm": { "name": "#%%\n" @@ -2226,6 +2265,7 @@ { "cell_type": "code", "execution_count": 19, + "id": "b79a705f", "metadata": { "pycharm": { "name": "#%%\n" @@ -2262,6 +2302,7 @@ }, { "cell_type": "markdown", + "id": "20f26ffc", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2275,6 +2316,7 @@ }, { "cell_type": "markdown", + "id": "073479ed", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2291,6 +2333,7 @@ { "cell_type": "code", "execution_count": null, + "id": "a8dd738e", "metadata": { "pycharm": { "name": "#%%\n" @@ -2308,6 +2351,7 @@ }, { "cell_type": "markdown", + "id": "6c221e33", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2360,6 +2404,7 @@ { "cell_type": "code", "execution_count": 23, + "id": "4406b4fe", "metadata": { "pycharm": { "name": "#%%\n" @@ -2389,6 +2434,7 @@ { "cell_type": "code", "execution_count": 21, + "id": "85b08e04", "metadata": { "pycharm": { "name": "#%%\n" @@ -2416,6 +2462,7 @@ { "cell_type": "code", "execution_count": 22, + "id": "48725404", "metadata": { "pycharm": { "name": "#%%\n" @@ -2442,6 +2489,7 @@ }, { "cell_type": "markdown", + "id": "baa0a0b9", "metadata": { "pycharm": { "name": "#%% md\n" @@ -2496,6 +2544,7 @@ { "cell_type": "code", "execution_count": null, + "id": "680f6a45", "metadata": { "pycharm": { "name": "#%%\n" @@ -2508,7 +2557,7 @@ "import json\n", "\n", "# The location will differ based on where you downloaded the manifest.json!\n", - "my_manifest_location = output_dir / 'visual-behavior-neuropixels_project_manifest_v0.3.0.json'\n", + "my_manifest_location = output_dir / cache.current_manifest()\n", "\n", "def generate_all_download_urls_from_manifest(manifest_path: Path) -> List[str]:\n", " with manifest_path.open('r') as fp:\n", @@ -2542,9 +2591,9 @@ "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "allensdk", "language": "python", - "name": "python3" + "name": "allensdk" }, "language_info": { "codemirror_mode": { From 3232b73e2583b6adeb1e3962d4ae6fdc85e4d33d Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 15:37:16 -0500 Subject: [PATCH 4/7] library on pypi is called scikit-learn, not sklearn --- notebook_requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebook_requirements.txt b/notebook_requirements.txt index 044bdd758..ff88936c7 100644 --- a/notebook_requirements.txt +++ b/notebook_requirements.txt @@ -1 +1 @@ -sklearn \ No newline at end of file +scikit-learn \ No newline at end of file From 567c97549200b19fa91006c05fb20c9498162285 Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 15:40:05 -0500 Subject: [PATCH 5/7] sklearn -> scikit-learn --- doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb index 43482fca6..6baa7ea55 100644 --- a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb @@ -1121,7 +1121,7 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install sklearn\n", + "!pip install scikit-learn\n", "\n", "from sklearn import svm\n", "from sklearn.model_selection import KFold\n", From 86c77f5819fea976f0ee5d98dff02c1c5dd6a9bd Mon Sep 17 00:00:00 2001 From: Adam Amster Date: Tue, 13 Dec 2022 16:49:55 -0500 Subject: [PATCH 6/7] don't modify a property --- .../nb/visual_behavior_mouse_history.ipynb | 3818 +++++++++++------ 1 file changed, 2543 insertions(+), 1275 deletions(-) diff --git a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb index e24cad72f..58ccd2f1f 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb @@ -76,7 +76,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "allensdk version 2.10.2 or higher is required, you have 2.10.2 installed\n" + "allensdk version 2.10.2 or higher is required, you have 2.14.0 installed\n" ] } ], @@ -97,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -106,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -138,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "tags": [ "parameters" @@ -147,21 +147,22 @@ "outputs": [], "source": [ "# choose a location on your file system to cache NWB files as they are loaded:\n", - "output_dir = 'A_PATH_TO_SOME_LOCAL_FOLDER'" + "output_dir = '/tmp/cache'" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "ophys_session_table.csv: 100%|██████████| 165k/165k [00:00<00:00, 1.54MMB/s]\n", - "behavior_session_table.csv: 100%|██████████| 885k/885k [00:00<00:00, 4.96MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 336k/336k [00:00<00:00, 3.05MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 269kMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:03<00:00, 403kMB/s] \n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:01<00:00, 404kMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:09<00:00, 448kMB/s] \n" ] } ], @@ -676,16 +677,16 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "445002" + "'440298'" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -719,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": { "scrolled": false }, @@ -752,7 +753,6 @@ " driver_line\n", " sex\n", " age_in_days\n", - " session_type\n", " cre_line\n", " indicator\n", " session_number\n", @@ -764,6 +764,7 @@ " ophys_container_id\n", " project_code\n", " date_of_acquisition\n", + " session_type\n", " file_id\n", " \n", " \n", @@ -792,861 +793,997 @@ " \n", " \n", " \n", - " 837658854\n", - " BEH.B-Box3\n", + " 831129394\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 72.0\n", - " TRAINING_0_gratings_autorewards_15min\n", + " 81.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-15 14:49:24.015\n", + " 2019-03-01 13:25:23.766\n", + " TRAINING_0_gratings_autorewards_15min\n", " 1.085362e+09\n", " \n", " \n", - " 838515247\n", - " BEH.B-Box1\n", + " 832021447\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 75.0\n", - " TRAINING_1_gratings\n", + " 84.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-18 13:44:01.474\n", + " 2019-03-04 14:21:34.570\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", " \n", " \n", - " 839219841\n", - " BEH.B-Box1\n", + " 832544149\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 76.0\n", - " TRAINING_1_gratings\n", + " 85.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 1\n", + " 1.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-19 12:50:12.068\n", + " 2019-03-05 13:52:38.642\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", " \n", " \n", - " 839565422\n", - " BEH.B-Box1\n", + " 833328750\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 77.0\n", - " TRAINING_1_gratings\n", + " 86.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 2\n", + " 2.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-20 13:16:44.461\n", + " 2019-03-06 14:27:39.035\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", " \n", " \n", - " 839912316\n", - " BEH.B-Box1\n", + " 834087859\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 78.0\n", - " TRAINING_2_gratings_flashed\n", + " 87.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 3.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-21 12:54:25.388\n", - " 1.081589e+09\n", + " 2019-03-07 14:01:17.016\n", + " TRAINING_1_gratings\n", + " 1.085362e+09\n", " \n", " \n", - " 840581827\n", - " BEH.B-Box1\n", + " 834903060\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 79.0\n", - " TRAINING_2_gratings_flashed\n", + " 88.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 1\n", + " 0.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-22 12:56:37.162\n", - " 1.081589e+09\n", + " 2019-03-08 14:38:02.472\n", + " TRAINING_2_gratings_flashed\n", + " 1.081585e+09\n", " \n", " \n", - " 841426832\n", - " BEH.B-Box1\n", + " 835557296\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 82.0\n", - " TRAINING_3_images_A_10uL_reward\n", + " 91.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 1.0\n", + " NaN\n", " 0.0\n", - " 0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-25 13:33:53.275\n", - " 1.081589e+09\n", + " 2019-03-11 12:33:20.147\n", + " TRAINING_2_gratings_flashed\n", + " 1.081586e+09\n", " \n", " \n", - " 841827774\n", - " BEH.B-Box1\n", + " 836166694\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 83.0\n", + " 92.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " NaN\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2019-03-12 14:54:22.690\n", " TRAINING_3_images_A_10uL_reward\n", + " 1.081586e+09\n", + " \n", + " \n", + " 836761653\n", + " BEH.F\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 440298\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 93.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 1\n", " 1.0\n", - " 0\n", + " 1.0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-26 12:43:01.470\n", - " 1.081590e+09\n", + " 2019-03-13 12:53:27.462\n", + " TRAINING_3_images_A_10uL_reward\n", + " 1.081587e+09\n", " \n", " \n", - " 842385277\n", - " BEH.B-Box1\n", + " 837192567\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 84.0\n", - " TRAINING_3_images_A_10uL_reward\n", + " 94.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 2\n", " 2.0\n", - " 0\n", + " 2.0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-27 12:13:04.923\n", - " 1.081591e+09\n", + " 2019-03-14 12:49:43.211\n", + " TRAINING_3_images_A_10uL_reward\n", + " 1.081587e+09\n", " \n", " \n", - " 842819933\n", - " BEH.B-Box1\n", + " 837638916\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 85.0\n", - " TRAINING_4_images_A_training\n", + " 95.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " 3.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-28 12:11:36.413\n", - " 1.081591e+09\n", + " 2019-03-15 13:29:50.376\n", + " TRAINING_4_images_A_training\n", + " 1.081587e+09\n", " \n", " \n", - " 843400453\n", - " BEH.B-Box1\n", + " 838496126\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 86.0\n", - " TRAINING_5_images_A_epilogue\n", + " 98.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " 4.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-29 13:03:16.029\n", - " 1.081592e+09\n", + " 2019-03-18 13:05:17.767\n", + " TRAINING_5_images_A_epilogue\n", + " 1.081588e+09\n", " \n", " \n", - " 844199758\n", - " BEH.B-Box1\n", + " 839234289\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 89.0\n", - " TRAINING_5_images_A_handoff_ready\n", + " 99.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " 5.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-01 11:59:06.026\n", - " 1.081591e+09\n", + " 2019-03-19 13:15:41.106\n", + " TRAINING_5_images_A_handoff_ready\n", + " 1.081588e+09\n", " \n", " \n", - " 844908261\n", - " BEH.B-Box1\n", + " 839566045\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 90.0\n", - " TRAINING_5_images_A_handoff_ready\n", + " 100.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 1\n", + " 1.0\n", " 6.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-02 12:34:16.170\n", - " 1.081592e+09\n", + " 2019-03-20 13:07:21.399\n", + " TRAINING_5_images_A_handoff_ready\n", + " 1.081589e+09\n", " \n", " \n", - " 845572044\n", - " BEH.B-Box1\n", + " 839939986\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 91.0\n", - " TRAINING_5_images_A_handoff_ready\n", + " 101.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 2\n", + " 2.0\n", " 7.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-03 12:16:13.522\n", - " 1.081592e+09\n", + " 2019-03-21 13:10:44.301\n", + " TRAINING_5_images_A_handoff_ready\n", + " 1.081589e+09\n", " \n", " \n", - " 846331423\n", - " CAM2P.3\n", + " 840594514\n", + " BEH.F-Box5\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 92.0\n", - " OPHYS_0_images_A_habituation\n", + " 102.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 0.0\n", - " 0\n", + " NaN\n", + " 3.0\n", " 8.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-04 13:13:13.399\n", - " 1.085362e+09\n", + " 2019-03-22 13:23:58.465\n", + " TRAINING_5_images_A_handoff_ready\n", + " 1.081589e+09\n", " \n", " \n", - " 847036328\n", + " 841148118\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 93.0\n", - " OPHYS_0_images_A_habituation\n", + " 105.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 0.0\n", - " 1\n", + " 0.0\n", " 9.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-05 12:47:32.422\n", + " 2019-03-25 08:22:19.380\n", + " OPHYS_0_images_A_habituation\n", " 1.085362e+09\n", " \n", " \n", - " 847874940\n", + " 841707177\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 96.0\n", - " OPHYS_0_images_A_habituation\n", + " 106.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 0.0\n", - " 2\n", + " 1.0\n", " 10.0\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-08 13:27:21.095\n", + " 2019-03-26 08:21:46.265\n", + " OPHYS_0_images_A_habituation\n", " 1.085362e+09\n", " \n", " \n", - " 848613406\n", + " 842174399\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 97.0\n", - " OPHYS_1_images_A\n", + " 107.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 1.0\n", - " 0\n", + " 0.0\n", + " 2.0\n", " 11.0\n", - " 0\n", - " 848264483.0\n", - " [848697625]\n", - " [846215539]\n", + " 0.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2019-03-27 09:00:04.195\n", + " OPHYS_0_images_A_habituation\n", + " 1.085362e+09\n", + " \n", + " \n", + " 842729895\n", + " CAM2P.3\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 440298\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 108.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " 1.0\n", + " 0.0\n", + " 12.0\n", + " 0.0\n", + " 842583486.0\n", + " [842973730]\n", + " [843049827]\n", " VisualBehavior\n", - " 2019-04-09 13:26:26.372\n", + " 2019-03-28 09:17:59.122\n", + " OPHYS_1_images_A\n", " NaN\n", " \n", " \n", - " 849147676\n", + " 843203333\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 98.0\n", - " OPHYS_2_images_A_passive\n", + " 109.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 2.0\n", - " 0\n", - " 12.0\n", - " 1\n", - " 848894137.0\n", - " [849203565]\n", - " [846215539]\n", + " 0.0\n", + " 13.0\n", + " 1.0\n", + " 843049997.0\n", + " [843519218]\n", + " [843049827]\n", " VisualBehavior\n", - " 2019-04-10 13:34:39.264\n", + " 2019-03-29 08:58:48.934\n", + " OPHYS_2_images_A_passive\n", " NaN\n", " \n", " \n", - " 849651275\n", + " 844164376\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 99.0\n", + " 112.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " 3.0\n", + " 0.0\n", + " 14.0\n", + " 2.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2019-04-01 10:52:03.251\n", " OPHYS_3_images_A\n", + " 1.081592e+09\n", + " \n", + " \n", + " 844849972\n", + " CAM2P.3\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 440298\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 113.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 3.0\n", - " 0\n", - " 13.0\n", - " 2\n", - " 849597937.0\n", - " [850479305]\n", - " [846215539]\n", - " VisualBehavior\n", - " 2019-04-11 12:31:50.074\n", + " 1.0\n", + " 15.0\n", + " 3.0\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", + " 2019-04-02 11:36:52.447\n", + " OPHYS_3_images_A\n", + " 1.081592e+09\n", " \n", " \n", - " 850989832\n", + " 845441512\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 100.0\n", - " OPHYS_4_images_B\n", + " 114.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 4.0\n", - " 0\n", " 0.0\n", - " 3\n", - " 850959102.0\n", - " [851060467]\n", - " [846215539]\n", + " 0.0\n", + " 4.0\n", + " 845219209.0\n", + " [848694639]\n", + " [843049827]\n", " VisualBehavior\n", - " 2019-04-12 13:30:27.946\n", + " 2019-04-03 10:15:51.376\n", + " OPHYS_4_images_B\n", " NaN\n", " \n", " \n", - " 851773928\n", + " 846194950\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 103.0\n", - " OPHYS_5_images_B_passive\n", + " 115.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 5.0\n", - " 0\n", + " 0.0\n", " 1.0\n", - " 4\n", + " 5.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-04-15 12:20:00.123\n", - " 1.081596e+09\n", + " 2019-04-04 11:13:54.409\n", + " OPHYS_5_images_B_passive\n", + " 1.081593e+09\n", " \n", " \n", - " 852451567\n", + " 846929750\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 104.0\n", - " OPHYS_6_images_B\n", + " 116.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 6.0\n", - " 0\n", + " 0.0\n", " 2.0\n", - " 5\n", - " 852326785.0\n", - " [852691524]\n", - " [846215539]\n", + " 6.0\n", + " 846599329.0\n", + " [847125577]\n", + " [843049827]\n", " VisualBehavior\n", - " 2019-04-16 12:24:46.804\n", + " 2019-04-05 11:07:22.302\n", + " OPHYS_6_images_B\n", " NaN\n", " \n", " \n", - " 855200229\n", + " 848503804\n", " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 110.0\n", - " OPHYS_5_images_B_passive\n", + " 120.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " 5.0\n", - " 1\n", + " 1.0\n", " 3.0\n", - " 6\n", - " 855083235.0\n", - " [855582961]\n", - " [846215539]\n", + " 7.0\n", + " 848264175.0\n", + " [848698709]\n", + " [843049827]\n", " VisualBehavior\n", - " 2019-04-22 09:01:33.022\n", + " 2019-04-09 11:30:55.092\n", + " OPHYS_5_images_B_passive\n", " NaN\n", " \n", - " \n", - "\n", - "" - ], - "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "837658854 BEH.B-Box3 \n", - "838515247 BEH.B-Box1 \n", - "839219841 BEH.B-Box1 \n", - "839565422 BEH.B-Box1 \n", - "839912316 BEH.B-Box1 \n", - "840581827 BEH.B-Box1 \n", - "841426832 BEH.B-Box1 \n", - "841827774 BEH.B-Box1 \n", - "842385277 BEH.B-Box1 \n", - "842819933 BEH.B-Box1 \n", - "843400453 BEH.B-Box1 \n", - "844199758 BEH.B-Box1 \n", - "844908261 BEH.B-Box1 \n", - "845572044 BEH.B-Box1 \n", - "846331423 CAM2P.3 \n", - "847036328 CAM2P.3 \n", - "847874940 CAM2P.3 \n", - "848613406 CAM2P.3 \n", - "849147676 CAM2P.3 \n", - "849651275 CAM2P.3 \n", - "850989832 CAM2P.3 \n", - "851773928 CAM2P.3 \n", - "852451567 CAM2P.3 \n", - "855200229 CAM2P.3 \n", - "\n", - " full_genotype \\\n", + " \n", + " 853526948\n", + " CAM2P.3\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 440298\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 129.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " 3.0\n", + " 2.0\n", + " 16.0\n", + " 8.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2019-04-18 09:36:48.583\n", + " OPHYS_3_images_A\n", + " 1.081598e+09\n", + " \n", + " \n", + "\n", + "" + ], + "text/plain": [ + " equipment_name \\\n", + "behavior_session_id \n", + "831129394 BEH.F \n", + "832021447 BEH.F \n", + "832544149 BEH.F \n", + "833328750 BEH.F \n", + "834087859 BEH.F \n", + "834903060 BEH.F \n", + "835557296 BEH.F \n", + "836166694 BEH.F \n", + "836761653 BEH.F \n", + "837192567 BEH.F-Box5 \n", + "837638916 BEH.F-Box5 \n", + "838496126 BEH.F-Box5 \n", + "839234289 BEH.F-Box5 \n", + "839566045 BEH.F-Box5 \n", + "839939986 BEH.F-Box5 \n", + "840594514 BEH.F-Box5 \n", + "841148118 CAM2P.3 \n", + "841707177 CAM2P.3 \n", + "842174399 CAM2P.3 \n", + "842729895 CAM2P.3 \n", + "843203333 CAM2P.3 \n", + "844164376 CAM2P.3 \n", + "844849972 CAM2P.3 \n", + "845441512 CAM2P.3 \n", + "846194950 CAM2P.3 \n", + "846929750 CAM2P.3 \n", + "848503804 CAM2P.3 \n", + "853526948 CAM2P.3 \n", + "\n", + " full_genotype \\\n", "behavior_session_id \n", - "837658854 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "838515247 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839219841 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839565422 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839912316 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "840581827 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "841426832 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "841827774 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "842385277 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "842819933 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "843400453 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "844199758 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "844908261 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "845572044 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "846331423 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "847036328 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "847874940 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "848613406 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "849147676 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "849651275 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "850989832 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "851773928 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "852451567 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "855200229 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "837658854 445002 Ai93(TITL-GCaMP6f) \n", - "838515247 445002 Ai93(TITL-GCaMP6f) \n", - "839219841 445002 Ai93(TITL-GCaMP6f) \n", - "839565422 445002 Ai93(TITL-GCaMP6f) \n", - "839912316 445002 Ai93(TITL-GCaMP6f) \n", - "840581827 445002 Ai93(TITL-GCaMP6f) \n", - "841426832 445002 Ai93(TITL-GCaMP6f) \n", - "841827774 445002 Ai93(TITL-GCaMP6f) \n", - "842385277 445002 Ai93(TITL-GCaMP6f) \n", - "842819933 445002 Ai93(TITL-GCaMP6f) \n", - "843400453 445002 Ai93(TITL-GCaMP6f) \n", - "844199758 445002 Ai93(TITL-GCaMP6f) \n", - "844908261 445002 Ai93(TITL-GCaMP6f) \n", - "845572044 445002 Ai93(TITL-GCaMP6f) \n", - "846331423 445002 Ai93(TITL-GCaMP6f) \n", - "847036328 445002 Ai93(TITL-GCaMP6f) \n", - "847874940 445002 Ai93(TITL-GCaMP6f) \n", - "848613406 445002 Ai93(TITL-GCaMP6f) \n", - "849147676 445002 Ai93(TITL-GCaMP6f) \n", - "849651275 445002 Ai93(TITL-GCaMP6f) \n", - "850989832 445002 Ai93(TITL-GCaMP6f) \n", - "851773928 445002 Ai93(TITL-GCaMP6f) \n", - "852451567 445002 Ai93(TITL-GCaMP6f) \n", - "855200229 445002 Ai93(TITL-GCaMP6f) \n", + "831129394 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "832021447 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "832544149 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "833328750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "834087859 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "834903060 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "835557296 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "836166694 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "836761653 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "837192567 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "837638916 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "838496126 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839234289 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839566045 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839939986 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "840594514 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "841148118 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "841707177 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "842174399 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "842729895 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "843203333 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "844164376 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "844849972 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "845441512 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "846194950 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "846929750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "848503804 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "853526948 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "\n", + " mouse_id reporter_line \\\n", + "behavior_session_id \n", + "831129394 440298 Ai93(TITL-GCaMP6f) \n", + "832021447 440298 Ai93(TITL-GCaMP6f) \n", + "832544149 440298 Ai93(TITL-GCaMP6f) \n", + "833328750 440298 Ai93(TITL-GCaMP6f) \n", + "834087859 440298 Ai93(TITL-GCaMP6f) \n", + "834903060 440298 Ai93(TITL-GCaMP6f) \n", + "835557296 440298 Ai93(TITL-GCaMP6f) \n", + "836166694 440298 Ai93(TITL-GCaMP6f) \n", + "836761653 440298 Ai93(TITL-GCaMP6f) \n", + "837192567 440298 Ai93(TITL-GCaMP6f) \n", + "837638916 440298 Ai93(TITL-GCaMP6f) \n", + "838496126 440298 Ai93(TITL-GCaMP6f) \n", + "839234289 440298 Ai93(TITL-GCaMP6f) \n", + "839566045 440298 Ai93(TITL-GCaMP6f) \n", + "839939986 440298 Ai93(TITL-GCaMP6f) \n", + "840594514 440298 Ai93(TITL-GCaMP6f) \n", + "841148118 440298 Ai93(TITL-GCaMP6f) \n", + "841707177 440298 Ai93(TITL-GCaMP6f) \n", + "842174399 440298 Ai93(TITL-GCaMP6f) \n", + "842729895 440298 Ai93(TITL-GCaMP6f) \n", + "843203333 440298 Ai93(TITL-GCaMP6f) \n", + "844164376 440298 Ai93(TITL-GCaMP6f) \n", + "844849972 440298 Ai93(TITL-GCaMP6f) \n", + "845441512 440298 Ai93(TITL-GCaMP6f) \n", + "846194950 440298 Ai93(TITL-GCaMP6f) \n", + "846929750 440298 Ai93(TITL-GCaMP6f) \n", + "848503804 440298 Ai93(TITL-GCaMP6f) \n", + "853526948 440298 Ai93(TITL-GCaMP6f) \n", "\n", " driver_line sex age_in_days \\\n", "behavior_session_id \n", - "837658854 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 72.0 \n", - "838515247 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 75.0 \n", - "839219841 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 76.0 \n", - "839565422 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 77.0 \n", - "839912316 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 78.0 \n", - "840581827 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 79.0 \n", - "841426832 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 82.0 \n", - "841827774 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 83.0 \n", - "842385277 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 84.0 \n", - "842819933 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 85.0 \n", - "843400453 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 86.0 \n", - "844199758 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 89.0 \n", - "844908261 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 90.0 \n", - "845572044 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 91.0 \n", - "846331423 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 92.0 \n", - "847036328 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 93.0 \n", - "847874940 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 96.0 \n", - "848613406 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 97.0 \n", - "849147676 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 98.0 \n", - "849651275 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 99.0 \n", - "850989832 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 100.0 \n", - "851773928 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 103.0 \n", - "852451567 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 104.0 \n", - "855200229 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 110.0 \n", - "\n", - " session_type cre_line \\\n", - "behavior_session_id \n", - "837658854 TRAINING_0_gratings_autorewards_15min Slc17a7-IRES2-Cre \n", - "838515247 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839219841 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839565422 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839912316 TRAINING_2_gratings_flashed Slc17a7-IRES2-Cre \n", - "840581827 TRAINING_2_gratings_flashed Slc17a7-IRES2-Cre \n", - "841426832 TRAINING_3_images_A_10uL_reward Slc17a7-IRES2-Cre \n", - "841827774 TRAINING_3_images_A_10uL_reward Slc17a7-IRES2-Cre \n", - "842385277 TRAINING_3_images_A_10uL_reward Slc17a7-IRES2-Cre \n", - "842819933 TRAINING_4_images_A_training Slc17a7-IRES2-Cre \n", - "843400453 TRAINING_5_images_A_epilogue Slc17a7-IRES2-Cre \n", - "844199758 TRAINING_5_images_A_handoff_ready Slc17a7-IRES2-Cre \n", - "844908261 TRAINING_5_images_A_handoff_ready Slc17a7-IRES2-Cre \n", - "845572044 TRAINING_5_images_A_handoff_ready Slc17a7-IRES2-Cre \n", - "846331423 OPHYS_0_images_A_habituation Slc17a7-IRES2-Cre \n", - "847036328 OPHYS_0_images_A_habituation Slc17a7-IRES2-Cre \n", - "847874940 OPHYS_0_images_A_habituation Slc17a7-IRES2-Cre \n", - "848613406 OPHYS_1_images_A Slc17a7-IRES2-Cre \n", - "849147676 OPHYS_2_images_A_passive Slc17a7-IRES2-Cre \n", - "849651275 OPHYS_3_images_A Slc17a7-IRES2-Cre \n", - "850989832 OPHYS_4_images_B Slc17a7-IRES2-Cre \n", - "851773928 OPHYS_5_images_B_passive Slc17a7-IRES2-Cre \n", - "852451567 OPHYS_6_images_B Slc17a7-IRES2-Cre \n", - "855200229 OPHYS_5_images_B_passive Slc17a7-IRES2-Cre \n", - "\n", - " indicator session_number \\\n", - "behavior_session_id \n", - "837658854 GCaMP6f NaN \n", - "838515247 GCaMP6f NaN \n", - "839219841 GCaMP6f NaN \n", - "839565422 GCaMP6f NaN \n", - "839912316 GCaMP6f NaN \n", - "840581827 GCaMP6f NaN \n", - "841426832 GCaMP6f NaN \n", - "841827774 GCaMP6f NaN \n", - "842385277 GCaMP6f NaN \n", - "842819933 GCaMP6f NaN \n", - "843400453 GCaMP6f NaN \n", - "844199758 GCaMP6f NaN \n", - "844908261 GCaMP6f NaN \n", - "845572044 GCaMP6f NaN \n", - "846331423 GCaMP6f 0.0 \n", - "847036328 GCaMP6f 0.0 \n", - "847874940 GCaMP6f 0.0 \n", - "848613406 GCaMP6f 1.0 \n", - "849147676 GCaMP6f 2.0 \n", - "849651275 GCaMP6f 3.0 \n", - "850989832 GCaMP6f 4.0 \n", - "851773928 GCaMP6f 5.0 \n", - "852451567 GCaMP6f 6.0 \n", - "855200229 GCaMP6f 5.0 \n", + "831129394 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 81.0 \n", + "832021447 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 84.0 \n", + "832544149 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 85.0 \n", + "833328750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 86.0 \n", + "834087859 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 87.0 \n", + "834903060 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 88.0 \n", + "835557296 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 91.0 \n", + "836166694 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 92.0 \n", + "836761653 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 93.0 \n", + "837192567 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 94.0 \n", + "837638916 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 95.0 \n", + "838496126 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 98.0 \n", + "839234289 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 99.0 \n", + "839566045 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 100.0 \n", + "839939986 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 101.0 \n", + "840594514 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 102.0 \n", + "841148118 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 105.0 \n", + "841707177 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 106.0 \n", + "842174399 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 107.0 \n", + "842729895 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 108.0 \n", + "843203333 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 109.0 \n", + "844164376 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 112.0 \n", + "844849972 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 113.0 \n", + "845441512 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 114.0 \n", + "846194950 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 115.0 \n", + "846929750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 116.0 \n", + "848503804 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 120.0 \n", + "853526948 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 129.0 \n", + "\n", + " cre_line indicator session_number \\\n", + "behavior_session_id \n", + "831129394 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "832021447 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "832544149 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "833328750 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "834087859 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "834903060 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "835557296 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "836166694 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "836761653 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "837192567 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "837638916 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "838496126 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "839234289 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "839566045 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "839939986 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "840594514 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "841148118 Slc17a7-IRES2-Cre GCaMP6f 0.0 \n", + "841707177 Slc17a7-IRES2-Cre GCaMP6f 0.0 \n", + "842174399 Slc17a7-IRES2-Cre GCaMP6f 0.0 \n", + "842729895 Slc17a7-IRES2-Cre GCaMP6f 1.0 \n", + "843203333 Slc17a7-IRES2-Cre GCaMP6f 2.0 \n", + "844164376 Slc17a7-IRES2-Cre GCaMP6f 3.0 \n", + "844849972 Slc17a7-IRES2-Cre GCaMP6f 3.0 \n", + "845441512 Slc17a7-IRES2-Cre GCaMP6f 4.0 \n", + "846194950 Slc17a7-IRES2-Cre GCaMP6f 5.0 \n", + "846929750 Slc17a7-IRES2-Cre GCaMP6f 6.0 \n", + "848503804 Slc17a7-IRES2-Cre GCaMP6f 5.0 \n", + "853526948 Slc17a7-IRES2-Cre GCaMP6f 3.0 \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "837658854 0 \n", - "838515247 0 \n", - "839219841 1 \n", - "839565422 2 \n", - "839912316 0 \n", - "840581827 1 \n", - "841426832 0 \n", - "841827774 1 \n", - "842385277 2 \n", - "842819933 0 \n", - "843400453 0 \n", - "844199758 0 \n", - "844908261 1 \n", - "845572044 2 \n", - "846331423 0 \n", - "847036328 1 \n", - "847874940 2 \n", - "848613406 0 \n", - "849147676 0 \n", - "849651275 0 \n", - "850989832 0 \n", - "851773928 0 \n", - "852451567 0 \n", - "855200229 1 \n", + "831129394 0.0 \n", + "832021447 0.0 \n", + "832544149 1.0 \n", + "833328750 2.0 \n", + "834087859 3.0 \n", + "834903060 0.0 \n", + "835557296 1.0 \n", + "836166694 0.0 \n", + "836761653 1.0 \n", + "837192567 2.0 \n", + "837638916 0.0 \n", + "838496126 0.0 \n", + "839234289 0.0 \n", + "839566045 1.0 \n", + "839939986 2.0 \n", + "840594514 3.0 \n", + "841148118 0.0 \n", + "841707177 1.0 \n", + "842174399 2.0 \n", + "842729895 0.0 \n", + "843203333 0.0 \n", + "844164376 0.0 \n", + "844849972 1.0 \n", + "845441512 0.0 \n", + "846194950 0.0 \n", + "846929750 0.0 \n", + "848503804 1.0 \n", + "853526948 2.0 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "837658854 NaN \n", - "838515247 NaN \n", - "839219841 NaN \n", - "839565422 NaN \n", - "839912316 NaN \n", - "840581827 NaN \n", - "841426832 0.0 \n", - "841827774 1.0 \n", - "842385277 2.0 \n", - "842819933 3.0 \n", - "843400453 4.0 \n", - "844199758 5.0 \n", - "844908261 6.0 \n", - "845572044 7.0 \n", - "846331423 8.0 \n", - "847036328 9.0 \n", - "847874940 10.0 \n", - "848613406 11.0 \n", - "849147676 12.0 \n", - "849651275 13.0 \n", - "850989832 0.0 \n", - "851773928 1.0 \n", - "852451567 2.0 \n", - "855200229 3.0 \n", + "831129394 NaN \n", + "832021447 NaN \n", + "832544149 NaN \n", + "833328750 NaN \n", + "834087859 NaN \n", + "834903060 NaN \n", + "835557296 NaN \n", + "836166694 0.0 \n", + "836761653 1.0 \n", + "837192567 2.0 \n", + "837638916 3.0 \n", + "838496126 4.0 \n", + "839234289 5.0 \n", + "839566045 6.0 \n", + "839939986 7.0 \n", + "840594514 8.0 \n", + "841148118 9.0 \n", + "841707177 10.0 \n", + "842174399 11.0 \n", + "842729895 12.0 \n", + "843203333 13.0 \n", + "844164376 14.0 \n", + "844849972 15.0 \n", + "845441512 0.0 \n", + "846194950 1.0 \n", + "846929750 2.0 \n", + "848503804 3.0 \n", + "853526948 16.0 \n", "\n", " prior_exposures_to_omissions ophys_session_id \\\n", "behavior_session_id \n", - "837658854 0 NaN \n", - "838515247 0 NaN \n", - "839219841 0 NaN \n", - "839565422 0 NaN \n", - "839912316 0 NaN \n", - "840581827 0 NaN \n", - "841426832 0 NaN \n", - "841827774 0 NaN \n", - "842385277 0 NaN \n", - "842819933 0 NaN \n", - "843400453 0 NaN \n", - "844199758 0 NaN \n", - "844908261 0 NaN \n", - "845572044 0 NaN \n", - "846331423 0 NaN \n", - "847036328 0 NaN \n", - "847874940 0 NaN \n", - "848613406 0 848264483.0 \n", - "849147676 1 848894137.0 \n", - "849651275 2 849597937.0 \n", - "850989832 3 850959102.0 \n", - "851773928 4 NaN \n", - "852451567 5 852326785.0 \n", - "855200229 6 855083235.0 \n", + "831129394 0.0 NaN \n", + "832021447 0.0 NaN \n", + "832544149 0.0 NaN \n", + "833328750 0.0 NaN \n", + "834087859 0.0 NaN \n", + "834903060 0.0 NaN \n", + "835557296 0.0 NaN \n", + "836166694 0.0 NaN \n", + "836761653 0.0 NaN \n", + "837192567 0.0 NaN \n", + "837638916 0.0 NaN \n", + "838496126 0.0 NaN \n", + "839234289 0.0 NaN \n", + "839566045 0.0 NaN \n", + "839939986 0.0 NaN \n", + "840594514 0.0 NaN \n", + "841148118 0.0 NaN \n", + "841707177 0.0 NaN \n", + "842174399 0.0 NaN \n", + "842729895 0.0 842583486.0 \n", + "843203333 1.0 843049997.0 \n", + "844164376 2.0 NaN \n", + "844849972 3.0 NaN \n", + "845441512 4.0 845219209.0 \n", + "846194950 5.0 NaN \n", + "846929750 6.0 846599329.0 \n", + "848503804 7.0 848264175.0 \n", + "853526948 8.0 NaN \n", "\n", " ophys_experiment_id ophys_container_id project_code \\\n", "behavior_session_id \n", - "837658854 NaN NaN NaN \n", - "838515247 NaN NaN NaN \n", - "839219841 NaN NaN NaN \n", - "839565422 NaN NaN NaN \n", - "839912316 NaN NaN NaN \n", - "840581827 NaN NaN NaN \n", - "841426832 NaN NaN NaN \n", - "841827774 NaN NaN NaN \n", - "842385277 NaN NaN NaN \n", - "842819933 NaN NaN NaN \n", - "843400453 NaN NaN NaN \n", - "844199758 NaN NaN NaN \n", - "844908261 NaN NaN NaN \n", - "845572044 NaN NaN NaN \n", - "846331423 NaN NaN NaN \n", - "847036328 NaN NaN NaN \n", - "847874940 NaN NaN NaN \n", - "848613406 [848697625] [846215539] VisualBehavior \n", - "849147676 [849203565] [846215539] VisualBehavior \n", - "849651275 [850479305] [846215539] VisualBehavior \n", - "850989832 [851060467] [846215539] VisualBehavior \n", - "851773928 NaN NaN NaN \n", - "852451567 [852691524] [846215539] VisualBehavior \n", - "855200229 [855582961] [846215539] VisualBehavior \n", - "\n", - " date_of_acquisition file_id \n", - "behavior_session_id \n", - "837658854 2019-03-15 14:49:24.015 1.085362e+09 \n", - "838515247 2019-03-18 13:44:01.474 1.085362e+09 \n", - "839219841 2019-03-19 12:50:12.068 1.085362e+09 \n", - "839565422 2019-03-20 13:16:44.461 1.085362e+09 \n", - "839912316 2019-03-21 12:54:25.388 1.081589e+09 \n", - "840581827 2019-03-22 12:56:37.162 1.081589e+09 \n", - "841426832 2019-03-25 13:33:53.275 1.081589e+09 \n", - "841827774 2019-03-26 12:43:01.470 1.081590e+09 \n", - "842385277 2019-03-27 12:13:04.923 1.081591e+09 \n", - "842819933 2019-03-28 12:11:36.413 1.081591e+09 \n", - "843400453 2019-03-29 13:03:16.029 1.081592e+09 \n", - "844199758 2019-04-01 11:59:06.026 1.081591e+09 \n", - "844908261 2019-04-02 12:34:16.170 1.081592e+09 \n", - "845572044 2019-04-03 12:16:13.522 1.081592e+09 \n", - "846331423 2019-04-04 13:13:13.399 1.085362e+09 \n", - "847036328 2019-04-05 12:47:32.422 1.085362e+09 \n", - "847874940 2019-04-08 13:27:21.095 1.085362e+09 \n", - "848613406 2019-04-09 13:26:26.372 NaN \n", - "849147676 2019-04-10 13:34:39.264 NaN \n", - "849651275 2019-04-11 12:31:50.074 NaN \n", - "850989832 2019-04-12 13:30:27.946 NaN \n", - "851773928 2019-04-15 12:20:00.123 1.081596e+09 \n", - "852451567 2019-04-16 12:24:46.804 NaN \n", - "855200229 2019-04-22 09:01:33.022 NaN " + "831129394 NaN NaN NaN \n", + "832021447 NaN NaN NaN \n", + "832544149 NaN NaN NaN \n", + "833328750 NaN NaN NaN \n", + "834087859 NaN NaN NaN \n", + "834903060 NaN NaN NaN \n", + "835557296 NaN NaN NaN \n", + "836166694 NaN NaN NaN \n", + "836761653 NaN NaN NaN \n", + "837192567 NaN NaN NaN \n", + "837638916 NaN NaN NaN \n", + "838496126 NaN NaN NaN \n", + "839234289 NaN NaN NaN \n", + "839566045 NaN NaN NaN \n", + "839939986 NaN NaN NaN \n", + "840594514 NaN NaN NaN \n", + "841148118 NaN NaN NaN \n", + "841707177 NaN NaN NaN \n", + "842174399 NaN NaN NaN \n", + "842729895 [842973730] [843049827] VisualBehavior \n", + "843203333 [843519218] [843049827] VisualBehavior \n", + "844164376 NaN NaN NaN \n", + "844849972 NaN NaN NaN \n", + "845441512 [848694639] [843049827] VisualBehavior \n", + "846194950 NaN NaN NaN \n", + "846929750 [847125577] [843049827] VisualBehavior \n", + "848503804 [848698709] [843049827] VisualBehavior \n", + "853526948 NaN NaN NaN \n", + "\n", + " date_of_acquisition \\\n", + "behavior_session_id \n", + "831129394 2019-03-01 13:25:23.766 \n", + "832021447 2019-03-04 14:21:34.570 \n", + "832544149 2019-03-05 13:52:38.642 \n", + "833328750 2019-03-06 14:27:39.035 \n", + "834087859 2019-03-07 14:01:17.016 \n", + "834903060 2019-03-08 14:38:02.472 \n", + "835557296 2019-03-11 12:33:20.147 \n", + "836166694 2019-03-12 14:54:22.690 \n", + "836761653 2019-03-13 12:53:27.462 \n", + "837192567 2019-03-14 12:49:43.211 \n", + "837638916 2019-03-15 13:29:50.376 \n", + "838496126 2019-03-18 13:05:17.767 \n", + "839234289 2019-03-19 13:15:41.106 \n", + "839566045 2019-03-20 13:07:21.399 \n", + "839939986 2019-03-21 13:10:44.301 \n", + "840594514 2019-03-22 13:23:58.465 \n", + "841148118 2019-03-25 08:22:19.380 \n", + "841707177 2019-03-26 08:21:46.265 \n", + "842174399 2019-03-27 09:00:04.195 \n", + "842729895 2019-03-28 09:17:59.122 \n", + "843203333 2019-03-29 08:58:48.934 \n", + "844164376 2019-04-01 10:52:03.251 \n", + "844849972 2019-04-02 11:36:52.447 \n", + "845441512 2019-04-03 10:15:51.376 \n", + "846194950 2019-04-04 11:13:54.409 \n", + "846929750 2019-04-05 11:07:22.302 \n", + "848503804 2019-04-09 11:30:55.092 \n", + "853526948 2019-04-18 09:36:48.583 \n", + "\n", + " session_type file_id \n", + "behavior_session_id \n", + "831129394 TRAINING_0_gratings_autorewards_15min 1.085362e+09 \n", + "832021447 TRAINING_1_gratings 1.085362e+09 \n", + "832544149 TRAINING_1_gratings 1.085362e+09 \n", + "833328750 TRAINING_1_gratings 1.085362e+09 \n", + "834087859 TRAINING_1_gratings 1.085362e+09 \n", + "834903060 TRAINING_2_gratings_flashed 1.081585e+09 \n", + "835557296 TRAINING_2_gratings_flashed 1.081586e+09 \n", + "836166694 TRAINING_3_images_A_10uL_reward 1.081586e+09 \n", + "836761653 TRAINING_3_images_A_10uL_reward 1.081587e+09 \n", + "837192567 TRAINING_3_images_A_10uL_reward 1.081587e+09 \n", + "837638916 TRAINING_4_images_A_training 1.081587e+09 \n", + "838496126 TRAINING_5_images_A_epilogue 1.081588e+09 \n", + "839234289 TRAINING_5_images_A_handoff_ready 1.081588e+09 \n", + "839566045 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", + "839939986 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", + "840594514 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", + "841148118 OPHYS_0_images_A_habituation 1.085362e+09 \n", + "841707177 OPHYS_0_images_A_habituation 1.085362e+09 \n", + "842174399 OPHYS_0_images_A_habituation 1.085362e+09 \n", + "842729895 OPHYS_1_images_A NaN \n", + "843203333 OPHYS_2_images_A_passive NaN \n", + "844164376 OPHYS_3_images_A 1.081592e+09 \n", + "844849972 OPHYS_3_images_A 1.081592e+09 \n", + "845441512 OPHYS_4_images_B NaN \n", + "846194950 OPHYS_5_images_B_passive 1.081593e+09 \n", + "846929750 OPHYS_6_images_B NaN \n", + "848503804 OPHYS_5_images_B_passive NaN \n", + "853526948 OPHYS_3_images_A 1.081598e+09 " ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1672,37 +1809,103 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "behavior_session_837658854.nwb: 100%|██████████| 51.7M/51.7M [00:04<00:00, 11.3MMB/s] \n", - "behavior_session_838515247.nwb: 100%|██████████| 66.9M/66.9M [00:05<00:00, 12.1MMB/s] \n", - "behavior_session_839219841.nwb: 100%|██████████| 66.7M/66.7M [00:06<00:00, 10.1MMB/s] \n", - 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"/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_835557296.nwb: 100%|██████████| 68.0M/68.0M [00:10<00:00, 6.38MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_836166694.nwb: 100%|██████████| 188M/188M [00:23<00:00, 7.95MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because 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version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_846194950.nwb: 100%|██████████| 193M/193M [00:17<00:00, 10.7MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_847125577.nwb: 100%|██████████| 924M/924M [02:11<00:00, 7.03MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_848698709.nwb: 100%|██████████| 1.33G/1.33G [02:30<00:00, 8.81MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_853526948.nwb: 100%|██████████| 193M/193M [01:37<00:00, 1.98MMB/s] \n", + "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" ] } ], @@ -1723,7 +1926,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": { "scrolled": true }, @@ -1732,6 +1935,8 @@ "data": { "text/plain": [ "['behavior_session_id',\n", + " 'eye_tracking',\n", + " 'eye_tracking_rig_geometry',\n", " 'get_performance_metrics',\n", " 'get_reward_rate',\n", " 'get_rolling_performance_df',\n", @@ -1747,7 +1952,7 @@ " 'trials']" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1766,7 +1971,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -1822,7 +2027,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -1842,7 +2047,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1868,15 +2073,14 @@ " \n", " duration\n", " end_frame\n", + " flashes_since_change\n", " image_index\n", " image_name\n", - " image_set\n", - " index\n", + " is_change\n", " omitted\n", " start_frame\n", " start_time\n", - " stop_time\n", - " is_change\n", + " end_time\n", " \n", " \n", " stimulus_presentations_id\n", @@ -1890,119 +2094,105 @@ " \n", " \n", " \n", - " \n", " \n", " \n", " \n", " \n", " 0\n", - " 0.250208\n", + " 0.250124\n", " 18000.0\n", + " 0.0\n", " 0\n", " im065\n", - " Natural_Images_Lum_Matched_set_training_2017.0...\n", - " 0\n", " False\n", - " 17985.0\n", - " 300.001180\n", - " 300.251388\n", " False\n", + " 17985.0\n", + " 299.950758\n", + " 300.200882\n", " \n", " \n", " 1\n", - " 0.250228\n", + " 0.250210\n", " 18045.0\n", + " 1.0\n", " 0\n", " im065\n", - " Natural_Images_Lum_Matched_set_training_2017.0...\n", - " 1\n", " False\n", - " 18030.0\n", - " 300.751814\n", - " 301.002042\n", " False\n", + " 18030.0\n", + " 300.701224\n", + " 300.951433\n", " \n", " \n", " 2\n", - " 0.250259\n", + " 0.250219\n", " 18090.0\n", + " 2.0\n", " 0\n", " im065\n", - " Natural_Images_Lum_Matched_set_training_2017.0...\n", - " 2\n", " False\n", - " 18075.0\n", - " 301.502388\n", - " 301.752647\n", " False\n", + " 18075.0\n", + " 301.451832\n", + " 301.702052\n", " \n", " \n", " 3\n", - " 0.250277\n", - " 18136.0\n", + " 0.250164\n", + " 18135.0\n", + " 3.0\n", " 0\n", " im065\n", - " Natural_Images_Lum_Matched_set_training_2017.0...\n", - " 3\n", " False\n", - " 18121.0\n", - " 302.269753\n", - " 302.520030\n", " False\n", + " 18120.0\n", + " 302.202335\n", + " 302.452499\n", " \n", " \n", " 4\n", " 0.250199\n", - " 18181.0\n", + " 18180.0\n", + " 4.0\n", " 0\n", " im065\n", - " Natural_Images_Lum_Matched_set_training_2017.0...\n", - " 4\n", " False\n", - " 18166.0\n", - " 303.020392\n", - " 303.270591\n", " False\n", + " 18165.0\n", + " 302.952841\n", + " 303.203040\n", " \n", " \n", "\n", "" ], "text/plain": [ - " duration end_frame image_index image_name \\\n", - "stimulus_presentations_id \n", - "0 0.250208 18000.0 0 im065 \n", - "1 0.250228 18045.0 0 im065 \n", - "2 0.250259 18090.0 0 im065 \n", - "3 0.250277 18136.0 0 im065 \n", - "4 0.250199 18181.0 0 im065 \n", - "\n", - " image_set \\\n", - "stimulus_presentations_id \n", - "0 Natural_Images_Lum_Matched_set_training_2017.0... \n", - "1 Natural_Images_Lum_Matched_set_training_2017.0... \n", - "2 Natural_Images_Lum_Matched_set_training_2017.0... \n", - "3 Natural_Images_Lum_Matched_set_training_2017.0... \n", - "4 Natural_Images_Lum_Matched_set_training_2017.0... \n", - "\n", - " index omitted start_frame start_time \\\n", - "stimulus_presentations_id \n", - "0 0 False 17985.0 300.001180 \n", - "1 1 False 18030.0 300.751814 \n", - "2 2 False 18075.0 301.502388 \n", - "3 3 False 18121.0 302.269753 \n", - "4 4 False 18166.0 303.020392 \n", - "\n", - " stop_time is_change \n", - "stimulus_presentations_id \n", - "0 300.251388 False \n", - "1 301.002042 False \n", - "2 301.752647 False \n", - "3 302.520030 False \n", - "4 303.270591 False " + " duration end_frame flashes_since_change \\\n", + "stimulus_presentations_id \n", + "0 0.250124 18000.0 0.0 \n", + "1 0.250210 18045.0 1.0 \n", + "2 0.250219 18090.0 2.0 \n", + "3 0.250164 18135.0 3.0 \n", + "4 0.250199 18180.0 4.0 \n", + "\n", + " image_index image_name is_change omitted \\\n", + "stimulus_presentations_id \n", + "0 0 im065 False False \n", + "1 0 im065 False False \n", + "2 0 im065 False False \n", + "3 0 im065 False False \n", + "4 0 im065 False False \n", + "\n", + " start_frame start_time end_time \n", + "stimulus_presentations_id \n", + "0 17985.0 299.950758 300.200882 \n", + "1 18030.0 300.701224 300.951433 \n", + "2 18075.0 301.451832 301.702052 \n", + "3 18120.0 302.202335 302.452499 \n", + "4 18165.0 302.952841 303.203040 " ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -2021,7 +2211,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -2051,44 +2241,44 @@ " \n", " \n", " \n", - " 1240\n", - " 1570.283190\n", - " 94138\n", + " 871\n", + " 1173.788210\n", + " 70380\n", " \n", " \n", - " 470\n", - " 722.889309\n", - " 43337\n", + " 2205\n", + " 2580.700469\n", + " 154738\n", " \n", " \n", - " 503\n", - " 780.270804\n", - " 46777\n", + " 691\n", + " 952.589523\n", + " 57117\n", " \n", " \n", - " 1252\n", - " 1580.992166\n", - " 94780\n", + " 2525\n", + " 2806.819128\n", + " 168296\n", " \n", " \n", - " 1257\n", - " 1581.726111\n", - " 94824\n", + " 3367\n", + " 4449.856814\n", + " 266812\n", " \n", " \n", "\n", "" ], "text/plain": [ - " timestamps frame\n", - "1240 1570.283190 94138\n", - "470 722.889309 43337\n", - "503 780.270804 46777\n", - "1252 1580.992166 94780\n", - "1257 1581.726111 94824" + " timestamps frame\n", + "871 1173.788210 70380\n", + "2205 2580.700469 154738\n", + "691 952.589523 57117\n", + "2525 2806.819128 168296\n", + "3367 4449.856814 266812" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -2291,13 +2481,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "unique_stimuli = [stimulus for stimulus in dataset.stimulus_presentations['image_name'].unique()]\n", "colormap = {image_name: sns.color_palette()[image_number] for image_number, image_name in enumerate(np.sort(unique_stimuli))}\n", - "dataset.stimulus_presentations['color'] = dataset.stimulus_presentations['image_name'].map(lambda image_name: colormap[image_name])" + "dataset._stimuli._presentations.value['color'] = dataset.stimulus_presentations['image_name'].map(lambda image_name: colormap[image_name])" ] }, { @@ -2309,7 +2499,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -2385,7 +2575,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 38, "metadata": { "scrolled": false }, @@ -2552,9 +2742,6 @@ " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - " if (this.ratio !== 1) {\n", - " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", - " }\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", @@ -2564,7 +2751,1012 @@ " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", - " var resizeObserver = new ResizeObserver(function (entries) {\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " img.type = 'image/png';\n", + " }\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " img\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.key === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.key;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", + " value += 'ctrl+';\n", + " }\n", + " else if (event.altKey && event.key !== 'Alt') {\n", + " value += 'alt+';\n", + " }\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k' + event.key;\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(data);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", @@ -2612,12 +3804,12 @@ " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", - " if (width != 0 && height != 0) {\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", - " resizeObserver.observe(canvas_div);\n", + " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", @@ -2633,6 +3825,10 @@ " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", + " rubberband_canvas.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", @@ -2890,11 +4086,14 @@ "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = 'image/png';\n", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " img.type = 'image/png';\n", + " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", @@ -2904,7 +4103,7 @@ " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data\n", + " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", @@ -3023,10 +4222,10 @@ "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", - " if (event.which === this._key) {\n", + " if (event.key === this._key) {\n", " return;\n", " } else {\n", - " this._key = event.which;\n", + " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", @@ -3034,18 +4233,17 @@ " }\n", "\n", " var value = '';\n", - " if (event.ctrlKey && event.which !== 17) {\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", - " if (event.altKey && event.which !== 18) {\n", + " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", - " if (event.shiftKey && event.which !== 16) {\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", - " value += 'k';\n", - " value += event.which.toString();\n", + " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", @@ -3064,9 +4262,13 @@ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", @@ -3076,6 +4278,19 @@ " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", + " ws.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\n", + "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", @@ -3086,8 +4301,14 @@ " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data']);\n", + " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", @@ -3118,7 +4339,7 @@ " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", - " fig.cell_info[0].output_area.element.one(\n", + " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", @@ -3131,6 +4352,7 @@ " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", @@ -3251,6 +4473,10 @@ "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", @@ -3335,7 +4561,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -3348,6 +4574,8 @@ "source": [ "initial_time = 775 # initial time for plot, in seconds\n", "final_time = 800 # final time for plot, in seconds\n", + "\n", + "plt.clf()\n", "fig, ax = plt.subplots(figsize = (15,5))\n", "plot_running(ax, initial_time, final_time)\n", "plot_licks(ax, initial_time, final_time)\n", @@ -3379,7 +4607,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -3411,7 +4639,7 @@ " hit\n", " false_alarm\n", " miss\n", - " stimulus_change\n", + " is_change\n", " aborted\n", " go\n", " catch\n", @@ -3452,60 +4680,60 @@ " \n", " \n", " \n", - " 133\n", - " 1145.777254\n", - " 1148.362823\n", - " [1147.8956996658817, 1148.0458577824757]\n", - " NaN\n", - " 0.0\n", - " False\n", - " False\n", + " 534\n", + " 2713.389660\n", + " 2724.430433\n", + " [2720.7613205829402, 2721.061486430117, 2721.1...\n", + " 2720.761321\n", + " 0.007\n", + " True\n", " False\n", " False\n", " True\n", " False\n", + " True\n", " False\n", " False\n", " False\n", - " 2.585569\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " im065\n", - " im065\n", + " 11.040773\n", + " 2720.761321\n", + " 163100.0\n", + " 2720.182019\n", + " 0.579301\n", + " im066\n", + " im085\n", " \n", " \n", - " 62\n", - " 650.712128\n", - " 658.018251\n", - " []\n", + " 154\n", + " 962.496140\n", + " 970.534928\n", + " [967.299401847762]\n", " NaN\n", - " 0.0\n", + " 0.000\n", " False\n", " False\n", - " True\n", - " True\n", " False\n", - " True\n", " False\n", " False\n", " False\n", - " 7.306123\n", - " NaN\n", - " 39191.0\n", - " 653.752495\n", - " inf\n", - " im063\n", - " im061\n", + " True\n", + " False\n", + " True\n", + " 8.038788\n", + " 967.299402\n", + " 57937.0\n", + " 966.286483\n", + " 1.012919\n", + " im077\n", + " im077\n", " \n", " \n", - " 239\n", - " 1768.766277\n", - " 1771.885580\n", - " [1771.5686300797388]\n", + " 341\n", + " 1913.485372\n", + " 1918.088494\n", + " [1917.6214574656915, 1917.7715836032294]\n", " NaN\n", - " 0.0\n", + " 0.000\n", " False\n", " False\n", " False\n", @@ -3515,109 +4743,117 @@ " False\n", " False\n", " False\n", - " 3.119302\n", + " 4.603122\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " im066\n", - " im066\n", + " im077\n", + " im077\n", " \n", " \n", - " 497\n", - " 3736.683052\n", - " 3743.972490\n", - " []\n", + " 225\n", + " 1318.435434\n", + " 1322.588245\n", + " [1321.821011143853, 1322.0878457906656, 1322.2...\n", " NaN\n", - " 0.0\n", + " 0.000\n", + " False\n", " False\n", " False\n", - " True\n", - " True\n", " False\n", " True\n", " False\n", " False\n", " False\n", - " 7.289437\n", + " False\n", + " 4.152811\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", - " 224193.0\n", - " 3739.723400\n", - " inf\n", - " im061\n", - " im063\n", + " im062\n", + " im062\n", " \n", " \n", - " 463\n", - " 3443.887593\n", - " 3451.193661\n", - " []\n", + " 432\n", + " 2370.058931\n", + " 2373.144351\n", + " [2372.677347698016, 2372.827426743461]\n", " NaN\n", - " 0.0\n", + " 0.000\n", + " False\n", " False\n", " False\n", - " True\n", - " True\n", " False\n", " True\n", " False\n", " False\n", " False\n", - " 7.306068\n", + " False\n", + " 3.085420\n", " NaN\n", - " 206640.0\n", - " 3446.927890\n", - " inf\n", - " im062\n", - " im065\n", + " NaN\n", + " NaN\n", + " NaN\n", + " im085\n", + " im085\n", " \n", " \n", "\n", "" ], "text/plain": [ - " start_time stop_time lick_times \\\n", - "trials_id \n", - "133 1145.777254 1148.362823 [1147.8956996658817, 1148.0458577824757] \n", - "62 650.712128 658.018251 [] \n", - "239 1768.766277 1771.885580 [1771.5686300797388] \n", - "497 3736.683052 3743.972490 [] \n", - "463 3443.887593 3451.193661 [] \n", - "\n", - " reward_time reward_volume hit false_alarm miss \\\n", - "trials_id \n", - "133 NaN 0.0 False False False \n", - "62 NaN 0.0 False False True \n", - "239 NaN 0.0 False False False \n", - "497 NaN 0.0 False False True \n", - "463 NaN 0.0 False False True \n", - "\n", - " stimulus_change aborted go catch auto_rewarded \\\n", - "trials_id \n", - "133 False True False False False \n", - "62 True False True False False \n", - "239 False True False False False \n", - "497 True False True False False \n", - "463 True False True False False \n", - "\n", - " correct_reject trial_length response_time change_frame \\\n", + " start_time stop_time \\\n", + "trials_id \n", + "534 2713.389660 2724.430433 \n", + "154 962.496140 970.534928 \n", + "341 1913.485372 1918.088494 \n", + "225 1318.435434 1322.588245 \n", + "432 2370.058931 2373.144351 \n", + "\n", + " lick_times reward_time \\\n", + "trials_id \n", + "534 [2720.7613205829402, 2721.061486430117, 2721.1... 2720.761321 \n", + "154 [967.299401847762] NaN \n", + "341 [1917.6214574656915, 1917.7715836032294] NaN \n", + "225 [1321.821011143853, 1322.0878457906656, 1322.2... NaN \n", + "432 [2372.677347698016, 2372.827426743461] NaN \n", + "\n", + " reward_volume hit false_alarm miss is_change aborted \\\n", + "trials_id \n", + "534 0.007 True False False True False \n", + "154 0.000 False False False False False \n", + "341 0.000 False False False False True \n", + "225 0.000 False False False False True \n", + "432 0.000 False False False False True \n", + "\n", + " go catch auto_rewarded correct_reject trial_length \\\n", "trials_id \n", - "133 False 2.585569 NaN NaN \n", - "62 False 7.306123 NaN 39191.0 \n", - "239 False 3.119302 NaN NaN \n", - "497 False 7.289437 NaN 224193.0 \n", - "463 False 7.306068 NaN 206640.0 \n", - "\n", - " change_time response_latency initial_image_name change_image_name \n", - "trials_id \n", - "133 NaN NaN im065 im065 \n", - "62 653.752495 inf im063 im061 \n", - "239 NaN NaN im066 im066 \n", - "497 3739.723400 inf im061 im063 \n", - "463 3446.927890 inf im062 im065 " + "534 True False False False 11.040773 \n", + "154 False True False True 8.038788 \n", + "341 False False False False 4.603122 \n", + "225 False False False False 4.152811 \n", + "432 False False False False 3.085420 \n", + "\n", + " response_time change_frame change_time response_latency \\\n", + "trials_id \n", + "534 2720.761321 163100.0 2720.182019 0.579301 \n", + "154 967.299402 57937.0 966.286483 1.012919 \n", + "341 NaN NaN NaN NaN \n", + "225 NaN NaN NaN NaN \n", + "432 NaN NaN NaN NaN \n", + "\n", + " initial_image_name change_image_name \n", + "trials_id \n", + "534 im066 im085 \n", + "154 im077 im077 \n", + "341 im077 im077 \n", + "225 im062 im062 \n", + "432 im085 im085 " ] }, - "execution_count": 20, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -3641,39 +4877,38 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[{'start_time': 831.2635398912244,\n", - " 'stop_time': 838.5529783256352,\n", - " 'lick_times': array([834.69975263, 834.81651755, 835.1001309 , 835.25021287,\n", - " 835.40033855, 835.53378616, 835.68391515, 835.83403254,\n", - " 836.01752922, 836.16765357, 836.33444306, 836.51795332,\n", - " 836.6513857 ]),\n", - " 'reward_time': 834.6997526283376,\n", + "[{'start_time': 1712.116697982885,\n", + " 'stop_time': 1720.1720967957517,\n", + " 'lick_times': array([1716.53632556, 1716.61971894, 1716.86988826, 1716.98660287,\n", + " 1717.10337204, 1717.23680377, 1717.37018203, 1717.47025015,\n", + " 1717.6036877 , 1717.73710363, 1718.02067646, 1718.17075606]),\n", + " 'reward_time': 1716.5363255622797,\n", " 'reward_volume': 0.007,\n", " 'hit': True,\n", " 'false_alarm': False,\n", " 'miss': False,\n", - " 'stimulus_change': True,\n", + " 'is_change': True,\n", " 'aborted': False,\n", " 'go': True,\n", " 'catch': False,\n", " 'auto_rewarded': False,\n", " 'correct_reject': False,\n", - " 'trial_length': 7.28943843441084,\n", - " 'response_time': 834.6997526283376,\n", - " 'change_frame': 50014.0,\n", - " 'change_time': 834.287206646593,\n", - " 'response_latency': 0.41254598174464263,\n", - " 'initial_image_name': 'im063',\n", - " 'change_image_name': 'im069'}]" + " 'trial_length': 8.05539881286677,\n", + " 'response_time': 1716.5363255622797,\n", + " 'change_frame': 102884.0,\n", + " 'change_time': 1715.9070473431634,\n", + " 'response_latency': 0.6292782191162587,\n", + " 'initial_image_name': 'im061',\n", + " 'change_image_name': 'im077'}]" ] }, - "execution_count": 21, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -3691,38 +4926,38 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'trial_count': 516,\n", - " 'go_trial_count': 285,\n", - " 'catch_trial_count': 41,\n", - " 'hit_trial_count': 112,\n", - " 'miss_trial_count': 173,\n", - " 'false_alarm_trial_count': 4,\n", - " 'correct_reject_trial_count': 37,\n", + "{'trial_count': 731,\n", + " 'go_trial_count': 182,\n", + " 'catch_trial_count': 23,\n", + " 'hit_trial_count': 140,\n", + " 'miss_trial_count': 42,\n", + " 'false_alarm_trial_count': 9,\n", + " 'correct_reject_trial_count': 14,\n", " 'auto_reward_count': 5,\n", - " 'earned_reward_count': 112,\n", - " 'total_reward_count': 117,\n", - " 'total_reward_volume': 0.8090000000000003,\n", - " 'maximum_reward_rate': 4.538096320942588,\n", - " 'engaged_trial_count': 286,\n", - " 'mean_hit_rate': 0.5083809219533421,\n", - " 'mean_hit_rate_uncorrected': 0.5117040303378002,\n", - " 'mean_hit_rate_engaged': 0.8257788159919642,\n", - " 'mean_false_alarm_rate': 0.149303880370626,\n", - " 'mean_false_alarm_rate_uncorrected': 0.14679636896218598,\n", - " 'mean_false_alarm_rate_engaged': 0.26905802530802525,\n", - " 'mean_dprime': 1.1510474492903153,\n", - " 'mean_dprime_engaged': 1.6017817039091797,\n", - " 'max_dprime': 2.1577849816633154,\n", - " 'max_dprime_engaged': 2.1577849816633154}" + " 'earned_reward_count': 140,\n", + " 'total_reward_count': 145,\n", + " 'total_reward_volume': 1.005,\n", + " 'maximum_reward_rate': 4.075808888375142,\n", + " 'engaged_trial_count': 592,\n", + " 'mean_hit_rate': 0.8502914507732704,\n", + " 'mean_hit_rate_uncorrected': 0.8566154925851169,\n", + " 'mean_hit_rate_engaged': 0.8501338035208221,\n", + " 'mean_false_alarm_rate': 0.4443704962837621,\n", + " 'mean_false_alarm_rate_uncorrected': 0.4367174350592722,\n", + " 'mean_false_alarm_rate_engaged': 0.44609689480379144,\n", + " 'mean_dprime': 1.1971098252194952,\n", + " 'mean_dprime_engaged': 1.193310233405481,\n", + " 'max_dprime': 1.7904646832340632,\n", + " 'max_dprime_engaged': 1.5810766796714655}" ] }, - "execution_count": 22, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -3741,7 +4976,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -3752,7 +4987,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -3803,20 +5038,20 @@ " \n", " \n", " \n", - " 837658854\n", - " 118\n", + " 831129394\n", + " 122\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 118\n", + " 122\n", " 0\n", - " 118\n", - " 0.590\n", - " 4.852157\n", - " 101\n", + " 122\n", + " 0.610\n", + " 7.940230\n", + " 112\n", " NaN\n", " NaN\n", " NaN\n", @@ -3829,108 +5064,108 @@ " NaN\n", " \n", " \n", - " 838515247\n", - " 1405\n", - " 133\n", - " 13\n", - " 106\n", - " 27\n", - " 6\n", + " 832021447\n", + " 1609\n", + " 101\n", + " 17\n", + " 67\n", + " 34\n", + " 10\n", " 7\n", - " 5\n", - " 106\n", - " 111\n", - " 1.085\n", - " 5.294545\n", - " 346\n", - " 0.808946\n", - " 0.819726\n", - " 0.822212\n", - " 0.574381\n", - " 0.624039\n", - " 0.421906\n", - " 0.662053\n", - " 1.145407\n", - " 1.832280\n", - " 1.832280\n", + " 6\n", + " 67\n", + " 73\n", + " 0.700\n", + " 3.003025\n", + " 172\n", + " 0.438318\n", + " 0.427423\n", + " 0.433100\n", + " 0.421818\n", + " 0.397976\n", + " 0.435379\n", + " 0.121475\n", + " -0.006137\n", + " 0.792775\n", + " 0.131320\n", " \n", " \n", - " 839219841\n", - " 451\n", - " 335\n", - " 61\n", - " 48\n", - " 287\n", + " 832544149\n", + " 1581\n", + " 76\n", + " 13\n", + " 75\n", " 1\n", - " 60\n", - " 29\n", - " 48\n", - " 77\n", - " 0.625\n", - " 5.015095\n", - " 49\n", - " 0.231115\n", - " 0.233778\n", - " 0.809956\n", - " 0.059502\n", - " 0.025165\n", - " 0.176463\n", - " 0.452645\n", - " 1.875796\n", - " 2.288211\n", - " 2.288211\n", - " \n", - " \n", - " 839565422\n", - " 683\n", - " 269\n", - " 41\n", - " 107\n", - " 162\n", + " 9\n", " 4\n", - " 37\n", - " 15\n", - " 107\n", - " 122\n", - " 1.145\n", - " 5.393113\n", - " 403\n", - " 0.523621\n", - " 0.529213\n", - " 0.877314\n", - " 0.192331\n", - " 0.169870\n", - " 0.377171\n", - " 1.208391\n", - " 1.599180\n", - " 2.201408\n", - " 2.201408\n", + " 5\n", + " 75\n", + " 80\n", + " 0.775\n", + " 4.100249\n", + " 388\n", + " 0.957304\n", + " 0.974269\n", + " 0.974991\n", + " 0.787584\n", + " 0.881553\n", + " 0.805444\n", + " 1.093624\n", + " 1.089942\n", + " 1.857055\n", + " 1.857055\n", " \n", " \n", - " 839912316\n", - " 966\n", - " 174\n", - " 20\n", - " 103\n", - " 71\n", - " 6\n", + " 833328750\n", + " 1158\n", + " 189\n", + " 21\n", + " 140\n", + " 49\n", + " 7\n", " 14\n", - " 10\n", - " 103\n", - " 113\n", - " 1.080\n", - " 3.833645\n", - " 583\n", - " 0.778670\n", - " 0.785813\n", - " 0.919466\n", - " 0.439618\n", - " 0.511879\n", - " 0.586558\n", - " 1.164035\n", - " 1.240594\n", - " 1.679661\n", - " 1.644854\n", + " 7\n", + " 140\n", + " 147\n", + " 1.435\n", + " 4.914088\n", + " 664\n", + " 0.870796\n", + " 0.881694\n", + " 0.935623\n", + " 0.502420\n", + " 0.482349\n", + " 0.633119\n", + " 1.485135\n", + " 1.364075\n", + " 2.217040\n", + " 2.104946\n", + " \n", + " \n", + " 834087859\n", + " 565\n", + " 294\n", + " 53\n", + " 124\n", + " 170\n", + " 7\n", + " 46\n", + " 17\n", + " 124\n", + " 141\n", + " 1.325\n", + " 5.402127\n", + " 322\n", + " 0.531782\n", + " 0.539226\n", + " 0.832751\n", + " 0.197336\n", + " 0.165555\n", + " 0.301101\n", + " 1.129222\n", + " 1.766182\n", + " 2.850748\n", + " 2.850748\n", " \n", " \n", "\n", @@ -3938,70 +5173,63 @@ ], "text/plain": [ " trial_count go_trial_count catch_trial_count hit_trial_count \\\n", - "837658854 118 0 0 0 \n", - "838515247 1405 133 13 106 \n", - "839219841 451 335 61 48 \n", - "839565422 683 269 41 107 \n", - "839912316 966 174 20 103 \n", + "831129394 122 0 0 0 \n", + "832021447 1609 101 17 67 \n", + "832544149 1581 76 13 75 \n", + "833328750 1158 189 21 140 \n", + "834087859 565 294 53 124 \n", "\n", " miss_trial_count false_alarm_trial_count \\\n", - "837658854 0 0 \n", - "838515247 27 6 \n", - "839219841 287 1 \n", - "839565422 162 4 \n", - "839912316 71 6 \n", - "\n", - " correct_reject_trial_count auto_reward_count \\\n", - "837658854 0 118 \n", - "838515247 7 5 \n", - "839219841 60 29 \n", - "839565422 37 15 \n", - "839912316 14 10 \n", - "\n", - " earned_reward_count total_reward_count total_reward_volume \\\n", - "837658854 0 118 0.590 \n", - "838515247 106 111 1.085 \n", - "839219841 48 77 0.625 \n", - "839565422 107 122 1.145 \n", - "839912316 103 113 1.080 \n", - "\n", - " maximum_reward_rate engaged_trial_count mean_hit_rate \\\n", - "837658854 4.852157 101 NaN \n", - "838515247 5.294545 346 0.808946 \n", - "839219841 5.015095 49 0.231115 \n", - "839565422 5.393113 403 0.523621 \n", - "839912316 3.833645 583 0.778670 \n", - "\n", - " mean_hit_rate_uncorrected mean_hit_rate_engaged \\\n", - "837658854 NaN NaN \n", - "838515247 0.819726 0.822212 \n", - "839219841 0.233778 0.809956 \n", - "839565422 0.529213 0.877314 \n", - "839912316 0.785813 0.919466 \n", - "\n", - " mean_false_alarm_rate mean_false_alarm_rate_uncorrected \\\n", - "837658854 NaN NaN \n", - "838515247 0.574381 0.624039 \n", - "839219841 0.059502 0.025165 \n", - "839565422 0.192331 0.169870 \n", - "839912316 0.439618 0.511879 \n", - "\n", - " mean_false_alarm_rate_engaged mean_dprime mean_dprime_engaged \\\n", - "837658854 NaN NaN NaN \n", - "838515247 0.421906 0.662053 1.145407 \n", - "839219841 0.176463 0.452645 1.875796 \n", - "839565422 0.377171 1.208391 1.599180 \n", - "839912316 0.586558 1.164035 1.240594 \n", - "\n", - " max_dprime max_dprime_engaged \n", - "837658854 NaN NaN \n", - "838515247 1.832280 1.832280 \n", - "839219841 2.288211 2.288211 \n", - "839565422 2.201408 2.201408 \n", - "839912316 1.679661 1.644854 " + "831129394 0 0 \n", + "832021447 34 10 \n", + "832544149 1 9 \n", + "833328750 49 7 \n", + "834087859 170 7 \n", + "\n", + " correct_reject_trial_count auto_reward_count earned_reward_count \\\n", + "831129394 0 122 0 \n", + "832021447 7 6 67 \n", + "832544149 4 5 75 \n", + "833328750 14 7 140 \n", + "834087859 46 17 124 \n", + "\n", + " total_reward_count total_reward_volume maximum_reward_rate \\\n", + "831129394 122 0.610 7.940230 \n", + "832021447 73 0.700 3.003025 \n", + "832544149 80 0.775 4.100249 \n", + "833328750 147 1.435 4.914088 \n", + "834087859 141 1.325 5.402127 \n", + "\n", + " engaged_trial_count mean_hit_rate mean_hit_rate_uncorrected \\\n", + "831129394 112 NaN NaN \n", + "832021447 172 0.438318 0.427423 \n", + "832544149 388 0.957304 0.974269 \n", + "833328750 664 0.870796 0.881694 \n", + "834087859 322 0.531782 0.539226 \n", + "\n", + " mean_hit_rate_engaged mean_false_alarm_rate \\\n", + "831129394 NaN NaN \n", + "832021447 0.433100 0.421818 \n", + "832544149 0.974991 0.787584 \n", + "833328750 0.935623 0.502420 \n", + "834087859 0.832751 0.197336 \n", + "\n", + " mean_false_alarm_rate_uncorrected mean_false_alarm_rate_engaged \\\n", + "831129394 NaN NaN \n", + "832021447 0.397976 0.435379 \n", + "832544149 0.881553 0.805444 \n", + "833328750 0.482349 0.633119 \n", + "834087859 0.165555 0.301101 \n", + "\n", + " mean_dprime mean_dprime_engaged max_dprime max_dprime_engaged \n", + "831129394 NaN NaN NaN NaN \n", + "832021447 0.121475 -0.006137 0.792775 0.131320 \n", + "832544149 1.093624 1.089942 1.857055 1.857055 \n", + "833328750 1.485135 1.364075 2.217040 2.104946 \n", + "834087859 1.129222 1.766182 2.850748 2.850748 " ] }, - "execution_count": 24, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -4019,7 +5247,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -4050,7 +5278,6 @@ " driver_line\n", " sex\n", " age_in_days\n", - " session_type\n", " cre_line\n", " indicator\n", " session_number\n", @@ -4062,6 +5289,7 @@ " ophys_container_id\n", " project_code\n", " date_of_acquisition\n", + " session_type\n", " file_id\n", " trial_count\n", " go_trial_count\n", @@ -4136,40 +5364,40 @@ " \n", " \n", " \n", - " 837658854\n", - " BEH.B-Box3\n", + " 831129394\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 72.0\n", - " TRAINING_0_gratings_autorewards_15min\n", + " 81.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-15 14:49:24.015\n", + " 2019-03-01 13:25:23.766\n", + " TRAINING_0_gratings_autorewards_15min\n", " 1.085362e+09\n", - " 118\n", + " 122\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 118\n", + " 122\n", " 0\n", - " 118\n", - " 0.590\n", - " 4.852157\n", - " 101\n", + " 122\n", + " 0.610\n", + " 7.940230\n", + " 112\n", " NaN\n", " NaN\n", " NaN\n", @@ -4182,188 +5410,188 @@ " NaN\n", " \n", " \n", - " 838515247\n", - " BEH.B-Box1\n", + " 832021447\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 75.0\n", - " TRAINING_1_gratings\n", + " 84.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-18 13:44:01.474\n", + " 2019-03-04 14:21:34.570\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", - " 1405\n", - " 133\n", - " 13\n", - " 106\n", - " 27\n", - " 6\n", + " 1609\n", + " 101\n", + " 17\n", + " 67\n", + " 34\n", + " 10\n", " 7\n", - " 5\n", - " 106\n", - " 111\n", - " 1.085\n", - " 5.294545\n", - " 346\n", - " 0.808946\n", - " 0.819726\n", - " 0.822212\n", - " 0.574381\n", - " 0.624039\n", - " 0.421906\n", - " 0.662053\n", - " 1.145407\n", - " 1.832280\n", - " 1.832280\n", + " 6\n", + " 67\n", + " 73\n", + " 0.700\n", + " 3.003025\n", + " 172\n", + " 0.438318\n", + " 0.427423\n", + " 0.433100\n", + " 0.421818\n", + " 0.397976\n", + " 0.435379\n", + " 0.121475\n", + " -0.006137\n", + " 0.792775\n", + " 0.131320\n", " \n", " \n", - " 839219841\n", - " BEH.B-Box1\n", + " 832544149\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 76.0\n", - " TRAINING_1_gratings\n", + " 85.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 1\n", + " 1.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-19 12:50:12.068\n", + " 2019-03-05 13:52:38.642\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", - " 451\n", - " 335\n", - " 61\n", - " 48\n", - " 287\n", + " 1581\n", + " 76\n", + " 13\n", + " 75\n", " 1\n", - " 60\n", - " 29\n", - " 48\n", - " 77\n", - " 0.625\n", - " 5.015095\n", - " 49\n", - " 0.231115\n", - " 0.233778\n", - " 0.809956\n", - " 0.059502\n", - " 0.025165\n", - " 0.176463\n", - " 0.452645\n", - " 1.875796\n", - " 2.288211\n", - " 2.288211\n", + " 9\n", + " 4\n", + " 5\n", + " 75\n", + " 80\n", + " 0.775\n", + " 4.100249\n", + " 388\n", + " 0.957304\n", + " 0.974269\n", + " 0.974991\n", + " 0.787584\n", + " 0.881553\n", + " 0.805444\n", + " 1.093624\n", + " 1.089942\n", + " 1.857055\n", + " 1.857055\n", " \n", " \n", - " 839565422\n", - " BEH.B-Box1\n", + " 833328750\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 77.0\n", - " TRAINING_1_gratings\n", + " 86.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 2\n", + " 2.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-20 13:16:44.461\n", + " 2019-03-06 14:27:39.035\n", + " TRAINING_1_gratings\n", " 1.085362e+09\n", - " 683\n", - " 269\n", - " 41\n", - " 107\n", - " 162\n", - " 4\n", - " 37\n", - " 15\n", - " 107\n", - " 122\n", - " 1.145\n", - " 5.393113\n", - " 403\n", - " 0.523621\n", - " 0.529213\n", - " 0.877314\n", - " 0.192331\n", - " 0.169870\n", - " 0.377171\n", - " 1.208391\n", - " 1.599180\n", - " 2.201408\n", - " 2.201408\n", + " 1158\n", + " 189\n", + " 21\n", + " 140\n", + " 49\n", + " 7\n", + " 14\n", + " 7\n", + " 140\n", + " 147\n", + " 1.435\n", + " 4.914088\n", + " 664\n", + " 0.870796\n", + " 0.881694\n", + " 0.935623\n", + " 0.502420\n", + " 0.482349\n", + " 0.633119\n", + " 1.485135\n", + " 1.364075\n", + " 2.217040\n", + " 2.104946\n", " \n", " \n", - " 839912316\n", - " BEH.B-Box1\n", + " 834087859\n", + " BEH.F\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 445002\n", + " 440298\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 78.0\n", - " TRAINING_2_gratings_flashed\n", + " 87.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 3.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-03-21 12:54:25.388\n", - " 1.081589e+09\n", - " 966\n", - " 174\n", - " 20\n", - " 103\n", - " 71\n", - " 6\n", - " 14\n", - " 10\n", - " 103\n", - " 113\n", - " 1.080\n", - " 3.833645\n", - " 583\n", - " 0.778670\n", - " 0.785813\n", - " 0.919466\n", - " 0.439618\n", - " 0.511879\n", - " 0.586558\n", - " 1.164035\n", - " 1.240594\n", - " 1.679661\n", - " 1.644854\n", + " 2019-03-07 14:01:17.016\n", + " TRAINING_1_gratings\n", + " 1.085362e+09\n", + " 565\n", + " 294\n", + " 53\n", + " 124\n", + " 170\n", + " 7\n", + " 46\n", + " 17\n", + " 124\n", + " 141\n", + " 1.325\n", + " 5.402127\n", + " 322\n", + " 0.531782\n", + " 0.539226\n", + " 0.832751\n", + " 0.197336\n", + " 0.165555\n", + " 0.301101\n", + " 1.129222\n", + " 1.766182\n", + " 2.850748\n", + " 2.850748\n", " \n", " \n", "\n", @@ -4372,174 +5600,174 @@ "text/plain": [ " equipment_name \\\n", "behavior_session_id \n", - "837658854 BEH.B-Box3 \n", - "838515247 BEH.B-Box1 \n", - "839219841 BEH.B-Box1 \n", - "839565422 BEH.B-Box1 \n", - "839912316 BEH.B-Box1 \n", + "831129394 BEH.F \n", + "832021447 BEH.F \n", + "832544149 BEH.F \n", + "833328750 BEH.F \n", + "834087859 BEH.F \n", "\n", " full_genotype \\\n", "behavior_session_id \n", - "837658854 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "838515247 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839219841 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839565422 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839912316 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "837658854 445002 Ai93(TITL-GCaMP6f) \n", - "838515247 445002 Ai93(TITL-GCaMP6f) \n", - "839219841 445002 Ai93(TITL-GCaMP6f) \n", - "839565422 445002 Ai93(TITL-GCaMP6f) \n", - "839912316 445002 Ai93(TITL-GCaMP6f) \n", + "831129394 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "832021447 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "832544149 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "833328750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "834087859 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "\n", + " mouse_id reporter_line \\\n", + "behavior_session_id \n", + "831129394 440298 Ai93(TITL-GCaMP6f) \n", + "832021447 440298 Ai93(TITL-GCaMP6f) \n", + "832544149 440298 Ai93(TITL-GCaMP6f) \n", + "833328750 440298 Ai93(TITL-GCaMP6f) \n", + "834087859 440298 Ai93(TITL-GCaMP6f) \n", "\n", " driver_line sex age_in_days \\\n", "behavior_session_id \n", - "837658854 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 72.0 \n", - "838515247 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 75.0 \n", - "839219841 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 76.0 \n", - "839565422 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 77.0 \n", - "839912316 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 78.0 \n", - "\n", - " session_type cre_line \\\n", - "behavior_session_id \n", - "837658854 TRAINING_0_gratings_autorewards_15min Slc17a7-IRES2-Cre \n", - "838515247 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839219841 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839565422 TRAINING_1_gratings Slc17a7-IRES2-Cre \n", - "839912316 TRAINING_2_gratings_flashed Slc17a7-IRES2-Cre \n", - "\n", - " indicator session_number \\\n", - "behavior_session_id \n", - "837658854 GCaMP6f NaN \n", - "838515247 GCaMP6f NaN \n", - "839219841 GCaMP6f NaN \n", - "839565422 GCaMP6f NaN \n", - "839912316 GCaMP6f NaN \n", + "831129394 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 81.0 \n", + "832021447 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 84.0 \n", + "832544149 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 85.0 \n", + "833328750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 86.0 \n", + "834087859 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 87.0 \n", + "\n", + " cre_line indicator session_number \\\n", + "behavior_session_id \n", + "831129394 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "832021447 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "832544149 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "833328750 Slc17a7-IRES2-Cre GCaMP6f NaN \n", + "834087859 Slc17a7-IRES2-Cre GCaMP6f NaN \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "837658854 0 \n", - "838515247 0 \n", - "839219841 1 \n", - "839565422 2 \n", - "839912316 0 \n", + "831129394 0.0 \n", + "832021447 0.0 \n", + "832544149 1.0 \n", + "833328750 2.0 \n", + "834087859 3.0 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "837658854 NaN \n", - "838515247 NaN \n", - "839219841 NaN \n", - "839565422 NaN \n", - "839912316 NaN \n", + "831129394 NaN \n", + "832021447 NaN \n", + "832544149 NaN \n", + "833328750 NaN \n", + "834087859 NaN \n", "\n", " prior_exposures_to_omissions ophys_session_id \\\n", "behavior_session_id \n", - "837658854 0 NaN \n", - "838515247 0 NaN \n", - "839219841 0 NaN \n", - "839565422 0 NaN \n", - "839912316 0 NaN \n", + "831129394 0.0 NaN \n", + "832021447 0.0 NaN \n", + "832544149 0.0 NaN \n", + "833328750 0.0 NaN \n", + "834087859 0.0 NaN \n", "\n", " ophys_experiment_id ophys_container_id project_code \\\n", "behavior_session_id \n", - "837658854 NaN NaN NaN \n", - "838515247 NaN NaN NaN \n", - "839219841 NaN NaN NaN \n", - "839565422 NaN NaN NaN \n", - "839912316 NaN NaN NaN \n", - "\n", - " date_of_acquisition file_id trial_count \\\n", - "behavior_session_id \n", - "837658854 2019-03-15 14:49:24.015 1.085362e+09 118 \n", - "838515247 2019-03-18 13:44:01.474 1.085362e+09 1405 \n", - "839219841 2019-03-19 12:50:12.068 1.085362e+09 451 \n", - "839565422 2019-03-20 13:16:44.461 1.085362e+09 683 \n", - "839912316 2019-03-21 12:54:25.388 1.081589e+09 966 \n", - "\n", - " go_trial_count catch_trial_count hit_trial_count \\\n", - "behavior_session_id \n", - "837658854 0 0 0 \n", - "838515247 133 13 106 \n", - "839219841 335 61 48 \n", - "839565422 269 41 107 \n", - "839912316 174 20 103 \n", - "\n", - " miss_trial_count false_alarm_trial_count \\\n", - "behavior_session_id \n", - "837658854 0 0 \n", - "838515247 27 6 \n", - "839219841 287 1 \n", - "839565422 162 4 \n", - "839912316 71 6 \n", - "\n", - " correct_reject_trial_count auto_reward_count \\\n", - "behavior_session_id \n", - "837658854 0 118 \n", - "838515247 7 5 \n", - "839219841 60 29 \n", - "839565422 37 15 \n", - "839912316 14 10 \n", - "\n", - " earned_reward_count total_reward_count \\\n", - "behavior_session_id \n", - "837658854 0 118 \n", - "838515247 106 111 \n", - "839219841 48 77 \n", - "839565422 107 122 \n", - "839912316 103 113 \n", - "\n", - " total_reward_volume maximum_reward_rate \\\n", - "behavior_session_id \n", - "837658854 0.590 4.852157 \n", - "838515247 1.085 5.294545 \n", - "839219841 0.625 5.015095 \n", - "839565422 1.145 5.393113 \n", - "839912316 1.080 3.833645 \n", - "\n", - " engaged_trial_count mean_hit_rate \\\n", - "behavior_session_id \n", - "837658854 101 NaN \n", - "838515247 346 0.808946 \n", - "839219841 49 0.231115 \n", - "839565422 403 0.523621 \n", - "839912316 583 0.778670 \n", + "831129394 NaN NaN NaN \n", + "832021447 NaN NaN NaN \n", + "832544149 NaN NaN NaN \n", + "833328750 NaN NaN NaN \n", + "834087859 NaN NaN NaN \n", + "\n", + " date_of_acquisition \\\n", + "behavior_session_id \n", + "831129394 2019-03-01 13:25:23.766 \n", + "832021447 2019-03-04 14:21:34.570 \n", + "832544149 2019-03-05 13:52:38.642 \n", + "833328750 2019-03-06 14:27:39.035 \n", + "834087859 2019-03-07 14:01:17.016 \n", + "\n", + " session_type file_id \\\n", + "behavior_session_id \n", + "831129394 TRAINING_0_gratings_autorewards_15min 1.085362e+09 \n", + "832021447 TRAINING_1_gratings 1.085362e+09 \n", + "832544149 TRAINING_1_gratings 1.085362e+09 \n", + "833328750 TRAINING_1_gratings 1.085362e+09 \n", + "834087859 TRAINING_1_gratings 1.085362e+09 \n", + "\n", + " trial_count go_trial_count catch_trial_count \\\n", + "behavior_session_id \n", + "831129394 122 0 0 \n", + "832021447 1609 101 17 \n", + "832544149 1581 76 13 \n", + "833328750 1158 189 21 \n", + "834087859 565 294 53 \n", + "\n", + " hit_trial_count miss_trial_count \\\n", + "behavior_session_id \n", + "831129394 0 0 \n", + "832021447 67 34 \n", + "832544149 75 1 \n", + "833328750 140 49 \n", + "834087859 124 170 \n", + "\n", + " false_alarm_trial_count correct_reject_trial_count \\\n", + "behavior_session_id \n", + "831129394 0 0 \n", + "832021447 10 7 \n", + "832544149 9 4 \n", + "833328750 7 14 \n", + "834087859 7 46 \n", + "\n", + " auto_reward_count earned_reward_count \\\n", + "behavior_session_id \n", + "831129394 122 0 \n", + "832021447 6 67 \n", + "832544149 5 75 \n", + "833328750 7 140 \n", + "834087859 17 124 \n", + "\n", + " total_reward_count total_reward_volume \\\n", + "behavior_session_id \n", + "831129394 122 0.610 \n", + "832021447 73 0.700 \n", + "832544149 80 0.775 \n", + "833328750 147 1.435 \n", + "834087859 141 1.325 \n", + "\n", + " maximum_reward_rate engaged_trial_count mean_hit_rate \\\n", + "behavior_session_id \n", + "831129394 7.940230 112 NaN \n", + "832021447 3.003025 172 0.438318 \n", + "832544149 4.100249 388 0.957304 \n", + "833328750 4.914088 664 0.870796 \n", + "834087859 5.402127 322 0.531782 \n", "\n", " mean_hit_rate_uncorrected mean_hit_rate_engaged \\\n", "behavior_session_id \n", - "837658854 NaN NaN \n", - "838515247 0.819726 0.822212 \n", - "839219841 0.233778 0.809956 \n", - "839565422 0.529213 0.877314 \n", - "839912316 0.785813 0.919466 \n", + "831129394 NaN NaN \n", + "832021447 0.427423 0.433100 \n", + "832544149 0.974269 0.974991 \n", + "833328750 0.881694 0.935623 \n", + "834087859 0.539226 0.832751 \n", "\n", " mean_false_alarm_rate mean_false_alarm_rate_uncorrected \\\n", "behavior_session_id \n", - "837658854 NaN NaN \n", - "838515247 0.574381 0.624039 \n", - "839219841 0.059502 0.025165 \n", - "839565422 0.192331 0.169870 \n", - "839912316 0.439618 0.511879 \n", + "831129394 NaN NaN \n", + "832021447 0.421818 0.397976 \n", + "832544149 0.787584 0.881553 \n", + "833328750 0.502420 0.482349 \n", + "834087859 0.197336 0.165555 \n", "\n", " mean_false_alarm_rate_engaged mean_dprime \\\n", "behavior_session_id \n", - "837658854 NaN NaN \n", - "838515247 0.421906 0.662053 \n", - "839219841 0.176463 0.452645 \n", - "839565422 0.377171 1.208391 \n", - "839912316 0.586558 1.164035 \n", + "831129394 NaN NaN \n", + "832021447 0.435379 0.121475 \n", + "832544149 0.805444 1.093624 \n", + "833328750 0.633119 1.485135 \n", + "834087859 0.301101 1.129222 \n", "\n", " mean_dprime_engaged max_dprime max_dprime_engaged \n", "behavior_session_id \n", - "837658854 NaN NaN NaN \n", - "838515247 1.145407 1.832280 1.832280 \n", - "839219841 1.875796 2.288211 2.288211 \n", - "839565422 1.599180 2.201408 2.201408 \n", - "839912316 1.240594 1.679661 1.644854 " + "831129394 NaN NaN NaN \n", + "832021447 -0.006137 0.792775 0.131320 \n", + "832544149 1.089942 1.857055 1.857055 \n", + "833328750 1.364075 2.217040 2.104946 \n", + "834087859 1.766182 2.850748 2.850748 " ] }, - "execution_count": 25, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -4563,7 +5791,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -4728,9 +5956,6 @@ " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - " if (this.ratio !== 1) {\n", - " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", - " }\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", @@ -4740,7 +5965,17 @@ " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", - " var resizeObserver = new ResizeObserver(function (entries) {\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", @@ -4788,12 +6023,12 @@ " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", - " if (width != 0 && height != 0) {\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", - " resizeObserver.observe(canvas_div);\n", + " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", @@ -4809,6 +6044,10 @@ " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", + " rubberband_canvas.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", @@ -5066,11 +6305,14 @@ "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = 'image/png';\n", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " img.type = 'image/png';\n", + " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", @@ -5080,7 +6322,7 @@ " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data\n", + " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", @@ -5199,10 +6441,10 @@ "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", - " if (event.which === this._key) {\n", + " if (event.key === this._key) {\n", " return;\n", " } else {\n", - " this._key = event.which;\n", + " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", @@ -5210,18 +6452,17 @@ " }\n", "\n", " var value = '';\n", - " if (event.ctrlKey && event.which !== 17) {\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", - " if (event.altKey && event.which !== 18) {\n", + " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", - " if (event.shiftKey && event.which !== 16) {\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", - " value += 'k';\n", - " value += event.which.toString();\n", + " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", @@ -5240,9 +6481,13 @@ "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", @@ -5252,6 +6497,19 @@ " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", + " ws.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\n", + "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", @@ -5262,8 +6520,14 @@ " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data']);\n", + " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", @@ -5294,7 +6558,7 @@ " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", - " fig.cell_info[0].output_area.element.one(\n", + " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", @@ -5307,6 +6571,7 @@ " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", @@ -5427,6 +6692,10 @@ "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", @@ -5511,7 +6780,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -5553,14 +6822,13 @@ } ], "metadata": { - "celltoolbar": "Tags", "interpreter": { "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "allensdk", "language": "python", - "name": "python3" + "name": "allensdk" }, "language_info": { "codemirror_mode": { From e9009979b83f5055d3bc80826e6ce4d799014723 Mon Sep 17 00:00:00 2001 From: aamster Date: Wed, 14 Dec 2022 00:31:51 +0000 Subject: [PATCH 7/7] Update notebooks --- ..._with_the_stimulus_and_trials_tables.ipynb | 478 +- .../examples/nb/brain_observatory.ipynb | 1004 ++- .../nb/brain_observatory_analysis.ipynb | 340 +- .../nb/brain_observatory_monitor.ipynb | 206 +- .../nb/brain_observatory_stimuli.ipynb | 224 +- .../examples/nb/cell_specimen_mapping.ipynb | 118 +- .../examples/nb/cell_types.ipynb | 392 +- .../examples/nb/download_data_via_api.ipynb | 282 +- .../examples/nb/ecephys_data_access.ipynb | 458 +- .../examples/nb/ecephys_lfp_analysis.ipynb | 664 +- .../examples/nb/ecephys_optotagging.ipynb | 931 ++- .../examples/nb/ecephys_quality_metrics.ipynb | 568 +- .../examples/nb/ecephys_quickstart.ipynb | 646 +- .../nb/ecephys_receptive_fields.ipynb | 358 +- .../examples/nb/ecephys_session.ipynb | 934 +-- .../examples/nb/image_download.ipynb | 534 +- .../examples/nb/mouse_connectivity.ipynb | 342 +- .../examples/nb/receptive_fields.ipynb | 296 +- .../examples/nb/reference_space.ipynb | 707 +- ..._behavior_compare_across_trial_types.ipynb | 1122 ++-- .../nb/visual_behavior_load_ophys_data.ipynb | 1300 ++-- .../nb/visual_behavior_mouse_history.ipynb | 2219 ++++-- ...ual_behavior_neuropixels_data_access.ipynb | 5961 +++++++++++++++-- ...ehavior_neuropixels_dataset_manifest.ipynb | 848 +-- ...behavior_neuropixels_quality_metrics.ipynb | 706 +- ...sual_behavior_neuropixels_quickstart.ipynb | 432 +- .../visual_behavior_ophys_data_access.ipynb | 762 +-- ...sual_behavior_ophys_dataset_manifest.ipynb | 1720 ++--- 28 files changed, 16330 insertions(+), 8222 deletions(-) mode change 100755 => 100644 doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb diff --git a/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb b/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb index 9f5c23faa..5b8e50d83 100644 --- a/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb +++ b/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb @@ -5,10 +5,10 @@ "id": "da2b6c9c", "metadata": { "papermill": { - "duration": 0.009568, - "end_time": "2022-12-09T22:40:01.014110", + "duration": 0.00879, + "end_time": "2022-12-13T23:41:52.752286", "exception": false, - "start_time": "2022-12-09T22:40:01.004542", + "start_time": "2022-12-13T23:41:52.743496", "status": "completed" }, "tags": [] @@ -30,10 +30,10 @@ "id": "95acc7b6", "metadata": { "papermill": { - "duration": 0.007599, - "end_time": "2022-12-09T22:40:01.030207", + "duration": 0.006882, + "end_time": "2022-12-13T23:41:52.766504", "exception": false, - "start_time": "2022-12-09T22:40:01.022608", + "start_time": "2022-12-13T23:41:52.759622", "status": "completed" }, "tags": [] @@ -48,16 +48,16 @@ "id": "057695ee", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:40:01.048978Z", - "iopub.status.busy": "2022-12-09T22:40:01.048473Z", - "iopub.status.idle": "2022-12-09T22:40:10.218798Z", - "shell.execute_reply": "2022-12-09T22:40:10.217720Z" + "iopub.execute_input": "2022-12-13T23:41:52.782648Z", + "iopub.status.busy": "2022-12-13T23:41:52.781847Z", + "iopub.status.idle": "2022-12-13T23:41:59.221140Z", + "shell.execute_reply": "2022-12-13T23:41:59.220359Z" }, "papermill": { - "duration": 9.183966, - "end_time": "2022-12-09T22:40:10.221809", + "duration": 6.450424, + "end_time": "2022-12-13T23:41:59.223770", "exception": false, - "start_time": "2022-12-09T22:40:01.037843", + "start_time": "2022-12-13T23:41:52.773346", "status": "completed" }, "tags": [] @@ -89,10 +89,10 @@ "id": "fae528e5", "metadata": { "papermill": { - "duration": 0.00884, - "end_time": "2022-12-09T22:40:10.240178", + "duration": 0.007108, + "end_time": "2022-12-13T23:41:59.238829", "exception": false, - "start_time": "2022-12-09T22:40:10.231338", + "start_time": "2022-12-13T23:41:59.231721", "status": "completed" }, "tags": [] @@ -107,16 +107,16 @@ "id": "e9951ca8", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:40:10.265666Z", - "iopub.status.busy": "2022-12-09T22:40:10.264689Z", - "iopub.status.idle": "2022-12-09T22:40:10.270160Z", - "shell.execute_reply": "2022-12-09T22:40:10.269243Z" + "iopub.execute_input": "2022-12-13T23:41:59.254708Z", + "iopub.status.busy": "2022-12-13T23:41:59.253890Z", + "iopub.status.idle": "2022-12-13T23:41:59.257800Z", + "shell.execute_reply": "2022-12-13T23:41:59.257160Z" }, "papermill": { - 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"/tmp/tmpck8h4bq7/_downloaded_data.json\n", + "/tmp/tmph6hrd6cz/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 898kMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 6.24MMB/s]\n", - "units.csv: 100%|██████████| 132M/132M [00:03<00:00, 40.9MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.54MMB/s]\n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:00<00:00, 28.6MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 590kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.69MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:04<00:00, 31.7MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 967kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 22.2MMB/s]\n" ] } ], @@ -186,10 +186,10 @@ "id": "10965f32", "metadata": { "papermill": { - 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"duration": 0.074021, - "end_time": "2022-12-09T22:43:31.483625", + "duration": 0.053575, + "end_time": "2022-12-13T23:44:53.874190", "exception": false, - "start_time": "2022-12-09T22:43:31.409604", + "start_time": "2022-12-13T23:44:53.820615", "status": "completed" }, "tags": [] @@ -2347,17 +2347,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 216.316719, - "end_time": "2022-12-09T22:43:35.483975", + "duration": 185.382737, + "end_time": "2022-12-13T23:44:56.953831", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb", - "output_path": "/tmp/tmpck8h4bq7/scratch_nb.ipynb", + "output_path": "/tmp/tmph6hrd6cz/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpck8h4bq7", + "output_dir": "/tmp/tmph6hrd6cz", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:39:59.167256", + "start_time": "2022-12-13T23:41:51.571094", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/brain_observatory.ipynb b/doc_template/examples_root/examples/nb/brain_observatory.ipynb index 0c1ca4a2a..71702574d 100644 --- a/doc_template/examples_root/examples/nb/brain_observatory.ipynb +++ b/doc_template/examples_root/examples/nb/brain_observatory.ipynb @@ -2,10 +2,19 @@ "cells": [ { "cell_type": "markdown", + "id": "cd48a6ee", "metadata": { + "papermill": { + "duration": 0.009148, + "end_time": "2022-12-13T23:15:57.788153", + "exception": false, + "start_time": "2022-12-13T23:15:57.779005", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "# Brain Observatory\n", @@ -16,10 +25,19 @@ }, { "cell_type": "markdown", + "id": "6055a8d4", "metadata": { + "papermill": { + "duration": 0.006783, + "end_time": "2022-12-13T23:15:57.802188", + "exception": false, + "start_time": "2022-12-13T23:15:57.795405", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Experiment Containers\n", @@ -28,11 +46,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, + "id": "8e879ee9", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:15:57.817401Z", + "iopub.status.busy": "2022-12-13T23:15:57.816761Z", + "iopub.status.idle": "2022-12-13T23:15:57.824702Z", + "shell.execute_reply": "2022-12-13T23:15:57.823984Z" + }, + "papermill": { + "duration": 0.017517, + "end_time": "2022-12-13T23:15:57.826295", + "exception": false, + "start_time": "2022-12-13T23:15:57.808778", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -41,8 +74,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, + "id": "220c7414", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:15:57.841268Z", + "iopub.status.busy": "2022-12-13T23:15:57.840787Z", + "iopub.status.idle": "2022-12-13T23:15:57.844001Z", + "shell.execute_reply": "2022-12-13T23:15:57.843420Z" + }, + "papermill": { + "duration": 0.012619, + "end_time": "2022-12-13T23:15:57.845561", + "exception": false, + "start_time": "2022-12-13T23:15:57.832942", + "status": "completed" + }, "pycharm": { "name": "#%%\n" }, @@ -57,13 +104,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, + "id": "87b84d32", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:15:57.881570Z", + "iopub.status.busy": "2022-12-13T23:15:57.881055Z", + "iopub.status.idle": "2022-12-13T23:16:08.834321Z", + "shell.execute_reply": "2022-12-13T23:16:08.833539Z" + }, + "papermill": { + "duration": 10.963112, + "end_time": "2022-12-13T23:16:08.836118", + "exception": false, + "start_time": "2022-12-13T23:15:57.873006", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "all targeted structures: ['VISal', 'VISam', 'VISl', 'VISp', 'VISpm', 'VISrl']\n" + ] + } + ], "source": [ "from allensdk.core.brain_observatory_cache import BrainObservatoryCache\n", "import pprint\n", @@ -82,13 +152,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, + "id": "ee8ca05b", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:08.852609Z", + "iopub.status.busy": "2022-12-13T23:16:08.851715Z", + "iopub.status.idle": "2022-12-13T23:16:08.903420Z", + "shell.execute_reply": "2022-12-13T23:16:08.902560Z" + }, + "papermill": { + "duration": 0.061748, + "end_time": "2022-12-13T23:16:08.905395", + "exception": false, + "start_time": "2022-12-13T23:16:08.843647", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "all targeted structures: ['VISal', 'VISam', 'VISl', 'VISp', 'VISpm', 'VISrl']\n" + ] + } + ], "source": [ "from allensdk.core.brain_observatory_cache import BrainObservatoryCache\n", "import pprint\n", @@ -107,18 +200,33 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, + "id": "8569f98a", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:08.921830Z", + "iopub.status.busy": "2022-12-13T23:16:08.921167Z", + "iopub.status.idle": "2022-12-13T23:16:08.970790Z", + "shell.execute_reply": "2022-12-13T23:16:08.969951Z" + }, + "papermill": { + "duration": 0.05962, + "end_time": "2022-12-13T23:16:08.972704", + "exception": false, + "start_time": "2022-12-13T23:16:08.913084", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "all targeted structures: [u'VISal', u'VISam', u'VISl', u'VISp', u'VISpm', u'VISrl']\n" + "all targeted structures: ['VISal', 'VISam', 'VISl', 'VISp', 'VISpm', 'VISrl']\n" ] } ], @@ -140,18 +248,33 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, + "id": "043f4517", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:08.989449Z", + "iopub.status.busy": "2022-12-13T23:16:08.988813Z", + "iopub.status.idle": "2022-12-13T23:16:09.037876Z", + "shell.execute_reply": "2022-12-13T23:16:09.037036Z" + }, + "papermill": { + "duration": 0.060208, + "end_time": "2022-12-13T23:16:09.040553", + "exception": false, + "start_time": "2022-12-13T23:16:08.980345", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "all VISp experiment containers: 144\n" + "all VISp experiment containers: 216\n" ] } ], @@ -163,11 +286,26 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, + "id": "d9cec3d4", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:09.057153Z", + "iopub.status.busy": "2022-12-13T23:16:09.056639Z", + "iopub.status.idle": "2022-12-13T23:16:09.107652Z", + "shell.execute_reply": "2022-12-13T23:16:09.106780Z" + }, + "papermill": { + "duration": 0.061321, + "end_time": "2022-12-13T23:16:09.109674", + "exception": false, + "start_time": "2022-12-13T23:16:09.048353", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -186,11 +324,26 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, + "id": "96b25815", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:09.126873Z", + "iopub.status.busy": "2022-12-13T23:16:09.126389Z", + "iopub.status.idle": "2022-12-13T23:16:09.130784Z", + "shell.execute_reply": "2022-12-13T23:16:09.130073Z" + }, + "papermill": { + "duration": 0.015224, + "end_time": "2022-12-13T23:16:09.133211", + "exception": false, + "start_time": "2022-12-13T23:16:09.117987", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -221,11 +374,26 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, + "id": "2a4dc967", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:09.149792Z", + "iopub.status.busy": "2022-12-13T23:16:09.149284Z", + "iopub.status.idle": "2022-12-13T23:16:09.200797Z", + "shell.execute_reply": "2022-12-13T23:16:09.199967Z" + }, + "papermill": { + "duration": 0.061646, + "end_time": "2022-12-13T23:16:09.202448", + "exception": false, + "start_time": "2022-12-13T23:16:09.140802", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -234,19 +402,19 @@ "text": [ "all cre lines:\n", "\n", - "[u'Cux2-CreERT2',\n", - " u'Emx1-IRES-Cre',\n", - " u'Fezf2-CreER',\n", - " u'Nr5a1-Cre',\n", - " u'Ntsr1-Cre_GN220',\n", - " u'Pvalb-IRES-Cre',\n", - " u'Rbp4-Cre_KL100',\n", - " u'Rorb-IRES2-Cre',\n", - " u'Scnn1a-Tg3-Cre',\n", - " u'Slc17a7-IRES2-Cre',\n", - " u'Sst-IRES-Cre',\n", - " u'Tlx3-Cre_PL56',\n", - " u'Vip-IRES-Cre']\n" + "['Cux2-CreERT2',\n", + " 'Emx1-IRES-Cre',\n", + " 'Fezf2-CreER',\n", + " 'Nr5a1-Cre',\n", + " 'Ntsr1-Cre_GN220',\n", + " 'Pvalb-IRES-Cre',\n", + " 'Rbp4-Cre_KL100',\n", + " 'Rorb-IRES2-Cre',\n", + " 'Scnn1a-Tg3-Cre',\n", + " 'Slc17a7-IRES2-Cre',\n", + " 'Sst-IRES-Cre',\n", + " 'Tlx3-Cre_PL56',\n", + " 'Vip-IRES-Cre']\n" ] } ], @@ -259,11 +427,26 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, + "id": "fcb56809", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:09.219741Z", + "iopub.status.busy": "2022-12-13T23:16:09.219065Z", + "iopub.status.idle": "2022-12-13T23:16:09.268166Z", + "shell.execute_reply": "2022-12-13T23:16:09.267462Z" + }, + "papermill": { + "duration": 0.059658, + "end_time": "2022-12-13T23:16:09.270001", + "exception": false, + "start_time": "2022-12-13T23:16:09.210343", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -273,15 +456,15 @@ "Cux2 experiments: 76\n", "\n", "Example experiment container record:\n", - "{'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'222426',\n", + "{'cre_line': 'Cux2-CreERT2',\n", + " 'donor_name': '222426',\n", " 'failed': False,\n", " 'id': 511510736,\n", " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", + " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", " 'tags': [],\n", - " 'targeted_structure': u'VISp'}\n" + " 'targeted_structure': 'VISp'}\n" ] } ], @@ -296,10 +479,19 @@ }, { "cell_type": "markdown", + "id": "a3c1ce36", "metadata": { + "papermill": { + "duration": 0.007645, + "end_time": "2022-12-13T23:16:09.285785", + "exception": false, + "start_time": "2022-12-13T23:16:09.278140", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Download Experiments for a Container\n", @@ -308,11 +500,26 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, + "id": "7fd5776a", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:09.302535Z", + "iopub.status.busy": "2022-12-13T23:16:09.302000Z", + "iopub.status.idle": "2022-12-13T23:16:35.305744Z", + "shell.execute_reply": "2022-12-13T23:16:35.304945Z" + }, + "papermill": { + "duration": 26.014167, + "end_time": "2022-12-13T23:16:35.307501", + "exception": false, + "start_time": "2022-12-13T23:16:09.293334", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -321,39 +528,39 @@ "text": [ "Experiments for experiment_container_id 511510736: 3\n", "\n", - "[{'acquisition_age_days': 104,\n", - " 'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'222426',\n", + "[{'acquisition_age_days': 103,\n", + " 'cre_line': 'Cux2-CreERT2',\n", + " 'donor_name': '222426',\n", " 'experiment_container_id': 511510736,\n", " 'fail_eye_tracking': True,\n", - " 'id': 501704220,\n", + " 'id': 501559087,\n", " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'session_type': u'three_session_A',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", - " 'targeted_structure': u'VISp'},\n", - " {'acquisition_age_days': 103,\n", - " 'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'222426',\n", + " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n", + " 'session_type': 'three_session_B',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", + " 'targeted_structure': 'VISp'},\n", + " {'acquisition_age_days': 104,\n", + " 'cre_line': 'Cux2-CreERT2',\n", + " 'donor_name': '222426',\n", " 'experiment_container_id': 511510736,\n", " 'fail_eye_tracking': True,\n", - " 'id': 501559087,\n", + " 'id': 501704220,\n", " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'session_type': u'three_session_B',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", - " 'targeted_structure': u'VISp'},\n", + " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n", + " 'session_type': 'three_session_A',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", + " 'targeted_structure': 'VISp'},\n", " {'acquisition_age_days': 102,\n", - " 'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'222426',\n", + " 'cre_line': 'Cux2-CreERT2',\n", + " 'donor_name': '222426',\n", " 'experiment_container_id': 511510736,\n", " 'fail_eye_tracking': True,\n", " 'id': 501474098,\n", " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'session_type': u'three_session_C',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", - " 'targeted_structure': u'VISp'}]\n" + " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n", + " 'session_type': 'three_session_C',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n", + " 'targeted_structure': 'VISp'}]\n" ] } ], @@ -367,10 +574,19 @@ }, { "cell_type": "markdown", + "id": "fdcd6bd9", "metadata": { + "papermill": { + "duration": 0.008101, + "end_time": "2022-12-13T23:16:35.324132", + "exception": false, + "start_time": "2022-12-13T23:16:35.316031", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The `session_type` field indicates which experimental protocol was used. If you just want to find which experiment contains the static gratings stimulus, you can do the following:" @@ -378,11 +594,26 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 13, + "id": "7ee205c2", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:35.341764Z", + "iopub.status.busy": "2022-12-13T23:16:35.341013Z", + "iopub.status.idle": "2022-12-13T23:16:36.000290Z", + "shell.execute_reply": "2022-12-13T23:16:35.999108Z" + }, + "papermill": { + "duration": 0.670326, + "end_time": "2022-12-13T23:16:36.002269", + "exception": false, + "start_time": "2022-12-13T23:16:35.331943", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -391,16 +622,16 @@ "text": [ "Experiment with static gratings:\n", "{'acquisition_age_days': 113,\n", - " 'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'308148',\n", + " 'cre_line': 'Cux2-CreERT2',\n", + " 'donor_name': '308148',\n", " 'experiment_container_id': 591392164,\n", - " 'fail_eye_tracking': True,\n", + " 'fail_eye_tracking': False,\n", " 'id': 592494159,\n", " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'session_type': u'three_session_B',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n", - " 'targeted_structure': u'VISrl'}\n" + " 'reporter_line': 'Ai93(TITL-GCaMP6f)',\n", + " 'session_type': 'three_session_B',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n", + " 'targeted_structure': 'VISrl'}\n" ] } ], @@ -419,10 +650,19 @@ }, { "cell_type": "markdown", + "id": "6b13077a", "metadata": { + "papermill": { + "duration": 0.00808, + "end_time": "2022-12-13T23:16:36.018916", + "exception": false, + "start_time": "2022-12-13T23:16:36.010836", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Now we can download the NWB file for this experiment." @@ -430,34 +670,56 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 14, + "id": "e4381ee6", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:36.036938Z", + "iopub.status.busy": "2022-12-13T23:16:36.036292Z", + "iopub.status.idle": "2022-12-13T23:16:52.945498Z", + "shell.execute_reply": "2022-12-13T23:16:52.944663Z" + }, + "papermill": { + "duration": 16.920437, + "end_time": "2022-12-13T23:16:52.947505", + "exception": false, + "start_time": "2022-12-13T23:16:36.027068", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-12-13 23:16:36,192 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/592661898\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "{'age_days': 114,\n", - " 'cre_line': u'Cux2-CreERT2/wt',\n", - " 'device': u'Nikon A1R-MP multiphoton microscope',\n", - " 'device_name': u'CAM2P.1',\n", - " 'excitation_lambda': u'910 nanometers',\n", + " 'cre_line': 'Cux2-CreERT2/wt',\n", + " 'device': 'Nikon A1R-MP multiphoton microscope',\n", + " 'device_name': 'CAM2P.1',\n", + " 'excitation_lambda': '910 nanometers',\n", " 'experiment_container_id': 591392164,\n", - " 'fov': u'400x400 microns (512 x 512 pixels)',\n", - " 'genotype': u'Cux2-CreERT2/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/wt',\n", + " 'fov': '400x400 microns (512 x 512 pixels)',\n", + " 'genotype': 'Cux2-CreERT2/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/wt',\n", " 'imaging_depth_um': 175,\n", - " 'indicator': u'GCaMP6f',\n", + " 'indicator': 'GCaMP6f',\n", " 'ophys_experiment_id': 592494159,\n", - " 'pipeline_version': u'3.0',\n", + " 'pipeline_version': '3.0',\n", " 'session_start_time': datetime.datetime(2017, 5, 31, 10, 29, 38),\n", - " 'session_type': u'three_session_B',\n", - " 'sex': u'female',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n", - " 'targeted_structure': u'VISrl'}\n" + " 'session_type': 'three_session_B',\n", + " 'sex': 'female',\n", + " 'specimen_name': 'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n", + " 'targeted_structure': 'VISrl'}\n" ] } ], @@ -470,10 +732,19 @@ }, { "cell_type": "markdown", + "id": "a54821c9", "metadata": { + "papermill": { + "duration": 0.008109, + "end_time": "2022-12-13T23:16:52.964246", + "exception": false, + "start_time": "2022-12-13T23:16:52.956137", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Find Cells of Interest\n", @@ -484,11 +755,26 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, + "id": "61b02e9b", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:16:52.982450Z", + "iopub.status.busy": "2022-12-13T23:16:52.981770Z", + "iopub.status.idle": "2022-12-13T23:22:18.470279Z", + "shell.execute_reply": "2022-12-13T23:22:18.469631Z" + }, + "papermill": { + "duration": 325.507655, + "end_time": "2022-12-13T23:22:18.480379", + "exception": false, + "start_time": "2022-12-13T23:16:52.972724", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -526,10 +812,19 @@ }, { "cell_type": "markdown", + "id": "080dd75f", "metadata": { + "papermill": { + "duration": 0.008108, + "end_time": "2022-12-13T23:22:18.496816", + "exception": false, + "start_time": "2022-12-13T23:22:18.488708", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Find Experiments for Cells\n", @@ -538,11 +833,26 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, + "id": "f4867585", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:22:19.373390Z", + "iopub.status.busy": "2022-12-13T23:22:19.372863Z", + "iopub.status.idle": "2022-12-13T23:22:20.306966Z", + "shell.execute_reply": "2022-12-13T23:22:20.306167Z" + }, + "papermill": { + "duration": 1.803641, + "end_time": "2022-12-13T23:22:20.308844", + "exception": false, + "start_time": "2022-12-13T23:22:18.505203", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -552,17 +862,17 @@ "total dsi experiment containers: 104\n", "VISp drifting gratings ophys experiments: 104\n", "Example ophys experiment:\n", - "{'acquisition_age_days': 111,\n", - " 'cre_line': u'Cux2-CreERT2',\n", - " 'donor_name': u'382421',\n", - " 'experiment_container_id': 701412138,\n", - " 'fail_eye_tracking': True,\n", - " 'id': 704298735,\n", - " 'imaging_depth': 175,\n", - " 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n", - " 'session_type': u'three_session_A',\n", - " 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-382421',\n", - " 'targeted_structure': u'VISp'}\n" + "{'acquisition_age_days': 88,\n", + " 'cre_line': 'Ntsr1-Cre_GN220',\n", + " 'donor_name': '339814',\n", + " 'experiment_container_id': 627823692,\n", + " 'fail_eye_tracking': False,\n", + " 'id': 627823695,\n", + " 'imaging_depth': 550,\n", + " 'reporter_line': 'Ai148(TIT2L-GC6f-ICL-tTA2)',\n", + " 'session_type': 'three_session_A',\n", + " 'specimen_name': 'Ntsr1-Cre_GN220;Ai148-339814',\n", + " 'targeted_structure': 'VISp'}\n" ] } ], @@ -583,10 +893,19 @@ }, { "cell_type": "markdown", + "id": "607f27e7", "metadata": { + "papermill": { + "duration": 0.008629, + "end_time": "2022-12-13T23:22:20.326401", + "exception": false, + "start_time": "2022-12-13T23:22:20.317772", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Download Experiment Data for a Cell\n", @@ -595,37 +914,59 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, + "id": "fb346e93", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:22:20.344982Z", + "iopub.status.busy": "2022-12-13T23:22:20.344345Z", + "iopub.status.idle": "2022-12-13T23:23:10.541937Z", + "shell.execute_reply": "2022-12-13T23:23:10.541274Z" + }, + "papermill": { + "duration": 50.217609, + "end_time": "2022-12-13T23:23:10.552347", + "exception": false, + "start_time": "2022-12-13T23:22:20.334738", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-12-13 23:22:24,165 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/516362573\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "Metadata from NWB file:\n", "{'age_days': 93,\n", - " 'cre_line': u'Scnn1a-Tg3-Cre/wt',\n", - " 'device': u'Nikon A1R-MP multiphoton microscope',\n", - " 'device_name': u'CAM2P.2',\n", - " 'excitation_lambda': u'910 nanometers',\n", + " 'cre_line': 'Scnn1a-Tg3-Cre/wt',\n", + " 'device': 'Nikon A1R-MP multiphoton microscope',\n", + " 'device_name': 'CAM2P.2',\n", + " 'excitation_lambda': '910 nanometers',\n", " 'experiment_container_id': 511498742,\n", - " 'fov': u'400x400 microns (512 x 512 pixels)',\n", - " 'genotype': u'Scnn1a-Tg3-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/Ai93(TITL-GCaMP6f)',\n", + " 'fov': '400x400 microns (512 x 512 pixels)',\n", + " 'genotype': 'Scnn1a-Tg3-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/Ai93(TITL-GCaMP6f)',\n", " 'imaging_depth_um': 350,\n", - " 'indicator': u'GCaMP6f',\n", + " 'indicator': 'GCaMP6f',\n", " 'ophys_experiment_id': 511534603,\n", - " 'pipeline_version': u'3.0',\n", + " 'pipeline_version': '3.0',\n", " 'session_start_time': datetime.datetime(2016, 4, 1, 9, 12, 3),\n", - " 'session_type': u'three_session_A',\n", - " 'sex': u'female',\n", - " 'specimen_name': u'Scnn1a-Tg3-Cre;Camk2a-tTA;Ai93-231953',\n", - " 'targeted_structure': u'VISp'}\n", + " 'session_type': 'three_session_A',\n", + " 'sex': 'female',\n", + " 'specimen_name': 'Scnn1a-Tg3-Cre;Camk2a-tTA;Ai93-231953',\n", + " 'targeted_structure': 'VISp'}\n", "stimuli available in this file:\n", - "[u'drifting_gratings', u'natural_movie_one', u'natural_movie_three', u'spontaneous']\n" + "['drifting_gratings', 'natural_movie_one', 'natural_movie_three', 'spontaneous']\n" ] } ], @@ -648,10 +989,19 @@ }, { "cell_type": "markdown", + "id": "dc9bc85c", "metadata": { + "papermill": { + "duration": 0.008645, + "end_time": "2022-12-13T23:23:10.569880", + "exception": false, + "start_time": "2022-12-13T23:23:10.561235", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Fluorescence Traces\n", @@ -660,11 +1010,26 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, + "id": "cd2cdf9a", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:23:10.589452Z", + "iopub.status.busy": "2022-12-13T23:23:10.588786Z", + "iopub.status.idle": "2022-12-13T23:23:10.729070Z", + "shell.execute_reply": "2022-12-13T23:23:10.728204Z" + }, + "papermill": { + "duration": 0.152641, + "end_time": "2022-12-13T23:23:10.731123", + "exception": false, + "start_time": "2022-12-13T23:23:10.578482", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -678,18 +1043,33 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, + "id": "9a6d7818", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:23:10.754847Z", + "iopub.status.busy": "2022-12-13T23:23:10.754175Z", + "iopub.status.idle": "2022-12-13T23:23:11.705711Z", + "shell.execute_reply": "2022-12-13T23:23:11.704759Z" + }, + "papermill": { + "duration": 0.965041, + "end_time": "2022-12-13T23:23:11.707492", + "exception": false, + "start_time": "2022-12-13T23:23:10.742451", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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6Vs/iRkTk5dbn1nw9fR2mrirEN7f2tDspRI4UMdBRSuUCOM5g+Q4AfQ2WKwD3WZI6Iodhm0Jk3i5mDRYXHFxaDiEiSpgX/1hmdxKIHC2e6aWJiIL4ppdO0HaJiIiIzGCgQ0SW8o6lsf45Oox0iCgxHNdg7LgEEbkTAx0ishbjESIiSzA7JYoPAx2iKAj7T5nGCkkiIiKyEwMdoii4dWaeZPKGgjxWRET2mrd+J0YtDHqUIVHaMDO9NBGRaYlq9WJjGhGlC6um079i8AwAwCXHHWTJ9ojchi06RGSpxhYdW5NBROR6rOAhig8DHaIocIxOZDxEqaehQbErIhERuQ4DHSJKCKu6XpC9quvqcehTY/D2X6vsTgpRwjCOJ0pNDHSIiCikyup6AMDQ2ettTglR4jitYoaBF5E1GOgQRSFcr6y1heXs3qNj9QM+2SOOyF1WbCnF4Clr7U6Gq/FByUTxYaBDFIVQYcyMtdvR9+2p+H5uflLT42RW15AyhCRyl0s+nI7Xx66wOxmmsI6KKDUx0CGywNrCCgDA4k0lNqfEfomqgWRBxF48/hStmvoGu5NgGk9votTEQIdIU1pVi4YG3u6swoJxauAsekRE5FYMdIgAlFTWovsLf+Ht8SvDrscyX2SJKhizwE3kTq4Yu+iCJBJR9BjoEAEoqqwBAGQtKrA5JURElGxOm3WNiKxhOtARkaYikiMio7W/vxGRdSKyQPvXQ1suIvKBiKwRkUUickKiEk9ERMnhilp5IiIinWZRrPsQgOUA9tEte0wp9VPAehcA6KL9OxnAYO1/IiJyGU5vS+mAcTxRajLVoiMiHQH0B/CFidUvBTBEecwC0FpE2seRRqKk4b3OOlYXHFjcJnInBhHR4yEjsobZrmvvAXgcQOBckQO17mnvikgLbVkHAPqHiWzUlvkRkbtEJFtEsgsLC6NNN5GlUrEQrZRC5ivjMXLOhqTuNxWPJRGlNqcGFpyEhSg+EQMdEbkIwDal1LyAt54EcBSAkwDsB+AJ70cMNhOUhyilPlNKZSqlMtu2bRtdqokoogYFbC+vwVO/LrY7KUREjua0MWgOSw6Ra5lp0ekF4BIRyQMwEsDZIjJUKVWgdU+rBvA1gJ7a+hsBdNJ9viOAzRammYiiYNf9krMYERHg3NYSN2CLDlF8IgY6SqknlVIdlVIZAK4BMEkpdYN33I2ICIDLACzRPjIKwE3a7GunAChRSnHOXkoJbrrpeJOa9JrBRB0jFx17InIXBmNEqSmaWdcCDRORtvAUPxYAuFtbPgbAhQDWAKgEcGtcKSQid2GJISXxZ6VUxq5iRKkpqkBHKTUFwBTt9dkh1lEA7os3YURE5ABsSSMiIpcy/cBQonSQSrV6dn2V6vrAyRktkkK/DVE6cdpAf7N2VtSgsqbO7mQQURwY6BDBXWNvnO6hETkAgLp6dxZuiMgabs9Xj395PM55e6ot++ZkLkTWYKBDRJYqrfLUgNa7tBbXCnX1DahNVMuWXdL356Q0trmkyuYUuDxaJLIZAx0ipFaXNbLfGW9OQZen/7Q7GZZwe6082Y/ZKxHZhYEOURRY6DPPGzxmDMjCO+NX2ZuYJNtUvMvuJBAREaU9BjpEsC6AYc1lI/2x+GDi6vg3yCDTFmztJCIit2KgQ+QidfUNWF5Qampdt850RERERGQFBjpEOvHOdJPoRoc3/1qJC96fhjXbyhO8JyIPdtekeLHOJT38+9OZGL1os93JIPLDQIcIgLikX1TOhmIAwPbyaptTYgJLN0RpzR25Klllzroi3D88x+5kEPlhoENECWF1mJPsYLS8ug5z84qSuk8nY9hKlDxOqCcqq6rFq2OWo6YuxabKp7TCQIcIsXdZs2scjBNugqnu/uHzcdUnM1FcWWN3UmzFWnmKFx9+GT3vEbOz6+i741fjs79z8eO8fPsSQRQnBjpELuKmQqfbg7Glmz2TPrA2kyg2wgFecbPzCHofelzf4PLMnNIaAx0imO8W5ZaxPAC7GlklJ7/Y7iQQuRJnfiQiuzHQIYqDXffxdOwKYtd3nr9+py37dRoWWok8Fm8swe8LNtmdjKThpU9u1szuBBC5id0BBnuCJA8PtQe7H1G8Uq2gfPFH/wAALu3RweaUJBYvfUoFbNEh0on2hpxi929L2R0UWiU1vgVR8jFIJiK7mQ50RKSpiOSIyGjt70NEZLaIrBaR70VkN215C+3vNdr7GYlJOpF1zN6PHTNGxwWlb7fX4nrPiXTvspXu35/ICrtq6vmgZyIbRNOi8xCA5bq/XwfwrlKqC4CdAG7Xlt8OYKdS6nAA72rrETlarGU5FgKJiCiSB0bk4Jx3pqKqtt7upESN9zlyM1OBjoh0BNAfwBfa3wLgbAA/aat8C+Ay7fWl2t/Q3u8rbL+mNJG024GJK8rue5PV+7erNc3u42g3Zt8UK545jWau3Q4AqDM7VbMDMh7+fpQKzLbovAfgcQDeB0q0AVCslKrT/t4IwDsqrwOAfADQ3i/R1vcjIneJSLaIZBcWFsaYfCJrxFqWs+1WZP89MCIXJDEsb2Dl9u9BRM4RbesI6xmI4hMx0BGRiwBsU0rN0y82WFWZeK9xgVKfKaUylVKZbdu2NZVYIttFuOkk+p7kmDFCJrgnpeE5oGKViFyOLaNE9jDTotMLwCUikgdgJDxd1t4D0FpEvNNTdwSwWXu9EUAnANDebwWgyMI0EzlGYCE4WWVilr0T4+lfF+PneRv9lqXK7HHx4lGgWLGyoJEbD4Ub00zkFTHQUUo9qZTqqJTKAHANgElKqesBTAZwpbbazQB+116P0v6G9v4kxZFs5BJOP1PdVClo9aFMxncfNnsD/vvjwqTtj4jSQ7TZiTf/LCyrtjopprEVilJBPM/ReQLAIyKyBp4xOF9qy78E0EZb/giAAfElkcg5ImX7vC0QEVG8lmwqAQCMW7rV5pQQuVuzyKs0UkpNATBFe50LoKfBOlUArrIgbURJF20Fll3dmsy0PNnd5SpVGnJT5GvEjceBYmV3XuQkZq+junrnHDNe++RmUQU6ROnO7qb8dO5J0KxJGn95IhdK5/wqSNSVaPZZuaUMDYxuKEUw0CHSiTZv570geVrv0dzuJBARxccF94x+7/0NALjltAwADFjJ3eIZo0OUdpjf22/fJAc8qdIFL1bp/v3JWiPnbMC01en37LyoJyPgdUdkCbboEFmIt6ZGibpPJ+sYewsm/E2JonfTV3NQq40z0ecFA35ZDADIG9TfjmTZzo3jlRhzkZuxRYfIQmzxaeTGG7oR3uSJovf3qvRrtQnH7vGdROmKgQ5RHOx7YGjkPbGAHh8WTIjIKuyKRmQPBjpEUQhV9k1WkVgc1GY0bukWzFu/M+n7ZXmByF14yRKRXRjoEFFM/vPdPFwxeEbI9+sbUqN4w2lWPVKlKyKlvpf+WIb7hs23Oxl+3NxCzCuf3IyBDlEUAltUnPzAULutLaxIyHaT3QXEBYeaLJRbWI6MAVmYvHKb3UmhGH01fR2yFhfYnQxDbsi7vVwcmxH5MNAhgnUZeqJvYrzxECXW/A3FAIA/Fm62OSVU36Dw6I8LsXprmd1JiRvzbiJ7MNAhioM3sOFNLHW5qQaWnKWgZBf+N3lN2g9Ej/X7r9xShp/mbcQDI3IsTpF9zB4JJ50x6X7+krsx0CHH2ly8y+4kOFY63XZGLdyMPm9MgnfIT9Keo+MLXtPpaIeWdmUdC77vvcPm481xK7F6W3l8SVGKhU2Xi/6BoQlJRlScNPkNUawY6JAj/bm4AKcNmuS4ZzEEttwE34sccHdKMU/8tAj5RbtQVVuf1P06oaDhBOl2GKws2lVWe87ZeCfmOPaFv9D37alWJIlsxoAV2FpahbKqWruTQWmCgQ450oJ8Tz/5ZQWlNqfEmVjPRsmWbt0zrSiOeo9ZvGXb8uo65G5PzOQeycCivbtnXbPaya9OxHnv/m13MihNMNAhikLgrcqu2jkze52wfGvC0xFJg4VTTCf7UFtVSE0V6XIcElEe5dTcRP4KSqrsTgKlCQY65Eh2FQtKdsXWnO7EvsyLNpbYnQSMsmDmKl/AEfeWYsPn6FCsvLX4PIVik4qNIG6ajCAVjz+ln4iBjoi0FJE5IrJQRJaKyIva8m9EZJ2ILND+9dCWi4h8ICJrRGSRiJyQ6C9BqStZ+ay3QFJeXRdhRf8/nXAzcrLKmuSOq7ESb/LpzYrWWp5C5OXGc4EBOqWCZibWqQZwtlKqXESaA/hHRP7U3ntMKfVTwPoXAOii/TsZwGDtfyLTOGAzPDPHJ9WOoe/7pNbXIoexMsBlsOwRa1aUYlkYgNT8TkROFrFFR3l458Zsrv0Ld6leCmCI9rlZAFqLSPv4k0rpyG0FhcQ/MNT8AXHCDdWK38/uU8AJx9EJ0u0wWPl9eQ5RtFKtoorILqbG6IhIUxFZAGAbgPFKqdnaWwO17mnvikgLbVkHAPm6j2/UlgVu8y4RyRaR7MJCZ00hTPZLdh5v9qYSOBbHyQ8MdcJt0oGHxTTvb+2E40jJY+V4OyfmC26SzsfPCflOOh9/Sh2mAh2lVL1SqgeAjgB6ikg3AE8COArASQD2A/CEtrrRpRF0zSqlPlNKZSqlMtu2bRtT4in1JWuQfxOX5ehOuAmakZgZrIjchbOukctuMUQpI6pZ15RSxQCmADhfKVWgdU+rBvA1gJ7aahsBdNJ9rCOA+KdeIkogszehoPWSPeVxFOs6oeeDE2eji5YTjiMlnxW/u69VMN3PoXT//jpuDHrT/vwlVzMz61pbEWmtvd4dwDkAVnjH3Yhn0MBlAJZoHxkF4CZt9rVTAJQopQoSknpKWW7JV9ft8H+IH28IqaPxOTr8UQG456KMU2BlRlVtPb6btT6m88DuqdEpsuS1tLiv0sd9KSYKZqZFpz2AySKyCMBceMbojAYwTEQWA1gMYH8Ar2jrjwGQC2ANgM8B3Gt5qinlJXvsi9mWh8C1Vm4ptT4xJtTVm5h1zQnFKwt/P++3qalrsG6jFFG6xnner/3WuJV49rclGLtkS9Tb8J7+DJbjk8jD56TC/BfTcpExIAsVkR5zQESmRZxeWim1CMDxBsvPDrG+AnBf/EkjokDe+/1jPy3EgufOszUtZlhRiAicaa6mPrmBDouoGieVCJOoqLIGAFARyzOhODADQOyVLil5+MIcim9m5AEAiipqkpMWojQQ1RgdIjKWrPuxt2a4uLLWxLqJTk1k0UyH7TTuTTk5jQMuRVdyQh5mFRdnhc7oHUAUIwY65EjJzlhj3V+yb8RuDhzilcxjXVlT5zsj2O1Ik2aHIfB3j2mMju+zFiQojSUy24snT62LoXXZzKnglPMljW83lEIY6JCjOa1gH5gehyXPcSzpuuZ7lby7f4NDChpOkuwug3YJusbjOIsbN8UTKh5OHaMzcm5+5JWi2I/fqcdThsgSDHTIkZxSoxVJYDoT3RIV3fTSLjmIEdj1LXy18Tbtn+xlxe/OehAPo6yopq4Bg/5cgbKq0N1wk1GRFM8+dsUwbitFsmUi12CgQ47mtIKC3S040ezfCfdTu4+XFVgwSS+JOGXT/RzaUVEdtOy3nE34ZOpavP3XKhtSZI2y6jpU1ZoLdqLLu5WjxsWk+/lL7sZAhxwtFQrKVormcGwu3pWwdJg1ZnH8j9Cy4xRQSvm6MPEeT0Bs5wHPIY912yuDlnm7QtrdJTKerokfTFyNiz78JyFpcUJw4bSu40SxYKBDZIHGh0vamw69v1dvtzsJnCaV3MuCZ3mxmOiRyG6089YX4YOJq2PfQJw/0ppt5VGt76SWGivZ2VX6+7kbkDEgi89YI0MMdMiR3Da+JJ5awYRx1yGMyK5Twm3nIlnLip+fp1AwM4ekXpsVZOXWspDrXDF4Jt4ZH3v3Nwfm3I45X9yS970xdiUAoDTMeC9KXwx0yNGS93wac+sFpscdtwH7WNL1waaSiBW7dUtBgSKL5XxobOnleRBKuONauqsuaelwAvYUI7IeAx1yJBYLUkMq3LfT/lxMswMQqrAZ0xgdcIxOSGkW/EXT6h/LkUlEMO2WMTrpdSZRtBjokKM5LaONlJxEZ7jRHI9U6wtu17eJpwCRZmW5lBRXFuTAsXtcblJfAAAgAElEQVRO4T0k4Y6v06eXjkW4c8HvMTo8Z0zz5tHOKi2QUzDQIUdiJh+/VDmGtt28tB3nbCi2KwVkIysqChqfxZQiF2MChGvpSKWCq8Pq7KLi9LO3MWh28UGmhGGgQ47m9Hxr/Y7gaVOpkRW/n9032ZJdsQ9wtTvtFL2QBe84fkxHTlZiMzMVMckouCb7t0lUnpCIii23nbVuSy8lBwMdoqj4Z6U/zcs3WpykvTufWwt4DFAarSkMPeNVKvMWHC2ZlCLNz6hw397plVlWsftr5helbqVcKvReUEpx0pIEYaBDjuQtGNh9c4ikwcH5koOTFhW7z4F47j2pcOP63+S1dichqawseEtj3zWKQSqO0THL6uB4WUGppdtzEt8YHYf+lmYc8uQYvPjHMruTkZIY6JAjKTMjVa3cn8n1ApPj5IKsI9Lm4hvP5uJdAICGeCYjsCoxNnLxT2gJK37D0qr0mibZDEfkT0j++W3me8dybBJ5NB3yU0Xk1h4EXt/MyLM7CSkpYqAjIi1FZI6ILBSRpSLyorb8EBGZLSKrReR7EdlNW95C+3uN9n5GYr8CkX0CW3QSfUNwc41VvJJ9s62q9TxluzrNn7adruecFefb7HVFAIBnf18S/8ZSlN2nV7IGsJvZTyLTEtOW7f5xTHJJHEY2MdOiUw3gbKXUcQB6ADhfRE4B8DqAd5VSXQDsBHC7tv7tAHYqpQ4H8K62HlFUnJpxBRZ+GpI8rWU0hS+nHsNoeW/+yawBtur3dEtNaHguKe0kSDzf3vv7l1Sm9xPbja4Dp1wayW/RSfIONSk9I5mvB4itqSCHihjoKI9y7c/m2j8F4GwAP2nLvwVwmfb6Uu1vaO/3lZS+wiiR3HbibCursjsJPsm6oYYLQNz2+3k5pRDmBE3c+iM6SZKO4U/zNmLKym3J2VmcfJM9hCkepOupl4gHhib6WDqhUoclTTJiaoyOiDQVkQUAtgEYD2AtgGKllLfj8UYAHbTXHQDkA4D2fgmANgbbvEtEskUku7CwML5vQSnHm2k6IO8Mq6Lav+/9tNXbE7o/J2bkYR+AZ2F6nX4uGLFztq0lm0pw0sAJ2FlRE9d2nHjOJZKbv+6jPy7ELV/PtTUNM9ZuR8aALL9l89YXBa330ujED7xesqkk4jrxjMGzmv7c69Jub2u3HceJ7fRZA52dusicMl4tVZkKdJRS9UqpHgA6AugJ4Gij1bT/jS6noF9RKfWZUipTKZXZtm1bs+mlNDFqwSYAwHcz82xNRyRmZl3LLSzHjvJqi/bo5mIYJdPHU9agsKwaM9buiGs7bh/ga5V4CnvpdASHzloftOzzaeti2la8Qfas3MjnfkVNfXw7SZDTDvfUD598yH6WbC+WY+mWa18luQs5uUtUs64ppYoBTAFwCoDWItJMe6sjgM3a640AOgGA9n4rAMHVOURheG8+m4ud0xUsVme/PRV93phsybacWLse9hkZFt56HPjVI2JFnXv5pri34MRz4nWbKPUGtT/777VbjFtLowOnE0u+wawmOeOQtpVWxfUQaSO8TySWmVnX2opIa+317gDOAbAcwGQAV2qr3Qzgd+31KO1vaO9PUmyXI4czf4rGdipXWlRrGGs2nltYHnmlBHBr1zWrc6zHflyI+4bNt3ajSZJOhXQg/b6v1cYt3WqwNMw4HIuPt5nuanYw9T1F/9LaAxPP9pxegktm8nq+OhF9Xp+UxD1SvMy06LQHMFlEFgGYC2C8Umo0gCcAPCIia+AZg/Oltv6XANpoyx8BMMD6ZBPZY9VW44AheVOUxva5s9+eam1CdBJdj5EKBc8f521E1uICu5MRk1Q4/rEIPK3jOc3d0gXI7fK2V+CiD//x/e30AnpoyuBVnNLgFEzWV7T6uViuPU1dolmkFZRSiwAcb7A8F57xOoHLqwBcZUnqKO05LW9+8pfFtu7fiQWmVMykrSrc21nQsmrfxjX0qcx511gqC5enRXsd7ohz4o1kCDt5S4K2G++2nV7Z0TiDn73pIGeKaowOEdnLbRm5pV3Xkhg0bNhRmbydBSgsq0bGgCzMWeeMoY1GYy7SkduuPScJd+wSeVwdNaOa9j3DTWrhnNT6c9BhNOQbT+fSSgqO7kgsBjpELuLEwlai8+hiGx62uHHnLku2E0tBKzvPE+B89U9sM1V5OfFccRMrT+tdtc6c2StZBMCMNdsxf8POqD8X1foBH3BSjO4thJvNEqy+fmM5FDPXeh6XMGRmnpVJoQAOOk1TEgMdIgskq0zpxBqrcDWUVqZ36qrkPW/Lqhq23MKK2NPA25+jsNI1diLAdV/Mxr8+npHU/TrpGjITuBiuYvIrRPquE5ZF3wV1fZGnZXtrqVWPR4hPVW09Hv1xYdDjGnhtUjgMdIgswHzWmJW1kmu2JW/mOKt+z1hadHxdXHhSOYITKxfcJuw4HEv3Y51f5m+0cGuNwl3W+vesPut2lEc/fslpZ/7P8zfip3kb8dZfK/2W+x7i6LQEm8S8PrEY6BDBGRnNoz8ujNxFwIEZefKOXfJ+JKv69se2Ha2LS5z7tup3abNnrM9AcSe3FpaczK5jauYaaLt3C8Plf1vcguw9BNG2FjupVco5Ak4oHiIKg4EOOZtLCh1WJPOneRvx3O9L49rPgvxiXDF4BqrSfExAvKzq2x9boOOsu/ZJGdY8mT1avy/YhPPf+9uWfZO17MrGzQQVodJm9VXofQRB+AcsB69vViIqnKJJQ3JzLeO9ubWSgsFsYjHQIbJAsmb3iXTjeea3xZi3fidWh3jej5FULFBuLa3Csc+Pw4otpTF93qoxOvUN0X9m0J8rAAC7LHrIbLwW2/QAxodGLsCKLWW27BsweI6OPclICWEL9wksnMZzGVs9kUFji07odYzemptnbgKHX+ZvijpNbhOqCyQDBQqHgQ45mlsqaFo2b2rZtsYu2YKiEM+DSMTxiLdAGfa5EDZVsU1YvhVl1XX4dsZ6W/bvFUvAlKdNbV1ebc1D6eL9CdJt6tPAw+WdMa3Cot/DSa77fBbuGpKd8P0UlFSFfM/KPCJwW94zd/2O2CcFsUyCs8Knfg3/jLdYDrNT77+hHubr1vF0aZbFJh0DnTRQXVePddsdkNHHwOnXf4fWuwOwtlby7qHzcMe3cw3fS2ztZ+Sj/fGUNfjf5DWJS4RF4r1xWDdGx5LNxCXer2JXsGo/z4EbtXAzAODLOKf7dqIZa3fgrxhm43ILpYApK7fhjDen+H7HoHVCftYBFy/5iZQVpW1WRWEx0EkDT/6yGGe9NQUlu5L/PJJ4OT3f8haIra5J2lBk/BwXu4/HG2NX4s1xgTPeOLdAEOuNz6oyTjyFpSZ2/9iadCs8hArs3Pzg1Fm5O7Bqq33dAMMJd3q13iO6iTACZ2ZUUFhe4PneS6Psgpm4OMfMhq2/6GL5Pm659t17ZVIyMNBJA9PXeB76VVmTel0v7OYLdJJ0Q3Bb7bptg5Dj/LxVhdp6l9cK93v3b0senlpeXYeMAVn4/O9cC1JlDzf/ktd8Ngvnveu+cXi7NfMUUULNjKanlMK2sqqAZbo/osyMrK7AMTNGR793q8Vy63Bq5Whw1zVvhaM7ufw24XgMdIji4C0PJ++BocGu/WwW3h2/Ku5tx5rZJjKT1ne5DDVuKZxYf5eX/lgW4yf9ubgRAACw0qJWAO8D/r6bZe+YqWjEel5nLSpAxoCslBzTk0g7K2owepFx9zIjNXUNQZV3RgXgWAMWq/O1aCqp6hyScdTWm0vHvz+diWd+Cz9GyAqRjqDbKgIpORjopAG3DtBzA29hJmm3JYOfcmbuDrw/cXWyUhAk3HefGuezKH6e1/jQvvkbiuPaVjTKLCqkxjPWx6qbtpPu/RuKKlFW5cxa4kBFldEH1gDw7gRPpcPm4vhbwqzQ4JBCcyjFlZ7z4d5h83H/8By/4xau6+e/Bk/HMc+N060bvE6Din2geqIqcMJtdr02EcmbY1eGWSu06jprZ2o0+wytOeuKMGJOvqX7DicweHX2GR6Zk7t/pwIGOpSWlFIYv2wr6sLM/7t4YwnuGz4/bDemSodMAey1bLNnOuVYuimmVFZrU18ApZT/oPU4kmFVfOKEbhH6NNwzdL59CTHhr6VbAAA5AYG12eNoZlzW1FWFmLfe3LTB8Zq+drup9V4dszxpadL7PttTQN6kBTi1BnlyYVl10LIlmyJPHa+vaIg24Lej65r3XjN/w86Yxvcd+czYGFIWWu8u+1u6vXiF+g29h+rGL2cnLzHkGgx0HGbNtvKE1QQ6ocATrUQ1RU9ZVYg7h2Tjg0mhZxC7Z9g8ZC0qiPr3mLjcilmMQjwQLULx1xuT5eQnr/UjkbMTRVPYaGhQ2F7uXyAKd/qMWrgZawvNP28o0JCZebj9G//Z8VZsKcPLoxu7vXXYd/eYtx/o3Hem4qy3pgSNQ3CK3MLyoBn58osqg86PZQWxPdsoWX7UtSLGwvttw+VdN381B1cMnhHXfgDPtTdz7Q5PF60Q12FNnbmHOX32dy6uGDwDfd6YhKs+mYHrv5jl63IYSk1dA96bsMqSBxR7r/XAa9j854MNmbk+4viNUMfH+q5r2nZN5GlN45iJZMzigpg/G5QOJzUHA5i4fBsAYHGIIHfG2h0Rt6GUwvKCUjz/+xJs3Flpet+19Q2Wt5g1pikhmwXgqbixowLDSRjoOMw570zFaYMmWbrNxgw2NYxfthUr43yQ4Nx1RQCA7+duiLiumf7S+ozq9m+zE9Y/36i2M1J6zIo1YHHKefXgyBxkvjLBdKb+4IgcnPPOVDQ0KHz1zzpkDMiKan/P/b4UE1ds81sWWGiy8ga2els51m2vQM+BE1HfoEzfdMOVVf7zXXbU3zuUaz+fhTfHrUSJ1hVpyaYS9HljMr6ZkedXs56sh+taz1y6fV2lElBGzNmw0+8c+3jKWlz7+Sz8PH9TyHNtU5QVNflFuzA3byemr9mBE1+ZEDaIGTZ7Pd6bsBofT1kb1T5C7RcAHhyxIO5teZVX1xn+HiWVtbjl6zkoLKsOOeC+2mSAaJa3ksrM6R9PBd+9w4xbTM1s8t3xq/zyg9Kq4PvY19PXYXbuDlsmKpiy0tMVenkclSW/zN+EC96fhm9nrscj3y80/bnz3v3b8hYzr2hzxC0lVaiqrcfvCzZFfHTIXd/NwxWDZ7j2ESNWiBjoiEgnEZksIstFZKmIPKQtf0FENonIAu3fhbrPPCkia0RkpYj0S+QXcLudFTV4d/wqx/ejThalFPKLGmtZjDLnO4dko9978c0gNEcLdLaWhq499LbkvK49qT4aiRpManY2sNfHRp/mSN4cZ/02I4mmTDx6kacm89sZeaZvHEoBv+RswkujrZl8IFA8hfp12yuwdHMJ/lkd3PXo7qHzYrrpNjQovyB83FL/1sexSwrCViJkLSrAjBBdoapqPQVDb411rnZjnb5mB85+e6pvvXhmtNsZw4QUkdTWN2BJlFMPh6KU8hUorIpzdum6x17+8Qy8Oma572/vVO8bivxrpr3HOL+oEs/9vjSu/S8I0zrsDbqsaNHxirlFRym02r15yPf1reHD52zAlJWF+GJa6FkA9eMLrWi19t7LVm0tQ2mEcWp2taMEjvU0ui5e/GMZrv5sFo578a+og52GBoX//tAYXGQMyMI7ESbS2VVT79uPvjVs0cbQ5+Wumnqs2OIJhurqGzBizgbfNaFvUY4mf05WoPD19HVB55tSCgUljRUWp7w2EfcMnYeHRi7Aue9MDdyEof/+YF0FgtuYadGpA/BfpdTRAE4BcJ+IHKO9965Sqof2bwwAaO9dA6ArgPMBfCwi1j02PsU8/dtivD9xNaatMdeP2ozt5dVhx5442Yg5+ejzxuSk7zfUQFYAmLUucnN48AbjS8/2cuMCXZM4H66Ss2EnMgZkYWF+Marr6v1uMqEeqOf1v8nGtbbJqqDfczdz2YhC46DeobMit9g9+qP5Wr1I3cYCD0WDCm55mbBsa8RjDQA7KmrQ/4N/cINBv/PxUT7k8fovZiFjQBZezlqGrs+PMyyY3jd8Pu4eOh/93vsbSilsLQ3+rvcNn4/rPm9MT219A8YuKQi6Me+sqMGDI3IAABMCunI2NCiMXVKAWbn+19U/q7cbFpwmrfB8ft76nTj+5fGewtFfKw0Li6MWbkbv1ydFVXE0MGs5LvrwH+QWloftytiggNGLNmPllrKQBV/9+KzA8XsZA7L8KnEimba6EBkDsnDsC+P8li/bXIptpVV4YZQugFH+HaIOe2oMAJieGjxcxcgnU9eiuq4e38/dEHTMvYX3hgaFjyattqR1MJ6WlKPb7x20zOiX8h2tJEUUT/6yGCu0CoSHRi7A9Z+HH0sSruvatrIqTIjhIa8NMRzWSLebH+ZGNwFBYXk1fp7v3zX0gwgT6ZzzzlQc9+JfQcsv+Wg6Zufu8KsI8HpwZA7Of28aKqrr8NX0dXjyl8UYMcdzL9BfuvpzY8aa7WEDXyuUVNYaplefn7z4x7KgLnifTM3Fqa9NQq4uf5qstW6ZrVRN56r0iIGOUqpAKTVfe10GYDmADmE+cimAkUqpaqXUOgBrAPS0IrGpqKLac9KHujE3NITuex1oW1kV8osqkfnKBDyrq8VrHATp/FM9sNuRd0Yer2jHJ3w3Mw8ZA7Lwp67fcp83JiFbtx+j7mA/Zjdm4JHuhbNzgwMhqwayzly7A/cOm+f77ZrGeWOepHW1mrqqEN/NXO93k3nkB/MF/kTYUV6NDTv8C4L6Qo/ZhwfW1jUk7Cn2PQdODFpWULILA7OWGV6rSgF3fzfPb9kdQ7Lx4IgcfDczD2u2Je4hjt6k3DtsPqav8ZyjX0/PA+Cpgf90qn/gmrWo8Rp55rclOPnV4O8a6L0Jq3D30Pl4cOQCX+XKFYNn4PiXx4f8TIMC7h46H9d8Nsu3rLiyBjd8ORv3DJ2HH+bm4+MpjWN9bvsmG1NXFWKxrgb3g0lr8LyWx41fthUZA7KwtrAcj/+0EBt37sKhT43Bj9n5psZgLdS2u7W0Gn3f9q8d1QcmRRU1uH94Dvq99zcOeXKM4bam6yqsLvrwn5D78lq/I3Qt8R9aMBxYkJmTV4Ser07ENzPyfMtC5TaBLeLT12w3nAlxcJiuZ1NWFuLIZ8biiZ8Xo/sLfyFjQBZ+X7AJDQ0Kr47xBEhVdfV466/4p7jX6zVoEnq/3ljplZ1XhIwBWbhn6DzD9UPVuIfrSmg2II63hd5byPZabNBSoq98aBKmn9k1n87CHUOyo24ZHatNsqH39fR1+CE7dLCyuST8/Tba54SFO89CCdf1cnPJLmwuCX7fe0+urW9AUYWnDFGyqxb5RZXYFaL18bovZuOVrOWG7+WFac255rOZYadFr6tvwNw8Tw+S4176C33fngLAM2HQ0FnrDctlgZVj3oqIG7+cE7E1MBT95Cr1DQp93piE9TsqUFplHHylkmbRrCwiGQCOBzAbQC8A94vITQCy4Wn12QlPEDRL97GNMAiMROQuAHcBwMEHHxxD0pOjqrYexZW1OLBVy8TuKES+duhTY3DqoW0w4q5TIm5CXwgbt3QLXvvXsValztCGHZVYsaUU53U9EBt2VKJJE6DjvnskdJ9+tZgGvAWHzm32BABfwHfPsPnIG9QfQGNfcK8X/1iK7WX+LSiP/bTIdJqu/mwW7j7jsKDlSqmQ/aXNyC+qxLWfey6licu34Y4h2X7vl1XVYu+WobtqRGJZ5qbl0yu2lKK6Nvba2FMHTUJNXYPvdwL8a8iLDab7/XDiatTWN+CR8470LSurTm7f8f/+sBAz1u7AuccciGYBkWjJrlpfzVugZ39fit2aNcGqVy6IuI/VJp5nU1Fdh4X5xXjq18XYs0UzdGgdeiKE7eU1eC1Ml8xhsyO3hAGNLQZ/6Fqo1haG7+JhVEDzdoFava0cj/8cfO19MHE12gfkwb/mbMLxB7f2VY4szC/2q631XsPj/+90dDlgb/wyfyMOb7cXjm6/D5o3bYJdNfUorar1tdw+P2pJ0H7NtC57Z3Dse/QBEas33hm/Chd2a+/7+7Zv5mLif880XDdcYTdQ1qICPNS3S9DywC1c/4WnJeGakzqhzV7mKg6M/Jqzya8SykzLaTiBFVhlVbVBBdwrP5kJAPhzyRbDwmHOhmIc1m7PoOXeAef6SjTvxz+fZq5C5LuZ63Fb70NMrRur+3T3ilBdqtbvqPB1CbWiMepF7Xlh/87sFNPnQ42HrG9QqKqtxxWDZ+Dp/kejoLgKs3J34JecTYbrfzxlDdru1QJXZXbCF9NyMWz2BvzxQG801+WnSqmg5/qEirN8E4JAfJWOSinTvUW2lVV5rumjDsCBrVrizLemhFx3Vm4RZuUWoaauARn774kTDt7X7/13xq/Cx1PW4uPrTwDQGDy+9McyjJybj85t9sBxnVqbStem4l149rfgfCpQUUUN9t2jedBYr/yiSnTabw+8MXYF8ot24Yw3G7/XO/8+Dv86oSMAYFtpFRZvKkHfow8wlS6nMx3oiMheAH4G8LBSqlREBgN4GZ5z6mUAbwO4DcbXX9DpqJT6DMBnAJCZmenYpoajnvX0gx/9QG9069DK8u2b+eIzDVoMIm7XIAfo/fpkv0JkODvKq7G1tBrHHLRPyHXOeXeqr2B6+pueDMTs9vW+nZGHiSu2YchtPbFya/hBhnUBGV1Dg8Km4l3otJ8nwPJeuP+77gQMn2Pu4YSRbtJ1DQrP/LYYV2iZgJHAfuVbSqvQrGkT/LkkuBbNLH2mbFT4O/aFv/DlzZlRbdNbM6kUorpTjl0SeiYf743k/Pemhd1Gt+fHYdrjZ2HfEM9mCBzI//sC/5tihUFg9rbW9U4f6AQWEJVSEBH8vmATzjyyHVrt3jymh4/q3fFtY9Dp7WbQoBSU8t/3zV/N8fs7cL81dQ1YsaUURx3ouc5CTWJxboin2s9bvxMndvbcWLs+79/Faenm0NfSOQH9uqOtHZ63fie2llZhdm5RVJ8DgBpdC2rGgCwMvf1kHHHAXhH3Z0Q//uTTqbmGBcRQx87LW5hatTW2GfjGLd2Ku4fOQ89D9vON/Qslt7DCryusNyjcWVGDJk3Eb4zJyCi6BeVurwg6t0qranH1Z7MM149m26FEO8lBOIEtpce+ENxVSc+opeGDSavx/jU9gpZ7W9nMzMgViv7Ymp8QRmHp5lJT5QallN/EJgUG32/JphK/VsL5G3bioDCVGeHSWt+ggq75SDPsGQnVinbXkGzf93nkh4WG04PrvaE9N+jQtnv6WlW6BeRnRq2oj/ywEGMf7hO8Qe2rldfU4dOpnu5oRi2ORpV92XlFvqD6uwPXY+zDp4dMt/4a8PaIyBvUH3PWFaGiug7rd1T4ZooLrPT0dg3O216BA/cJrkivq29A0yYSFKz8viC49ejDiavxgFbRsWZbOc55Zyp2a9Yk6J7a543JGP1Ab8Ou8Y/8sBCHt9sLeTsq8da4ldhQVIncVy/EEz8vwpEH7o3bex/i2geymgp0RKQ5PEHOMKXULwCglNqqe/9zAKO1PzcC0FcPdARg/nHHDrG9vBqZr0zw/X3Rh//EVIj3yi+qxO67NcX+e7UwfF8QfkBnzoadOD6gpkDvP99lBy37NWcjJq8oDHly1tU3oGRXLdoYpOn896ehsKza952VUpiVW4RTDt3Pt71w05b+ubgA7fZpgRM77+e3XCmFypp67NmiGcYuKUBhWTWe11ppHhiRY1hDU1ffgIFjluPr6XlB4zROfGU8dlbWYsIjZ+Dwdo2FpfuGB7ekPDwyB78ZZBKBygMKm2VVdRg6a0PYgCiwgHr+e9Ow+IXz/JbpC7SBcjaEnyksVME8mpv3Ec/86fvNxi7dgn5dzdXWzFy7A3cHPPvkqk/8p8adr0v/bb0OwVfTg2tKy6vrkL1+J8495gDU1jegmUEmrvf+hNgeghq4zUOeHINPbjgBD41cgG4d9sHnN2XGXKgFPF3VAsedAJ6CyLEBhZrALi9Gk2h4A8SnLjzK1xXIrJwNOzFs9noc1jZ8oBBJYOATiRVTI3vd8OVs/HzPaXFvZ6WJVi8jZp/+HkqhVkCMFOR4XWcwPsPb1a/jvrvj8uM7YO+WUXW2AAD0DOhq2D1CsBCPraXVvhmw7NDLYGZSs+ORAIScUOPvVYU4/Yi2vpkDjRQUh+7OVVVbj7+WbcXF3dtjyMz1eH7UUgy9/WTDdccuKcCRB+6DQ/bf07BSIjsguA+ccMJbGA/n4ZH+A9CVUpi6qhCvjVnhd70MnbUe3TtGX5HbrIkYPgBYH7RFCnL0rhgc+TsFMqpg8z7w2eg80VtWUIqMAVnoeUhjOUV/XFeEmZhlxZZSw32/MGqpX7dSI/lFlb57w7MGk4UoBRz+9J+4OrMTnrv4mKD3A709fhXuPP1QtGze1NfNLlT57LL/TQ9ZgX3JR9P9/p6xdodvuv3SXbV+FYpuYmbWNQHwJYDlSql3dMvb61a7HIC3PW0UgGtEpIWIHAKgCwD/ak2Hq66rx0chnq9y01dzfAM9o9Hnjcm+wGlbWZWvBUDf8uJtPfLSF34v/7ixYLG2sDxoxpHA2ZMUgP/7fmHYQc/P/LYEJ74yAcWVNUEXhTdzWre9Qpu1JB/Xfj7LN7NVODvKq3HPsPmGmdbQWevR9flxyC+qxN1D5/td5H8s3GxYoH9wZI5vbIG+Vv+hkTnYqd2QRi/ajIsN+sTrmQlyAKBfhBpgIzsNulUFVpKf/940DJ0V3MpUVVvv9/tGQ1/T/cxvi8Ouq/+NlxeU4j2TgYS3+5ze3LzG/a7bXoF/6dLfonn4bKW4sgZdnv4Tn/6di4rqOsNZxYDGWbvM0AenfxuMQfAGaks2leLU1yaF7ZceyamvGd88v5i2Dg+NDD+zTbibfrRBDgC8krUcv8zf5Jt9K1Z2Tz36znhP+qMpFJSqxzcAACAASURBVNnNl9Y4xz7qW4M37tyFDyetielcSKZ4pve1U8aALGQMyPKNWQt001dzUFvfgONe8g8SzUzlPmddER7/aREeHJGDQ54c4ztGgQGK191D5+Ost6ZgzbZyw1kfA6/pWOrSA8cCjVq4Gbd8PTeoUuCZ35b4Wh5C2VS8C9l5/sG8UsCijdbMWGgVozFokYSrpAg1wcb6Hca/a6QgB/CUB8PN9Oi9h32fnR/UUh+Kt5dBpOeU1TUo07+ZfiKccM8cdDoz1Ua9ANwIYLGIeO/iTwG4VkR6wFOmzgPwHwBQSi0VkR8ALINnxrb7lFKuGukUatrWjyatNixE6Q2bvR5P/7oEv957GhoUfN1K9LzN9HmD+vsKaEY124EZ3X9/WIibT+vsi7q9rS2RLuxQXQy83Rd6vOSpTcx59lz8+9OZ+OTGE33rnPXWFNzW6xDf2INNxbvwyuhlIaeVLNlVixN1LWETlm1F/s5K/G/yWmQ/c47vBn75x9MNP2/UZD9msXH3L30TrtlCuxmxdMkwmtHm5FcnBC175rcluLTHQdi7ZXNU1dajoKQqrr7y+qlf4+0nr1dT14CFG4uRaXD+BgoM0kaFCSinrNyGN7SBle9PWI1FG4sxZvEWTHv8rKjS5+2O5nVbwIM7I8kyEbBHa4vBLGVkzs6K5D+TI14nDZyAx/odiT/DdOs0418xVnJQYnR5+s+gZZ9PW4en+3tq1o0Gg9c3KPz7U/+KPW/2ZDR7od620qqIrYGzc3f4PYg4knuHzTO8b4Zr9Yr0/LHer08KiulXbi2zbGp2qwR2F06U+RF6YUSyM0yr4bczzXW71/tH66IZabrudBQx0FFK/QPjyoSQzRpKqYEABsaRLtuE638b2MezvLoOTUWwu6471Vfa4Glv4S9vUP+QU4oqpXwzYRgd4MBuST/P34hfchqnZrxrSDY+uynTMKMJnK0scL/6Gnkvb/eJwJmHZubuQK/D2gDwTDf5RcCMVvqZgwKngdQPoJ+xdrtvxpNQ0ye7ldHsM1UhBubf8MVs/H5/bzwwIgfjl23FnKf7Jjp5po2YswHX9jwYN3wxG3PyinDUgcHTtUYSLlDUD3LfVVvvuxlv09Xkry0sxwEGfZb1lm4u9RvrY7bbEDlTpFpIp4q3JQ0IXeNP0fvVYLB7qFm2YjFj7Xbc+W1wN/F3DQqXI+Z4KhIDn00TyMy4h1BjrUIJVTkY7nz9J8IjLkI1XA6fY10Fm5t4x/44iXfiDfIXfUfgFGdUm2PEOzCwRbMmWKmbNSkwL1iYX4xL/9fYejFcV9DTT515U0AtxE/z/Oea921ft4O/lm3FbznRd1s54eXxYWsTAi0vKEVnbbD/WIPB9bcbZPxGjPqmp4poBnMv3FiCZZtLfc9C+T3HOUPYnvxlMT6duhZ5WrN8uD7KVtKP+ej79lS0jND97ZKP/kHbvY3HuxFRejJq1Y7mXhfO0s0lIe9hZp6LlapCdeGi5NOXKamROOHZKpmZmSo721xhOdHMPvCs71HtfAPu8gb1t+RBabHo0Hp3S2e/odh079jKcX2ViYjI2drt3cKvRZvIqeKZkMtKIjJPKWV6ytmIkxGQMf2sInYFOYC1U3xS7OJ5fgwREaUnBjlEicVAh8gCsU5tS0RERESJwUCHiIiIiIhSDgMdIiIiIiJKOQx0iIiIiIgo5TDQISIiIiKilMNAh4iIiIiIUg4DHSIiIiIiSjkMdHSc8PBUIiIiIiKKHwMdnQbGOUREREREKYGBjk4DW3SIiIiIiFICAx0dBjpERERERKmBgY4O4xwiIiIiotTAQEeHLTpERERERKkhYqAjIp1EZLKILBeRpSLykLZ8PxEZLyKrtf/31ZaLiHwgImtEZJGInJDoL2GVZk0Y9xERBerX9QC7k0BERBQ1MyX7OgD/VUodDeAUAPeJyDEABgCYqJTqAmCi9jcAXACgi/bvLgCDLU91guzWjIEOpZ6TD9nP7iSQi+3dohk+vTETw+442e6kpK1rTupkdxKIiFwpYsleKVWglJqvvS4DsBxABwCXAvhWW+1bAJdpry8FMER5zALQWkTaW55yIjLl0LZ72p0EcrH2rVsCAHodvn9Mn7//rMOxd8tmViYp7Qy6ojvevfo4y7f7TP+j8edDfSz9fc48si0mPHIGvr71JMu2SUQUq6iaMEQkA8DxAGYDOEApVQB4giEA7bTVOgDI131so7YscFt3iUi2iGQXFhZGn3Iiiqj34fvj+Yu72p0McoA3ruyOGQPOxuXHB2XHYQ25zXxLzn/OOBRnHtnWb5kIMOr+3njtX8dGtV8jF3Vvj4w2e8S9nXh0PWifqNZ/66rj8PKl8V+DRx7QuN9Ljjso6s9/f9cpQcuu6Xkwjm6/Dxa/0A9ZD/bGtT09LUeP9TvScBvt9m4RcT+v/etYHN5uL5x1ZDvcclpG1OkkitfC586zOwkp58kLjrI7CTEzHeiIyF4AfgbwsFKqNNyqBsuCRvkrpT5TSmUqpTLbtm1r8BFKVx9f75phXY739a0noWXzpnYngxygZ8Z+OKj17njzyu5B7512WBu8eElwYTzn2XNxYKuWEbfdp4untefJC47GN7f2xM/3nOrbT7+uB+KQ/ffEtT0Pxog7/QvbTXR3ix6dWkfcz0fXnYAzj/TUqZ3f9UAAnuDqwbMPBwDcc+ZhEbcRzp19DjFc/tf/nY7dtevo13t7RbXNK0/siBtPzcCPd5/qW/b0hUeb/nzeoP4AgGMO2gfD7zgZZxzRFm9eFfwbhnPLaRk4+dA2fsvWvXYh9mrR2JLT9aBWGHjZsfjkhhNwb4jj+PfjZ+HPh/oYvte5zR745IYT0b7V7r5lL1zSFf27J65Dx/577WbJdla9cgGDsgCtdm+e1P2teuWCuD7/yQ2N5YZWezTHh9ceH2+SLHHfWY3X0gkHR87jQnmm/9FY++qFcaXlkXOPiOlzox/ojf+cEV/eaidTgY6INIcnyBmmlPpFW7zV2yVN+3+btnwjAH2H4o4ANluTXHKDXoe3ibxSCMcf3BoXHhv7jVG/7/OOcd8A6pWvnO8r2FiheVPjS/zWXhmW7SOZurTbK+I6uzVtgmf6H43sZ84JuU7L5v7H5dvbevpej36gd+wJjEIsAf1hWjfEr289Cdec1AkfXXc8XrmsG44LCBLa7Llb0D467OspgDZr2gTznjkH7Vu1xOgHeiP31Qsx/M5TcPNpGch6sDdmPdnX9xkxqrYy8N3tJ/udtyd23g9XZXZC3qD+6NahlW/5qYe1wUhdy8KTFzQW+B89z7gV4cgD9vb725s/PHROFyx9sR+e6HcUHjnvSMx75hxc1qODbr0DMeXRM00FUF6P9TsKL17SFWsGXoBR9/fCEQd4zreWzZril3tPw8PndDEcy7lb0yb49MYT8cVNmX7Lpz52pu/1SRmNY+XuPP3QoLFzZlqKTjt8f3x7W0+0aBZd5cVzFx0DAPj5nsZgSwx+3CZNBOd3a+/33k2ndgbgaRFs2bwpjm7fmM6Vr5yP0Q/0xqPnHYFxD5+O87sdGLTND6453pcve89Lr8DfNlCkazH7mXMNl+vTaMZuzZrghUu6YoguH0h37SNUcPxy72mmtqMPpvMG9cdXt3iukaszO+GTG07A3WcchreuOi7uMdLnHO1/v+8fUI64yETA3aH17hHXiVZGm8au40PDjHOcPuDssMH2HX0ORdMm/tds/2Pb4xgT53reoP7IG9QfD/btEjnBAd68srtfHu5GZmZdEwBfAliulHpH99YoADdrr28G8Ltu+U3a7GunACjxdnGj9PDSpd0Ml195Ysewnzux876ma0v3adnMV+ht3rTx4h92xylY++qFWPJiP3x2UyY+ueEEvHFld19NytpXL0TvEGMNepoctH/TqZ0tDUb0fe+9BZhPbzwRV5zQeLzeuLK7pTVUz1/c1bArixn/d05stUKxyhvU3/ebRRonsu8ezbFq4AW4o8+h2H+v4G42fbrsj24d9sGSF/ohb1B/fHFTJiY8cgbOOKItvr7lJAy8vBu6dWiF+c+eiwmPnOEr6OcN6o81A+OrcQz8Thce2x7f3R66YHWVdr3crBU0pzx6JsY81AdLX+yHs45sh0FXdMdF3Q/CDad09g1W73V4G3x8/QnYo4XnPNIXrvVBb5u9WmDmk33RrUMrNNHdPLse1AoHtmoZstChDxqGazft5y8+Jqrv3kRXiL5FF3B33Ne4kOHdfveOnpttz0P2Q96g/ji6/T7Ys0UzX/rb6H7v/fdqgY+vPxEZ+++JIbf3xGmHha58efVyT5e6Uw9tg92aNcHNp2WgWdMm6N6xNX665zR8csOJOLjNHji6/T542ODcH3JbT8x+qi/6dT0Q5xxzAKYPOBtPXXgUPrrueHRuE3p83HvX9MB+WsH/6Pb7IOvBPpj2+FkY9/DpIT+j583T8gb1x5c3ewqP+lYjr+M6tfYdoxM774f3r+mBR8+LfA2/8+/jcEz7ffDSpd0w4ZEzfOcjAFzb82AAnvyqW4dWuP/sLiFbjps2EXxx00kY9/Dp+OOB3vjw2uPxYN8u6Ljv7r6uct7z7YZTDvYVsP+d2RHdOrTytdYFGh6m0PjE+cZBcyTHdfQPivX3lkC39srAZT3MdSFst3cLvxaHUJ69qPFaChXkRQoOjWR23jdo2W/39fLbX6CuB4Uv3B68n3EX0ou6t8fg60/A5EfPxJyn+2LJi/383j/ryHb46pZMDLy8G87v1h4DLjjKVzbw5od77GYukNePLWsSELiLALf1amyh1eeFoXTcd3dcnek/8Yf3Gv3sxhNDfq5FmCBNX2mwx27N8PoVx+LzmzJx1+mH4vbejenr0Hp3vHBJ16Df/Ynzj/KriNO7+Lj2aB5m33vu1hQDL/cvj72htbRfHND9NefZ4EqD0Q/0xlWZ7p8IxcwIxF4AbgSwWEQWaMueAjAIwA8icjuADQCu0t4bA+BCAGsAVAK41dIUJ9jLl3bFs78vBeCZbaisus6ybV/UvT1GL3J+zJc3qD8yBmTF9Nmf7j4Vh7UNrnVf99qF+GRqru/v/113Au4bPh/nHN0OE5Zvw4uXdMWNp3T2vX/zqZ1RrxSGztoAAJj86Jk4660pAIAlL/bDXi2aQSmF+4fn4LqTD8aqrWX4IXsjAM+N1VuLdH43Ty3OZT06YFdNPZo2EQy942RsK6tCz4ET/dL4eL8jceUnM33HAIDfcWjfqiUKSqp8XXmeu+gYvDR6meFxmPLomThTS+/P95yKKwbPDHnMLjy2PX7L2YypqxrHqvXreiD6dT0Qd59xKDruuwd21zL+B0bkhNyOWf8541AACOrKYsYX/9/encdHVZ0NHP+dzEz2jawQEkJWEtYAoRACAQKyqqBV6wZWVEoFF3B5wZ1arba+aute91YtfdVq1aosgqUgoigEULawVQSJbAFki+S8f9w7l1lDQpJJGJ/v5zOfTG4uw51nTs49z9kyoZhhnVN5ZP6GU547riiNt1c2zWDu0MIUFlfuRtfxt67uPLuz34bHk5f1YkBeErHh7tMxhrmM+g0pSLGeJ0SFkhAVylezRlh/SNhXD/gz43uTlRTFjbNX8vXOA9wyohN/mLMegAiHjZhwO1UHj7n9G2ePJkBilP81D84bd0G7WLfEOsxHrT2sMJWHYzZw9zldyE+NoUtaLO+t2klyTJjfqUZ1iY9wUHXwGMpjJvJr1/Sl+kiNNT3pdBL+4sw2TCrLZmJpllvy5WuK3MKbB1sNjasHZp/ytZ0NDudIDEBsuIPnr+hD4V0fup2bmRjJtj2HiTKTwvY+Eq3YcIfPUYr3rx/I6D/9B4CyfPep1+3jI5hU5nuaxwPnd6Od2WvcLi6CL83GhbNcZ3g0Hv85xX/Hz98m9eNoTS0AQwtTrc/i4Yt6UJafzLmPLWZH9VGv1xhbVL81Wuf3Sud8s7Ml12Mk9Xfnd2vQmquIUBud2hoN9DTz/U8/K58Xl2wB4JI+GUwenEO7uAh6Z25n2t8rrMRpSnkubaJCGdOtHa98uo0/LagEjNEtMBqnl/fLZNnmPSxcb9ShmpOfr6dB+cluda2ruEgHWx8Yw8pv9rNg7S6mD+9E4Z0fcqTmhNe5aXERXiNUADcPz+ehuUb9eNvoAu5/fx3zpg0iLtLBG5NLWLZlL59s2s2Syj1e//aqAVnca95T/PWiz5lmJMLb9x1m7ONLKMtP5q0V3wLw2CU9fd4jZk/qR+7tH1j/x/OLt5AYFcpVA7IozU1k5KP/8fo3/bITePPL7QwrTGVoYQoz/7EaMDYXGVuU5tWRdG6PNN6p2EFeSgyjfMzKcHYkKqUoL/A922JgXjJLZ5ZzrKbWun96+uCGgTyxsJL3Vu2kX3Yi877eBeDWYeP8f+46pzMJUQ4emruBc3ukseeH45TlJdElLY6Xl27lgQ/WefwbuO+8rqz97gCrtlfz4i/7MLhTMkdraq17MBiJa9XBY6y7dySPL6hkQkkmP7v/ZHti9qR+7D50jKmvrfAauf1FH6OT4Czz3lOam8ihYyfLV7K5Du7yfh3ITormytKOPu89zt/3kpwkesya6/Xzd6cOoFu6dxm6qDiDi4ozqDlRy7sVO7CFKGtKXI/0OCq2VwMwb1oZeaeRVLdGp0x0tNaL8b3uBmCo5wFt1NhTGnldLWZ8SUcG5adQ9oeFDClIoSQn0foFb6xhhalWorPizrN4f81Obn9rTZO8NhhDxIc8ErP81Gh+d343TtTCRc+4N7anDMnhiYWb6nzNP4/vzaS/flHva/CV5IBR6Uwqy+bBD42KZUz3dozpPgatNcu27KWfR6N7ljkq5Ex00ttEkBQdysxRhVYSo5TiCXNqTmluEleW+p5fD0aPoWsvdUqMd6Mq27x21xGWoQUpfLSuih7pcfTPTeKpjzdZDd+JA7K8Ep3V9wznxxOaNi43wN6ZRkU3KD+ZZ8b3puBO9waXTSmeGd+b/YdrvK7Js6JZdc9wXly81SvRaB8fwbf7j1jfvzO11GevfGNHopz17fSz8tlYdYh3K/wnMo9e3JNPN+/luwNH3Y6X5ia63eSfv6KY+MhQfv7UJ35f68LiDJZv3cd1Q/N4eek2wOiZykqKovpwDU98XMmV/Tt63eycIhw2rySnPiJDT1aRnq8cE2ZnhLlO5G+T+vHfPYfplh7HxNIsCu/6EI0m2kei43qT79zAhe3+JMeE8fntJ6fqZSZGMWWI0RPe0Gk8YLyfD1bvJC7SPWaRoXa3mJyOkBDFbT7WqIQ7bGy8bxR5ZoMMICvJGBGpb7ntmBTFQxf2oNwlaQWjof2v6wdw+XPLuPucLrxTsYPk6DC27TlM/5wknrysF0M6pfh5VW+d02KZO63Mq749lYvNkRBPng2ZmHA7thDlNSXRVZjd5nMKmzM5mX/TIA4f926gtyaunQjO5Pmc7mls2X2YSWVGYhtmt1l1+/ThnaxEx2nx/5QDML5fJl3ungMYScgbk/vT5775Xv/n05f3ZsSji/jvXu8kyKkoI94avVwyo5xe987zOufC4nQiQ+1WUnPryE5cOziXqoNHrWOTynLckt7ijgkUd0ygKCPeK9FxjhjfMabQuk/+ZmwX7jI7Xj2lt4nkCzNRfujCHmitsdtC6JAQydgnlgDuvzdzbiwjzB5ijqR1sJLqgraxvDt1AOc8vpgIh40jNSfIS4kmxqwvlTJG8B78cB37D9cwsmtbnw3gP15cxLieaZTlea+53nz/6HpPg3WWg/nTBzHs4X/TPj6CJTPK3c757biuLNuyl+vKcxnRpS1/WboVMEaE4iPck88pQ3K5emA24Q6b2xqVyYNyWPNtNe+t2ml1WioUdlsIxZkJrNpeTUJUKEopK8mZO62M4Y8sYt70QdYappvNjTuiQm38cPwEb/66xLrnn93d6Hh789clrPvuoM/365n0pcaGs2RGOW1jw72mqvkSF+Fw65zeeN8obEr5vRd6cj1r9qQSesyay/ETtV6dG2cy2fPThw6JkSydWU5CVChhdhsRDhubvj9EfmqMV2/JoluG8OTHlcz+/BsyEyOJcNi8CrRrwQt32CjJSSQuwsFlfTN54P111qhRXSMEE0oy+cvSbVw9IIvnFm/xeU5GQiRrdxr7RPz+59259c1VPHZJL6snzXOU4pYRBVaiM6prWz5Y8531Wr/s35HMxEjC6rGQ/bryXCq2VzO+X6bVwI8Jt3PwqPG+Hr/UmHLl65dWKeWV5PjisIX4nY/dFEqyE0mICvVqUF1ekslH66p4Znwx3+4/zFMfb/I79Q2wbg6eXF/XtdcfjLjYbSG0jTt1rGPDHUwtz6VdXDh3vL2G4ydqeXtKKbkp0XQ1b/IA3T2mYFxRksmxH2v9vu5r1/Tl0meXAcZUoT2HjvP4wkrz/7RzwPwsM80dr5xzfUd1bcu1r37p93Xfua6UTVU/cMmzn1rHamtPjnjFhNkZWphKzQn/1wZGEu9MaieWZvHCki2c2yPN6vUd5mc91pBOySxc/z21dYwEnY7S3ER+5dKAiYtwWL1nzht6rcbahsV5066P964bwPeHjvHh6u9OfXIzyUmOZmp5w+dzN5bDFsL15blejdmG8DdFtktaHCvM3ZjG9WzP8R9ruaYsi+SYsNNaF5jfjL2dvqaRNFRTJKXNbUz3djz58SbGl5wczbfbQk5r0XRUmJ3N949m654frE6r+8/rxgtLtnBez/b8Yc56flGcQUSojUW3DuGrHdVMfW2F20yC+pg2LJ/clGjiI4173dYHxlB9pIbYBmzRXZqb5NY4db0/XD0w2xq9nFDSkdyUaF5aspVaDZf1850oG/dWo+LpkRHP3ed0Ji/FvXw62wHgPULXtX0s04bl0yMjjl+++Dlw8s8SODcaSY0JZ//hGuwu0/nenlLKuCeWEBlqq3Okpr6Nble5KdF+OzjiI0Otjp3u6fHW7/xAH0mWUsrvtMpHflHErHO7YAtR/Oa9r63ZDjNGFTC0MMWroyE/NcbvNX0yYyiLNn5vJTmuemcm+DzuT11rhSruGs6Ptf7vl/7W5XqymTcq106niFAba2aNoPpIjc9RpDNV664FW5DrzjHjXLZjdU102sdH0CExkllju7B25wFuG13I7M+/8Up0XAue5zSI357XlRtmGzMCJw7IYuKALK9pY3eMKWRiaRa3jizgBY8kx7WB6pz+cEHvdC7qk8F5vdr7LPRThuRQku3eWL+0bwe3ROcecwemRS5D/K9e3ZeoMDtFGfFkzfwXWhsNOF+Z/+uTS7jkz5+y73CN28/furY/uw8d9zrfn8cu6cnyrXvrfX5D/PHiIrKTopm/dheX9vV9AxnSKcWq2NrGhTfJ2pwpQ3LdEp2GVii2EMVFfTJ4bvFmNuw6REHbGMIdNtbdO9Jvr9EsP+umvrhjGEdqTpAUHUZOchS/HdeNEnM9w80uW8w6y2Ruiu+F4WCMKsyfPoioUJvRyMcYOfMcPeuSFkvHpCiW3TbUugG5ltO8lGg2Vh3itWv6+lzjcMeYQm4anl+v3eRuH9OZIzWrrffUGM6PacaoAibXsQONM6HvmRHPLnM0K0TBK1f15aiPKTC/KstmcKcUclOiiQy1EWWOWM5Z03KJTiDNubGMTzef7N2ePrwTE/p3ZIOfstxUQu0hXuW5tbDXs7FypkuNDa9z05CGCglRVpIDxn3NWbc7RziduqTFsfDmwad8zTaRDquz5/XJJT7XerjtUGbWfb7WCHqaP72MiFMko/1zkuif07C/YVXX7AZflFLcMCyPDbuM3zmN0aj/7PahJNfxPooy4vnHtf1Ji2v6RfyB4LCFWGv7XO/tofaQBv/dsLhIh9e6l+bgOcruNGVIToNG70NClM/2TKg9xJo+Fywk0WmgVfcM59DRH+n/wAIr+w+z2/jnVGMBWae2MbSLC6d/ThKRYTa3HTd8GVvU3kp0nJbOLKf6SA0Tnv+MYZ1Trd6d6DA7Y4vS+ONHG43dkr7/wa0CzE+NYd13B61K119mf8uIk/uh33l2Z15f/g0D85J5+vLebvNQAVJijQL/q0HZbr/43dPjqfhmP9lJvt9fQdtYvrzzLPYdrrHm2AP07OC9KLIu5/RIa7bKwzlX3dc81qbinH7h6f3rB5KeEHFa06mcXrm6L19u22c1+MMdtgbtMAXuC7g/ummw3/OuHZzjtobF1XXluTy2oJKbzso/5Zak70wttSrj1Fjfu/o4R1+So8N89myFhCgrGTiV3JRoZk/yXqB9OpTyfWPw5LCF8O7UAXRMiuTrHQd48MN1pLeJdGuAuZrpZ6vhUd3aMfvzb3wuJA4mndrGuPU2g9FITMoNrputaDojugRuR02lFBV3D2f7viNea6h8cSapbeNOXX5bW6Kd0SYSW4iyRtRcO6kev7Qnzyza7DVS1KuB93TRPFzbdcKdqmtxb6AUFxfr5cuXt/RlNIgzbk0xvFdZdYjYCLvPdSP18dWOav694Xsml+Xw0idbueRnHbwSlsZYvb2awnYxbr2M1Ydr2LT70E++knMdfYuLcFBxt/yhMl9eWLyF6HA7F9Wxg4szltlJUWze/QMf3TTI75ovIcRP08GjNYQ7bPWeotMS3l7xLf1zE0/7ni6E8E8p9YXWuvjUZ5rnS6IjROPc96+vefY/W045pUnU7dVl23hoznp+f0EPbn2jgqUzh8ofOxVCCCGEpaGJjkxdE6KRnH0Fp7HeUri4rG8ml/U1FgY7F40LIYQQQpyu1jv2K8QZwrmNsz1Efp2EEEIIIVoLGdERopGmDMnlRK32u/WnEEIIIYQIPEl0hGikqDC7352zhBBCCCFEy5C5NkIIIYQQQoigI4mOEEIIIYQQIuhIoiOEEEIIIYQIOpLoCCGEEEIIIYKOJDpCCCGEEEKIoCOJjhBCCCGEECLoSKIjhBBCCCGECDqS6AghhBBCCCGCjtJat/Q1tHuxOAAABlJJREFUoJT6HtjW0tcBJAG7W/oifkIk3oEnMQ8siXfgScwDS+IdeBLzwJJ4B15dMc/UWifX94VaRaLTWiillmuti1v6On4qJN6BJzEPLIl34EnMA0viHXgS88CSeAdeU8Zcpq4JIYQQQgghgo4kOkIIIYQQQoigI4mOuz+39AX8xEi8A09iHlgS78CTmAeWxDvwJOaBJfEOvCaLuazREUIIIYQQQgQdGdERQgghhBBCBB1JdIQQQgghhBBBRxIdQCk1Uim1XilVqZSa0dLXE0yUUluVUquVUiuVUsvNYwlKqXlKqY3m1zbmcaWU+pP5OaxSSvVq2atv/ZRSLyilqpRSa1yONTi+SqkrzPM3KqWuaIn3cqbwE/N7lFLfmuV8pVJqtMvPZpoxX6+UGuFyXOqdelBKZSilFiql1iqlvlJK3WAel3LeDOqIt5TxZqKUCldKfaaUqjBjPss8nqWUWmaW178rpULN42Hm95Xmzzu6vJbPz0KcVEe8X1JKbXEp40XmcalTmohSyqaUWqGUes/8vvnLuNb6J/0AbMAmIBsIBSqAzi19XcHyALYCSR7Hfg/MMJ/PAB40n48GPgAU0A9Y1tLX39ofQBnQC1hzuvEFEoDN5tc25vM2Lf3eWuvDT8zvAW72cW5ns04JA7LMusYm9U6D4t0O6GU+jwE2mHGVch7YeEsZb76YKyDafO4Alpll9/+Ai83jTwO/Np9fCzxtPr8Y+Htdn0VLv7/W9qgj3i8BF/g4X+qUpov9dOA14D3z+2Yv4zKiAz8DKrXWm7XWx4HZwNgWvqZgNxZ42Xz+MjDO5fhftOFTIF4p1a4lLvBMobVeBOz1ONzQ+I4A5mmt92qt9wHzgJHNf/VnJj8x92csMFtrfUxrvQWoxKhzpN6pJ631Tq31l+bzg8BaoD1SzptFHfH2R8p4I5ll9ZD5rcN8aKAceMM87lnGnWX/DWCoUkrh/7MQLuqItz9SpzQBpVQ6MAZ4zvxeEYAyLomOUYF/4/L9duqu1EXDaGCuUuoLpdQk81iq1nonGDdVIMU8Lp9F02hofCXuTWOqOa3hBec0KiTmTcqcvtATowdWynkz84g3SBlvNuaUnpVAFUaDeROwX2v9o3mKa/ys2Jo/rwYSkZjXm2e8tdbOMn6fWcYfUUqFmcekjDeNR4FbgVrz+0QCUMYl0TGGIj3JnttNp1Rr3QsYBUxRSpXVca58Fs3LX3wl7o33FJADFAE7gf81j0vMm4hSKhp4E7hRa32grlN9HJOYN5CPeEsZb0Za6xNa6yIgHaOHutDXaeZXiXkjecZbKdUVmAkUAH0wpqP9j3m6xLuRlFJnA1Va6y9cD/s4tcnLuCQ6RjaY4fJ9OrCjha4l6Gitd5hfq4C3MCrwXc4paebXKvN0+SyaRkPjK3FvJK31LvPGWQs8y8mhdIl5E1BKOTAa3a9qrf9hHpZy3kx8xVvKeGBorfcDH2OsBYlXStnNH7nGz4qt+fM4jOm0EvMGcon3SHPaptZaHwNeRMp4UyoFzlVKbcWYxlqOMcLT7GVcEh34HMgzd34IxVj09E4LX1NQUEpFKaVinM+B4cAajPg6dye5Avin+fwdYIK5w0k/oNo5NUU0SEPjOwcYrpRqY05HGW4eE/XksZbsPIxyDkbMLzZ3kMkC8oDPkHqn3sx52c8Da7XWD7v8SMp5M/AXbynjzUcplayUijefRwDDMNZGLQQuME/zLOPOsn8BsEAbK7X9fRbChZ94r3PpOFEYa0Vcy7jUKY2gtZ6ptU7XWnfEqAsWaK0vIxBlvK6dCn4qD4wdNTZgzIm9vaWvJ1geGLvtVJiPr5yxxZhn+RGw0fyaYB5XwBPm57AaKG7p99DaH8DfMKaR1GD0dFx1OvEFJmIs6qsErmzp99WaH35i/lczpqvMiridy/m3mzFfD4xyOS71Tv3iPQBjasIqYKX5GC3lPODxljLefDHvDqwwY7sGuMs8no3RiKsEXgfCzOPh5veV5s+zT/VZyKNe8V5glvE1wCuc3JlN6pSmjf9gTu661uxlXJn/SAghhBBCCCGChkxdE0IIIYQQQgQdSXSEEEIIIYQQQUcSHSGEEEIIIUTQkURHCCGEEEIIEXQk0RFCCCGEEEIEHUl0hBBCCCGEEEFHEh0hhBBCCCFE0Pl/nbYjHyCEgd0AAAAASUVORK5CYII=\n", + "image/png": 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\n", 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\n", + "image/png": 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P8Oqrr2LWrFmoUaMGXFxcMGnSJFGH1LqoqKhAQEAAli9frvJzdQE0IiIibRjsISIiuzd16lQsW7YMn332mdJnISEhEAQBjRs3VrrpVFS9enWlEaiAymwKxQwcVYKDgwEAiYmJ6Nevn+izxMRE2edSFRUVuHr1qqhcly5dAgClEZo0+d///icaMlqaKRESEoKKigqcP39ebRBEvszy61hSUoJr164ZlcEinZ+7u7vW+YSEhODs2bMap1EXjJN2dOvn56dxOdJRnaSZQPISExM1LttY1atXl2WsyFPM1AkODkZsbCzy8vJE2T0XL16Ufa5J7dq14evri/Lycp1+Ox8fHzz//PN4/vnnUVJSgmHDhmH27NmIjo5G7dq14efnp/V3CQkJQX5+vsmynaT7jabl6rueprR69Wo8+uij+PXXX0XvZ2dno1atWrLXISEhOHLkCEpLS9VmEIaEhCA2NhY9evSwmeAxERE5BvbZQ0REdi8kJAQjR47EokWLkJ6eLvps2LBhcHV1xcyZM5UyBwRBwN27d0XzOXz4sGhI6U2bNikN0a5Op06dEBAQgJ9++kmURbJlyxZcuHABkZGRSt9ZsGCBqDwLFiyAu7s7+vfvr9MyASAsLAwDBgyQ/evYsSMAYOjQoXBxcUFMTIxSxoF0WwwYMAAeHh747rvvRNvn119/RU5Ojsoy6yogIAB9+/bFokWLVPapdPv2bdnfw4cPx+nTp7Fu3Tql6aTl8vHxAQClgFzHjh0REhKCL774Avn5+WqX4+rqikGDBuHff/9FSkqK7PMLFy5g27Zt+q+gHkJCQnDx4kXROp8+fVppaPjHH38c5eXlov0CAL7++mtIJBIMHjxY43JcXV0xfPhwrFmzRmWwRH758vs+UNl0LywsDIIgoLS0FC4uLhg6dCg2btyI48ePK81L+rs899xziIuLU7kNs7OzUVZWprHMimrXro3evXvjt99+E/1O8svUZz1NzdXVVelcsmrVKln/U1LDhw/HnTt3lH5LQLztysvLMWvWLKVpysrKVAafiYiIdMHMHiIicggff/wx/vzzTyQmJqJVq1ay90NCQvDpp58iOjoaycnJGDp0KHx9fXHt2jWsW7cO48aNw/vvvw8AeO2117B69Wo89thjeO6555CUlIRly5bJMke0cXd3x2effYZXXnkFffr0wYgRI2RDrzdq1AiTJ08WTe/l5YWtW7dizJgx6Nq1K7Zs2YL//vsPH330kUmabzRt2hQff/wxZs2ahV69emHYsGHw9PTEsWPHULduXcydOxe1a9dGdHQ0Zs6cicceewxPPvkkEhMT8cMPP6Bz586ijCFDLFy4ED179kSbNm3w+uuvo0mTJsjIyEBcXBxu3LiB06dPAwCmTJmC1atX49lnn8Wrr76Kjh07IisrCxs2bMBPP/2Edu3aISQkBNWqVcNPP/0EX19f+Pj4oGvXrmjcuDF++eUXDB48GK1atcIrr7yCevXq4ebNm9i9ezf8/PywceNGAJVD0W/duhW9evXCW2+9hbKyMnz//fdo1aoVzpw5Y/Q2V+fVV1/FV199hUGDBmHs2LHIzMzETz/9hFatWiE3N1c23RNPPIFHH30UH3/8MZKTk9GuXTts374d69evx6RJk3TaF+fNm4fdu3eja9eueP311xEWFoasrCycOHECsbGxyMrKAgBEREQgKCgIPXr0QGBgIC5cuIAFCxYgMjJSllU0Z84cbN++HX369MG4cePQsmVLpKWlYdWqVThw4ACqVauGKVOmYMOGDRgyZAhefvlldOzYEQUFBUhISMDq1auRnJwsynjRxXfffYeePXuiQ4cOGDduHBo3bozk5GT8999/OHXqlF7raWpDhgxBTEwMXnnlFXTv3h0JCQlYvny5Uvbf6NGj8ccff+Ddd9/F0aNH0atXLxQUFCA2NhZvvfUWnnrqKfTp0wdvvPEG5s6di1OnTiEiIgLu7u64fPkyVq1ahW+//RbPPPOMWdaDiIgcnEXH/iIiIjKS/NDriqTDYqsaTnrNmjVCz549BR8fH8HHx0cIDQ0VoqKihMTERNF0X375pVCvXj3B09NT6NGjh3D8+HG1Q6+vWrVKZRn//vtv4ZFHHhE8PT2FGjVqCC+99JJw48YNpbL6+PgISUlJQkREhODt7S0EBgYK06dPVxrWGQYOvS7122+/ycpTvXp1oU+fPsKOHTtE0yxYsEAIDQ0V3N3dhcDAQGH8+PHCvXv3RNMoDmsvJR1S+/PPP1e5/KSkJGH06NFCUFCQ4O7uLtSrV08YMmSIsHr1atF0d+/eFSZMmCDUq1dP8PDwEOrXry+MGTNGNLT2+vXrhbCwMMHNzU1pePOTJ08Kw4YNE2rWrCl4enoKwcHBwnPPPSfs3LlTtJy9e/cKHTt2FDw8PIQmTZoIP/30kzB9+nSdh1738fHROI2qodcFQRCWLVsmNGnSRPDw8BDat28vbNu2TWnodUEQhLy8PGHy5MlC3bp1BXd3d6FZs2bC559/Lhp2XBAq94uoqCiVZcjIyBCioqKEBg0aCO7u7kJQUJDQv39/YfHixbJpFi1aJPTu3Vu2vUJCQoQpU6YIOTk5onldv35dGD16tFC7dm3B09NTaNKkiRAVFSUUFxeLyhwdHS00bdpU8PDwEGrVqiV0795d+OKLL4SSkhLRdlG1nyju44IgCGfPnhWefvppoVq1aoKXl5fQokUL4ZNPPtF7PbXRNPS6qmO8qKhIeO+994Q6deoIVapUEXr06CHExcUpnScEQRAKCwuFjz/+WGjcuLGsfM8884yQlJQkmm7x4sVCx44dhSpVqgi+vr5CmzZthP/973/CrVu3dF4PIiIieRJB0KM3PCIiIjKJl19+GatXr1bZ7IiIiIiIyBjss4eIiIiIiIiIyIEw2ENERERERERE5EAY7CEiIiIiIiIiciDss4eIiIiIiIiIyIEws4eIiIiIiIiIyIEw2ENERERERERE5EDcrF0AQ1RUVODWrVvw9fWFRCKxdnGIiIiIiIiIiExCEATk5eWhbt26cHExLEfHLoM9t27dQoMGDaxdDCIiIiIiIiIis0hNTUX9+vUN+q5dBnt8fX0BVK64n5+flUtDRERERERERGQaubm5aNCggSz2YQi7DPZIm275+fkx2ENEREREREREDseYbmvYQTMRERERERERkQPRK9gzY8YMSCQS0b/Q0FDZ53379lX6/M033xTNIyUlBZGRkfD29kZAQACmTJmCsrIy06wNEREREREREZGT07sZV6tWrRAbG/twBm7iWbz++uuIiYmRvfb29pb9XV5ejsjISAQFBeHQoUNIS0vD6NGj4e7ujjlz5hhSfiIiIiIiIiIikqN3sMfNzQ1BQUFqP/f29lb7+fbt23H+/HnExsYiMDAQ7du3x6xZs/DBBx9gxowZ8PDw0Lc4REREREREREQkR+8+ey5fvoy6deuiSZMmeOmll5CSkiL6fPny5ahVqxZat26N6OhoFBYWyj6Li4tDmzZtEBgYKHtv0KBByM3Nxblz59Qus7i4GLm5uaJ/RERERERERESkTK/Mnq5du2Lp0qVo0aIF0tLSMHPmTPTq1Qtnz56Fr68vXnzxRQQHB6Nu3bo4c+YMPvjgAyQmJmLt2rUAgPT0dFGgB4DsdXp6utrlzp07FzNnztR33YiIiIiIiIiInI5ewZ7BgwfL/m7bti26du2K4OBg/PPPPxg7dizGjRsn+7xNmzaoU6cO+vfvj6SkJISEhBhcyOjoaLz77ruy19Ix54mIiIiIiIiISMyooderVauG5s2b48qVKyo/79q1KwDIPg8KCkJGRoZoGulrTf0AeXp6ws/PT/SPiIiIiIiIiIiUGRXsyc/PR1JSEurUqaPy81OnTgGA7PPw8HAkJCQgMzNTNs2OHTvg5+eHsLAwY4pCRERERERERETQM9jz/vvvY+/evUhOTsahQ4fw9NNPw9XVFSNGjEBSUhJmzZqF+Ph4JCcnY8OGDRg9ejR69+6Ntm3bAgAiIiIQFhaGUaNG4fTp09i2bRumTp2KqKgoeHp6mmUFiYiIiIiIiIiciV7Bnhs3bmDEiBFo0aIFnnvuOdSsWROHDx9G7dq14eHhgdjYWERERCA0NBTvvfcehg8fjo0bN8q+7+rqik2bNsHV1RXh4eEYOXIkRo8ejZiYGJOvGBER2bYrmfmIWn4CF9M5wiIRERERkSlJBEEQrF0IfeXm5sLf3x85OTnsv4eIyE51m7MT6blFqOrphrMzB1m7OERERERENsEUMQ+j+uwhIiIyVHpuEQAgv7jMyiUhIiIiInIsDPYQERERERERETkQBnuIiIiIiIiIiBwIgz1ERERERERERA6EwR4iIiIiIiIiIgfCYA8RERERERERkQNhsIeIiIiIiIiIyIEw2ENERERERERE5EAY7CEiIiIiIiIiciAM9hARERERERERORAGe4iIiIiIiIiIHAiDPUREREREREREDoTBHiIiIiIiIiIiB8JgDxERERERERGRA2Gwh4iIiIiIiIjIgTDYQ0RERERERETkQBjsISIiIiIiIiJyIAz2EBERERERERE5EAZ7iIiIiIiIiIgcCIM9RGRxWQUlGP7jIaw8mmLtohARERERETkcBnuIyOK+ib2E+Ov38OHaBGsXhYiIiMikikrLrV0EIiIGe4jI8vKLy6xdBCIiIiKTm7v5AkI/2YoTKfesXRQicnIM9hAREREREZnAon1XAQDzt160ckmIyNkx2ENERERERBaXV1SK0b8dxT/HUq1dFCIih6NXsGfGjBmQSCSif6GhobLPi4qKEBUVhZo1a6Jq1aoYPnw4MjIyRPNISUlBZGQkvL29ERAQgClTpqCsjE06iIiIiIicyeJ9V7Hv0m38b80ZaxeFiMjhuOn7hVatWiE2NvbhDNwezmLy5Mn477//sGrVKvj7+2PChAkYNmwYDh48CAAoLy9HZGQkgoKCcOjQIaSlpWH06NFwd3fHnDlzTLA6RERERERkD3Lvl1q7CEREDkvvYI+bmxuCgoKU3s/JycGvv/6KFStWoF+/fgCAJUuWoGXLljh8+DC6deuG7du34/z584iNjUVgYCDat2+PWbNm4YMPPsCMGTPg4eFh/BoRERERERERETkxvfvsuXz5MurWrYsmTZrgpZdeQkpKCgAgPj4epaWlGDBggGza0NBQNGzYEHFxcQCAuLg4tGnTBoGBgbJpBg0ahNzcXJw7d87YdSEiIiIiIiIicnp6ZfZ07doVS5cuRYsWLZCWloaZM2eiV69eOHv2LNLT0+Hh4YFq1aqJvhMYGIj09HQAQHp6uijQI/1c+pk6xcXFKC4ulr3Ozc3Vp9hERERERGRjSsoFaxeBiMhh6RXsGTx4sOzvtm3bomvXrggODsY///yDKlWqmLxwUnPnzsXMmTPNNn8iIiIiIrKsv46mWLsIZiMwjkVEVmbU0OvVqlVD8+bNceXKFQQFBaGkpATZ2dmiaTIyMmR9/AQFBSmNziV9raofIKno6Gjk5OTI/qWmcnhGIrvGChAREREREZHZGBXsyc/PR1JSEurUqYOOHTvC3d0dO3fulH2emJiIlJQUhIeHAwDCw8ORkJCAzMxM2TQ7duyAn58fwsLC1C7H09MTfn5+on9ERERERERERKRMr2Zc77//Pp544gkEBwfj1q1bmD59OlxdXTFixAj4+/tj7NixePfdd1GjRg34+flh4sSJCA8PR7du3QAAERERCAsLw6hRozB//nykp6dj6tSpiIqKgqenp1lWkIhskMTaBSAiIiIiInJcegV7bty4gREjRuDu3buoXbs2evbsicOHD6N27doAgK+//houLi4YPnw4iouLMWjQIPzwww+y77u6umLTpk0YP348wsPD4ePjgzFjxiAmJsa0a0VENulm9n0s2puEa3cKrF0UIiIiIrOR8MEWEVmZXsGelStXavzcy8sLCxcuxMKFC9VOExwcjM2bN+uzWCJyEK//fhzn0ziaHhERERERkTkZ1WcPEZE+GOghIiIiIiIyPwZ7iIiIiIiITIhDrxORtTHYQ0RERERERETkQBjsISIiIiIiIiJyIAz2EBE5uRMp93D1dr61i0FERERERCbCYA8RkRO7ca8Qw344hH5f7rV2UWzavYISaxeBiIiIiEhnDPYQETmxK5nM6NFmdfwNPDJrB77YlmjtohARERER6YTBHiIiIg2m/psAAFiw+4qVS0JEREREpBsGe4iIiIiIiIiIHAiDPURERBoIgrVLQERERESkHwZ7iIiIiIiIiIgcCIM9REROjEkr2nEbEREREZG9YbCHiIhIE0Z7iIiIiMjOMNhDROTMGMggIiIiInI4DPYQERERERERETkQBnuIiIg0EJj+RERERER2hsEeIiIiDTj0OhER6YuXDiKyNgZ7iIiIiIiIiIgcCIM9REROjE2UiIiIiIgcD4M9REREGjAcRkRE5pR8pwCPfbMP60/dtHZRiMiBMNhDROTE2B+NdgI3EhER6Umix7T/W3MGF9Pz8M7KU+YqDhE5IQZ7iIiIiIiIrKSguMzaRSAiB8RgDxERkQbM6yEiIiIie8NgDxERERERkQnxQQERWRuDPURETozd0RAREREROR6jgj3z5s2DRCLBpEmTZO/17dsXEolE9O/NN98UfS8lJQWRkZHw9vZGQEAApkyZgrIytlUlIiLbw4AYEREREdkbN0O/eOzYMSxatAht27ZV+uz1119HTEyM7LW3t7fs7/LyckRGRiIoKAiHDh1CWloaRo8eDXd3d8yZM8fQ4hAREREREdkdPlQgInMwKLMnPz8fL730En7++WdUr15d6XNvb28EBQXJ/vn5+ck+2759O86fP49ly5ahffv2GDx4MGbNmoWFCxeipKTE8DUhIiIiIiKyM4z1EJE5GBTsiYqKQmRkJAYMGKDy8+XLl6NWrVpo3bo1oqOjUVhYKPssLi4Obdq0QWBgoOy9QYMGITc3F+fOnTOkOEREZCBWMImIiIiIHI/ezbhWrlyJEydO4NixYyo/f/HFFxEcHIy6devizJkz+OCDD5CYmIi1a9cCANLT00WBHgCy1+np6SrnWVxcjOLiYtnr3NxcfYtNRERERERk927nFaOmjwdcXCTWLgoR2TC9gj2pqal45513sGPHDnh5eamcZty4cbK/27Rpgzp16qB///5ISkpCSEiIQYWcO3cuZs6cadB3iYhIvbLyCtnfRaXl8HJ3tWJpiIiISJMjV+/i+cWH8WiL2ljyShdrF4eIbJhezbji4+ORmZmJDh06wM3NDW5ubti7dy++++47uLm5oby8XOk7Xbt2BQBcuXIFABAUFISMjAzRNNLXQUFBKpcbHR2NnJwc2b/U1FR9ik1ERGoUljw8b2cXllqxJERERKTNkoPJAIDdibetWxAisnl6Zfb0798fCQkJovdeeeUVhIaG4oMPPoCrq/IT4VOnTgEA6tSpAwAIDw/H7NmzkZmZiYCAAADAjh074Ofnh7CwMJXL9fT0hKenpz5FJSIiIiIiIiJySnoFe3x9fdG6dWvRez4+PqhZsyZat26NpKQkrFixAo8//jhq1qyJM2fOYPLkyejdu7dsiPaIiAiEhYVh1KhRmD9/PtLT0zF16lRERUUxoENEZGHsoJlsRVl5BdxcDRo3gojIrgkce52IzMCktSoPDw/ExsYiIiICoaGheO+99zB8+HBs3LhRNo2rqys2bdoEV1dXhIeHY+TIkRg9ejRiYmJMWRQiIiKyE+/+cwqtZ2xDZl6RtYtCRERE5BD0Ho1L0Z49e2R/N2jQAHv37tX6neDgYGzevNnYRRMREZEDWHviJgBg5dFUvN2/mZVLQ0RERGT/mC9NROTEmDpORERkPyQcbZ2IdMRgDxHZDEEQ8NfRFCTcyLF2UZwGQz1ERLbpq+2JGPbDQRSVKo92S0REpA2DPURkM3acz0D02gQ8seCAtYviPOSiPXxaSNbGRDOih77bdQUnUrKx7uRNaxeFDMHzGRFZGYM9RGQzLmXkWbsIRERENqW0vMLaRSAzY6CbiMyBwR4iIicm8NEjEREREZHDYbCHiIiIiIiIiMiBMNhDRAaJv34PWQUl1i4GETkQZpoRKWMTHzulRz94+pz72L8eEemKwR4i0tv+y7cx/MdD6D5vp7WLQkbiTQQRERERkeNhsIeI9Lb74m0AQFEpO420d/KxHj4sJCIism18SENEumKwh4iIAHCUWCIiIiIiR8FgDxHZDAkbohM5NT6xJiKHocf5jOc+IjIHBnuISG/miskIrO0QERGJ8NpI8vhcjIh0xWAPEREREREREZEDYbCHiMhMMnOL8OOeJJseop4PjImIiIiIHI+btQtARCTlaH32jPz1CC5l5OPAldtY/lo3axdHJYHdMpMN4d5IRM6I5z4iMgdm9hARmcmljHwAwMErd61cEvXkM3uY5UNERERE5BgY7CEicmKM75AtcazcPiLT4HnaTpnphCbhmZKIdMRgDxHpjdUMIiIiIg30GnqdIT0iMj0Ge4iIiIiIbBQfsBARkSEY7CEicmZ8mkg2hHsjERERkWkw2ENE5MR4c01ERERE5HgY7CEiIgAchp2IyBY5+5m5okJAZl6RtYthVnr9xmzXR0Q6YrCHiMiJsRUXERHZsnf+PoUus3di18UMaxfFNvC6TUQ6YrCHiMiJlZZXWLsIRA8x+khECjaevgUA+HFPkpVLYkY89RGRGTDYQ0R6kzCF2GF8+t8FaxeBiIjI4bBpNBFZm1HBnnnz5kEikWDSpEmy94qKihAVFYWaNWuiatWqGD58ODIyxGmXKSkpiIyMhLe3NwICAjBlyhSUlZUZUxQiIiIiIrITgp6ZfEz8IyLSj8HBnmPHjmHRokVo27at6P3Jkydj48aNWLVqFfbu3Ytbt25h2LBhss/Ly8sRGRmJkpISHDp0CL///juWLl2KadOmGb4WRERkNFakzWdzQhq6zdmJ+OtZ1i4KEdkZnptJhNnVRKQjg4I9+fn5eOmll/Dzzz+jevXqsvdzcnLw66+/4quvvkK/fv3QsWNHLFmyBIcOHcLhw4cBANu3b8f58+exbNkytG/fHoMHD8asWbOwcOFClJSUmGatiMisJGzHRaSXt5afQHpuEV5detzaRbFpvKclIkchYVSGiKzMoGBPVFQUIiMjMWDAANH78fHxKC0tFb0fGhqKhg0bIi4uDgAQFxeHNm3aIDAwUDbNoEGDkJubi3PnzqlcXnFxMXJzc0X/iMh69E29Jvsg/VXP3szB3C0XkFdUatXyOKIydohNRERERBbgpu8XVq5ciRMnTuDYsWNKn6Wnp8PDwwPVqlUTvR8YGIj09HTZNPKBHunn0s9UmTt3LmbOnKlvUYmIyABDvj8AACgoLsOnQ9tYuTSOhWFSIiLDOPL505HXjYisR6/MntTUVLzzzjtYvnw5vLy8zFUmJdHR0cjJyZH9S01NtdiyiUgZm3E5JsWMrQtpeVYqCRERSTEQ4PiYMU1E5qBXsCc+Ph6ZmZno0KED3Nzc4Obmhr179+K7776Dm5sbAgMDUVJSguzsbNH3MjIyEBQUBAAICgpSGp1L+lo6jSJPT0/4+fmJ/hERmVtFhYAjV+8il82ZyERYn9eM24eISDNbfdxWXsETOJGt0SvY079/fyQkJODUqVOyf506dcJLL70k+9vd3R07d+6UfScxMREpKSkIDw8HAISHhyMhIQGZmZmyaXbs2AE/Pz+EhYWZaLWIiIy3Kj4Vzy8+jKELDlq7KBbBG20iIrJV9pb9IjhRTta1OwVoNX0rPtt60dpFISI5evXZ4+vri9atW4ve8/HxQc2aNWXvjx07Fu+++y5q1KgBPz8/TJw4EeHh4ejWrRsAICIiAmFhYRg1ahTmz5+P9PR0TJ06FVFRUfD09DTRahGROdnqUyVT+/fkLQDA1TsFVi4JOQq2gNSM24dIGQ8LsnVf7biEotIK/LgnCR88Fmrt4hDRA3p30KzN119/DRcXFwwfPhzFxcUYNGgQfvjhB9nnrq6u2LRpE8aPH4/w8HD4+PhgzJgxiImJMXVRiIjICPb2FNUecJMSERERkSUYHezZs2eP6LWXlxcWLlyIhQsXqv1OcHAwNm/ebOyiiYiIyIEwGEakjIdFJW4H85I+4OEgHESOQ68+e4iInIkztbcHeKMtb8Guy1h68JrJ5+ts+xQRkTq85jxk7U0hCAJG/HwYw388xKxeIgdi8mZcRERE9uxm9n18sf0SAGB0eCPrFoaIiByeteMrBSXlOHw1CwBwK6cI9apV0ev7zAUisk3M7CEim8HMYeti1kml+yVlsr+5TxIR2QZrB0T0JbHTEIh9lpqIVGGwh4j0Z6aagK1V5GytPJbm5KtPVsCAIxE5Cp7PiMjaGOwhIlLD2appzh7cUoXbhIisjX2oaBe9NgHv/n3K2sVwWsyCJbJNDPYQERGJmK/Wyns2IiLTul9Sjr+OpmDtyZtIy7lv7eKYHUfLIiJdMdhDRDaD9RfrYhyCiIjsjXxzqfIKXsmIiKQY7CEiIlKDtw2WxcwnInJGttS/jyEl4bM6ItvEYA8R6c1eR5jQm+3UvSxCsV8IZ73xZoYZEZHtceRLkrNeb4nIvBjsISJSw5aetBEREZFmxgZN7uYX4/DVu+wUm4gcAoM9REQEwLGfmhrK1BV+bmMiItvVa/5uvLD4MGIvZFq7KERERmOwh4j0xmYu5Mi4e1sPg2FEpJYOwXdj6yeFJeUAgF0XjQ/2mCs5iNcoItIVgz1EZDH2FiRytixuZ1tfq+A2JiICwNMhEZG5MdhDREQqOWtFXFDzNxERkTno87DF3NclQ57LSeztaR6Rk2Cwh4iIiGwCbxeISB1dghy2lKFqQ0XRi72Wm4iUMdhDREQPsIoHMOBgTdwDiYgsj9c9IsfEYA8R6c1clQKJjVU3eOPpHHKLSnHtToHKz2zpKTERkSMrLa8weh621JrIXMO3m2MVjS2pDW12IpLDYA8R2QzBxsIr5qqo2SonW12ZrrN34tEv9uByRp7Zl1VigpsZIiJHdL+0XOPn9naNsrPiEpEDYrCHiPRm6JMzPvkhWyS9wdh/+Q4AdjRJRGSv7C0gRERkTgz2EBERAD6FVMXWss0cHW/UiJTxuNDM1pqASznV72abPwGR02Owh4hshq1V2JypnkZERGRN2oIj6oLvthqU16dUztZsnIgsg8EeIrIYNo+xbaxrVuJeSkRkn5yhmmHudWTgichxMNhDRKQG6zvEfYCIiAxiBxeQiorKMhobP7K1zGwiqsRgDxHpjRd1x6SUCm8HFVUiIkdnq82UjKVvBokudQ97vWxZo9gnU+6h9Yxt+CMu2eh5Oeo+SmTv9Ar2/Pjjj2jbti38/Pzg5+eH8PBwbNmyRfZ53759IZFIRP/efPNN0TxSUlIQGRkJb29vBAQEYMqUKSgrKzPN2hARmRCrLkREZItKyiqsXQTTM7DPHvM8gHL8GsCkv0+hsKQc09afc4K1JXJObvpMXL9+fcybNw/NmjWDIAj4/fff8dRTT+HkyZNo1aoVAOD1119HTEyM7Dve3t6yv8vLyxEZGYmgoCAcOnQIaWlpGD16NNzd3TFnzhwTrRIRmZsztIl3Rvb6RJSIyJkcuXoXzy8+jPcjmmNCv2bWLo7V2WpWiW2WSjtD+ldkxjeRbdIrs+eJJ57A448/jmbNmqF58+aYPXs2qlatisOHD8um8fb2RlBQkOyfn5+f7LPt27fj/PnzWLZsGdq3b4/Bgwdj1qxZWLhwIUpKSky3VkRkVgwKEBERmYcgCMgvVp/1Hr0uAQDwxfZLliqSE7Ld4IWpSsa6HJHjM7jPnvLycqxcuRIFBQUIDw+Xvb98+XLUqlULrVu3RnR0NAoLC2WfxcXFoU2bNggMDJS9N2jQIOTm5uLcuXOGFoWI7ER5BWsWtowVv0rMXLMeW31CT2RJk/8+hdbTt8leO03WhJbVtOw1yviF6VNevabVvygqpWQVap+IiOyaXs24ACAhIQHh4eEoKipC1apVsW7dOoSFhQEAXnzxRQQHB6Nu3bo4c+YMPvjgAyQmJmLt2rUAgPT0dFGgB4DsdXp6utplFhcXo7i4WPY6NzdX32ITkQk5zc2wk0c/nHvtKzn5LkBEVvDvqVui104TBDVwNZ0mGGYhhgy97jT1QiI7o3ewp0WLFjh16hRycnKwevVqjBkzBnv37kVYWBjGjRsnm65NmzaoU6cO+vfvj6SkJISEhBhcyLlz52LmzJkGf5+I7IOtVRacpHot4zQ3FERERBoZXyGxp2uqjVW/iMhE9G7G5eHhgaZNm6Jjx46YO3cu2rVrh2+//VbltF27dgUAXLlyBQAQFBSEjIwM0TTS10FBQWqXGR0djZycHNm/1NRUfYtNRCbESgE5IvuplhORU7Oxk1VOYalFlqMu4cQ8QRXLNuMiIjIHg/vskaqoqBA1sZJ36tQpAECdOnUAAOHh4UhISEBmZqZsmh07dsDPz0/WFEwVT09P2XDv0n9ERKSZIAg4lZqN+yXlOk5v5gLZCfkmAfb0ZJYIqOwbLS3nvrWLQU5idfwNtIvZjq93sLNoY+hzreEDNyLSlV7BnujoaOzbtw/JyclISEhAdHQ09uzZg5deeglJSUmYNWsW4uPjkZycjA0bNmD06NHo3bs32rZtCwCIiIhAWFgYRo0ahdOnT2Pbtm2YOnUqoqKi4OnpaZYVJCIylL0HP5YfScHQhQfx0i+HtU9MrECTQ3jjz3iEz92FnRcytE9MZKSPH4wM9u3Oy0bPy9GC6/Zeh9AHr59EtkmvPnsyMzMxevRopKWlwd/fH23btsW2bdswcOBApKamIjY2Ft988w0KCgrQoEEDDB8+HFOnTpV939XVFZs2bcL48eMRHh4OHx8fjBkzBjExMSZfMSIiZ7fyWAoA4ERKtkHfd6aKKmBzLSOIDBL7IMjz64Fr6N8yUMvUZA8Uz8XOeq5y5PV2tustEVmGXsGeX3/9Ve1nDRo0wN69e7XOIzg4GJs3b9ZnsURERBYj31E4K+BEZGsMGS1JUcKNHHi5u6BZoK8JSmQYnl5tE697RI5D79G4iIhsbtgsM7H3lHJ9h6N19gqec+zVNs7J90FTcvbjmdTLLizBEwsOAACS50VauTTGs9V93UaLZRZOUi0ksjtGd9BMROSobLUCqStWvojIXARBQFZBibWLQQZIzy0y2bxMeZnUds01RUaTI5CY+eJuyOz50xDZJgZ7iEhv5qpmMDZhWvpuT3vPZDIHbhEi1WZtuoAOs3Zg05lb1i4KGYEBFPPhtiUia2Owh8iGFZaUWbsI5MTMEfxZevAanlxwAPeYEUBkVuYO3v528BoAYO7mi2ZbRnFZOSoqeMNs6i2gbxNfzfMyHWf+pe193ZlJTGSbGOwhslE7L2QgbNo2fLU90dpFIXtlg7WvGRvP48yNHCzYfcXaRSEbZO83PGQ6eUWlaD19G5756ZC1i2JzeJyQI8nMLUJZeYW1i0HkkBjsIbJRn/x7FgDw3S7eFFuLvWdg692My4LrW1RabrmF6UjV6jMNn8g6Dly+g9JyASdSsq1dFIdjyhEHTdtnj2Fzs9WztD6r46yXmjM3stFlzk4M/ynO2kUhckgM9hAREQDbrTCT87C9XDT75aw3j87AUX9bB10tu2PI/mVo08BVx28AAE6nZhv0fSLSjMEeItKbDbYOMgtnq3gOXXjQYhk3trhtnWS3JjIpZ7keWJOpN7H8/GzpXGxLQSxTlMWeBj3gcUzkmBjsIbJR9lNFMB1WNkzLkO25JzHT9AWxE9JjTtTEwSolcV7c3qbDbek4FH9LWwoi8LKtni0Fr4jIOTHYQ0TkoAyrhLPqTkTWx+C/ZRjbL5kp4xn8ze2Xob8df3Mi82Kwh8hG2fITIVMO22rL7L1zXglrUXrh1iLSH08zZCjFS6yHm+bbEnWXZHu/VhMRmQuDPUQ2Kj23yNpFIKfkvJVm511zckgW2qGdJfjvqHjesxW6/xI84ohIVwz2EBE5KFYIDSOfEcUHxpbFJ/REyhQPC2MPE2ZjWYY+P5O1T33W2qe4KxKZF4M9RGQz+ITYtIyt0Fu78mlp0s3FgAORLeD1wBJs6XSnrSy21DG1LngtISJrY7CHiPRmrqeC9laRc0SsmxI5Bp5PHZfx52kG0oiInAGDPUREajDwYT62uG0fDr3OsdeJdMUmQfaNQUHz4ZbVjgNJEJkXgz1EZDPYjMu0DNme8vUu1sGISBtznSZ4/jEfe922akfjsmwxzKKswhHWgohsDYM9RKQ3O60n6i0xI8/aRTCODf9QtnizYYNFIjKZ0vIKaxeBDGTT2TemLJoNr6ZB9FifnPuluk/MixUR6YjBHiKyKvkODG0xAGDPDNmc8k9ObbGplTnJmnGJ3nOyjWBlpeXc3uZwKSMPzT7egtn/nbd2UXTmbOcfSxKd47idVdJnu2TmFqGotFx5HiYsj+1jBY7IFjHYQ0RWdSkjX/Y3K53Og781qbL0ULK1i+Aw5I+xL7YlAgB+3n/N5MthnxtOzsl//qu389Flzk70/3Kv5RbK6ycR6YjBHiKyKjYtMB/eg+mHm4vIdvD8RYosGePQdf/bcT4DAHAz+74ZS0NEZBgGe4jIZthy5T4zr8jaRdCbIR00W+uBYU6hHv0VmMnD0bjk3uMTVCKyMYKDnJgUm8lWGLhe5tgcDrKJLcbQ+pst1/uIHAGDPUSkN2e8OP978qa1i6A3Z/ydiKiS/L2qOc8FPM1YnrFxCPmmd0YHNUwYFNlyNt10M7MBZgvK8aAjIh0x2ENERCpZ8slmUZly55aWticx09pFILI/Zrrx5P2sfSgxYVPsrIJio+dRbuEhzDUFUs1VEkOydrVhIhORY2Kwh4j0xg45ydTScqzfTG7/5TsAxBVpVoAtKzTI19pFILI5pg68O/KIg5/a0YhzjoS1QiLbpFew58cff0Tbtm3h5+cHPz8/hIeHY8uWLbLPi4qKEBUVhZo1a6Jq1aoYPnw4MjIyRPNISUlBZGQkvL29ERAQgClTpqCsrMw0a0NERDLGxuQsGdOzpYqio9382JMujWtYuwgOQ74JiTkyAch62J+MerEXbCdD02ytuHg4E5GO9Ar21K9fH/PmzUN8fDyOHz+Ofv364amnnsK5c+cAAJMnT8bGjRuxatUq7N27F7du3cKwYcNk3y8vL0dkZCRKSkpw6NAh/P7771i6dCmmTZtm2rUiIjIxe7xZsu0yCxpekbPiTaz9seWzDKlmq53QayuL2j5wrLgOmq6z5npwwGOOiHSlV7DniSeewOOPP45mzZqhefPmmD17NqpWrYrDhw8jJycHv/76K7766iv069cPHTt2xJIlS3Do0CEcPnwYALB9+3acP38ey5YtQ/v27TF48GDMmjULCxcuRElJiVlWkIiISB+iZly2dCdE5ETYXPghbeehU6nZ+GzrRdwvsX7fZ0T6sO2HUkT2z+A+e8rLy7Fy5UoUFBQgPDwc8fHxKC0txYABA2TThIaGomHDhoiLiwMAxMXFoU2bNggMDJRNM2jQIOTm5sqyg1QpLi5Gbm6u6B8REWlmyL2S/D2FJeMcLqzvEdiEzpS4JR2HtnPx0IUH8eOeJHy/67JlCmTjXlgch8sZedYuBptxEZHV6R3sSUhIQNWqVeHp6Yk333wT69atQ1hYGNLT0+Hh4YFq1aqJpg8MDER6euVQiunp6aJAj/Rz6WfqzJ07F/7+/rJ/DRo00LfYRERGYeWKiEgZM3Bsx6WMfJ2ms9VO6LWVRdeyHr6ahdf+OG5scXRijd2f2TBEpCu9gz0tWrTAqVOncOTIEYwfPx5jxozB+fPm7fk+OjoaOTk5sn+pqalmXR4RERFgWzdCzoCt5kzHUtvSXLedvJ19SPGndNQMOFPus5m5xg/jbqwb9+5buwg2zxrBsvsl5bidZ/39g8gS3PT9goeHB5o2bQoA6NixI44dO4Zvv/0Wzz//PEpKSpCdnS3K7snIyEBQUBAAICgoCEePHhXNTzpal3QaVTw9PeHp6alvUYnITPgg1z7Y0xN3W3pSaUebjUgn3Kftm2IQxJRBEV36JSspq8DEv06gR9NaGB3eyHQLNxFVwS9HDYgBtnk822KZ1On06Q4UlJTj2McDUNuX95fk2Azus0eqoqICxcXF6NixI9zd3bFz507ZZ4mJiUhJSUF4eDgAIDw8HAkJCcjMfDgs4o4dO+Dn54ewsDBji0JEds6WgxO2XDZ17K/E5Owc9/aMyH6tPXED285lYNp69f1rGkLvoBVPEADsK7BiiwoedGQef/2elUtCZH56ZfZER0dj8ODBaNiwIfLy8rBixQrs2bMH27Ztg7+/P8aOHYt3330XNWrUgJ+fHyZOnIjw8HB069YNABAREYGwsDCMGjUK8+fPR3p6OqZOnYqoqChm7hA5KXGHwKzJkW3hLkn2Sn7XNefN4eVM3fqJIcOZOktFNPS6DtPnF5eZdPlk2yx53WPcisi89Ar2ZGZmYvTo0UhLS4O/vz/atm2Lbdu2YeDAgQCAr7/+Gi4uLhg+fDiKi4sxaNAg/PDDD7Lvu7q6YtOmTRg/fjzCw8Ph4+ODMWPGICYmxrRrRUREBpG/qcgtKjXfchhEISLSiVIzLvVTWmT55uLITa9snbEP22ypKTYRPaRXsOfXX3/V+LmXlxcWLlyIhQsXqp0mODgYmzdv1mexROQkbLmplO2WTD1jN6clO5e01Uq+rZbLUTEIaDr2eM4iy7OnY86Oimpm5j26ed0jchxG99lDRM7HlE9wWKkwH1u+2bPhuJ745oe7J9kpUTMumz4bkOmY53e21HXa0P3UHAErZ66bHL2WZbFl2XJdgMgRMNhDRDbDlq/59lghseVMKcXKOW9GqZLz3mCRmA2fvizO1EeFaNvqMHNLZf8Ulthf30DWuM6ae5El5RV6f4fHK5FtYrCHiPRmyou6qINm083W5Oy9HnMhLVen6ayV0m+rT1Fts1RE5MzsqemVPs5ruU5ZchAHW34AYbslszcOeiARyWGwh4hsxn25p3o5983XObCzkK8QZuYVW60cunDUmxfSD/cDE+LGdBxKv6W631a339xWsz5NucsaOy9bfQBhCYZsO0P3KFvdF4kcBYM9RGRVaTlFsr9Lyh6mDheVllujOA7FkDoU611ivF8mImsz52lIl6CGpU6DB67csdCSTMcal0z563TS7XyTz5+XPSLHwWAPEVnV+lM3H76w4UiDszx9YnBDzJmf7lpKQfHDjD7uf6Zj75vSSU65dsHWj0sbL57JyTcxS8o0fbDH5n9wMilLNo8ky2Owh4iISA3Wgcxv5bFUaxfB8TFwYtfMeR7iOY7Iea0/dRMdZu2w6AhsZFkM9hCR3kx531AhV9MUDRDCCqgJ8A7PWNwNza/MgJFfiJyJYoah+uujbud8fa8MzHC0LfJZb7aSdWwr5SD9vLPyFO4VluLVpcesXRQyEwZ7iMiqGNQxH1GFUMfvWOvn4G7gvFzkdlTeVJoOz62kC3vaTeyprOYkUfO3qXA7Ox825XJcDPYQkd4qTDlihtzftvxgyJbLpo49FdlWKxq2Wi5HYo/Hlr2xx01sy0NfW5riaUj9Wck85yt7PA3aYZF1JhEFyE3DkbcXkTNjsIeI9HY5I89k86qokG/GZbuVe9stmf3ycn94CbLVFHB7vMmxN6LMHm5vIiWmPizkT7eOENC25jrY6KWLSC+2Wgcj4zHYQ0R6M2W16lDSXdnfogoonzMZzdav3cE1fGR/O8INBxnGxcb3U3slfw5lRd6xOOv50klXWyOzNOPidnY6znpOcQYM9hCRVd0vLVf5vimbipmEHd4s2XKmFAA0C6xq7SKoxECjZbm4mL5JAok5U0VeEAQcvnoX9wpKrF0UkzH1zyd/bdBl1rruP0VqrufWUGqhjt9t+yprOYZWkbj9iMyLwR4i0pslLs7rT920wFJIkzr+XmabtyDwxt4e3C8px6hfj+D3Q8lmWwazTsiUNp1JwwuLD2PAV3utXRSDlKt40pFVUKx2+uVHrpuzOHrZejbd2kWQcZb4ppOsJpkZr8OOi8EeIjKKuZ4Yp2bdN8t8SXfmriz7errJ/q5V1dO8CzOQs9wwqPPn4WTsv3wH0zecM9syXET9h5htMU5Hfls6U0V+27nKgMNdO8zsmbnxHNrP3K70/j/Hb6j9zsfrzsq90u13ls9e1OWYK9Mx1bbCzAewJbMubflcZO7D2ZB6na1nEqtiy78xkam4aZ+EiEiBRa7ptnUVtr9qjMLQ6zqugKWae0gk4uY7rjbacYuzN+nKLzZ/swwXJwpEkPnZ8xG75GCykXMwz9rHXsgwy3xNxZq/uTUCqfKBFZ49HUNJWQXKKwRU8XC1dlHIwTCzh4j0Jmrvb8JalnylRd18BUHAhbRclFmoPb49kxiZMWHOQIctP1HLyFXfZIJMz0bjfGRthu4XNnxuMRVLr2JhiW5BX8ZtHYMh+xd/e+N0n7cLLadtxX0djzUiXTHYQ0R6s8RFXV0w4Jf91zD42/2Y9Pcp8xdCjj1WZIxNq7ZkQMaW7s/+iEuW/W3ubbDqeCr+O5Nm3oUYwRK7vbizWFvaExyHHZ6+DOYM+5Apz0s6bS8Vk2TmFeGjdQniycy86W35IYElmb8Zl3nnT8ru5Fc+ZLqUkWflkpCjYbCHiPTm7mq90XN+3JsEoLITTksyNnBy5Opdq46IY4/BKkeXmVuEKavPIGrFCacaLUkR900ypUNJd61dBLty455h/eNNWXUGK46kiN5zxmPZGuts7kVa9GrkhPuMLeLP4LgY7CEivbUI9DX7Mhzt6ezziw9jd2KmZRdq5NXbsX4BPQgq/6x8bcKgTG5RqcnmZS6WuJER9dnjtDud6dl7/NDQXa+ufxWTlsPRpWYVap1G1a50MT3X6GXb+z4KOMY6EJHjYrCHiPQm3yGhKW9+5efkiBWofZfuWHR59vSkxlYzW8w9uoyUja6+RaTnFlm7CA7PmTIuisscv88LS58vVS3PGqMvqe/Lz7LlsDZzHM/GbkMnOsWYlZPtymQBDPYQkd7MdeMgaMiosLbCkjJrF4EcjvEHUl5RKXIKzZchZIkbutz7D8tva8c92Z+k2wXWLoLZWfo4UbU8VfUAZwu6AFZqxiW3UGcK5BKR/hjsISK7Yq16jfFD4tpfpcwZK+6KLLUNDFlMRYWANjO2o13MdhSV2m82gzWGLnYGPHwdV16R9R8+8Ki1DbZyneZpnMg2MdhDRHoTDZFupmXYSgVGyhSZPZZOezfkJtpSzZYAIOFGjuxvW/u91TFlOY2tHJeUV8j+zrTj4eLlh14vlVsncm4MAtoOS52fOwVXt8yC7NzFdPOO2GTJZoLWaA5oy6y2NfgzOCwGe4jIJqmrbNhz/d/SfUkYsqk+WntW7pX5KnwVgoCEmznaJ7QCQcMrZ2PpDpotPcoekb0QBAH/W30a38ZeNsG89Js+RYdOnE2hUS0fpffKK2z7HGyNKsm+S7dlf59KzbZCCZQZGpw1x2Acq+NvYMaGczbbF6Am9ldisnV6BXvmzp2Lzp07w9fXFwEBARg6dCgSExNF0/Tt2xcSiUT078033xRNk5KSgsjISHh7eyMgIABTpkxBWZn1U1KJSH+mvJY2qPFwFBUPN9Wnpzv5JaZboB5M8ZR5ucIwtZak69Oz+3LNgcxZTzpyLct8MzeSfAXRYs24DFiQ/FfsOQjqYsdlt2Xy+xQ3sf1LuJmDf47fwNexl0w6XxcDTx6qronGnodUnQb/Ppaq/XtOfIt89pZtPjSxpvdXncbSQ8mWHwGVyAa56TPx3r17ERUVhc6dO6OsrAwfffQRIiIicP78efj4PIzGv/7664iJiZG99vb2lv1dXl6OyMhIBAUF4dChQ0hLS8Po0aPh7u6OOXPmmGCViMheucrd9dnhAxmbIx7R2rY2KJvrGH8DLv+bmivYY5EggT1HqogspKhU+zkz24DO2tvU8zekOCqZ47q9x0o37DqvigOevyxZ/zJnMy5DjgciR6NXsGfr1q2i10uXLkVAQADi4+PRu3dv2fve3t4ICgpSOY/t27fj/PnziI2NRWBgINq3b49Zs2bhgw8+wIwZM+Dh4WHAahCRRckPvW6mIMKx66bN/LiYnovvdl7GuwObo2mAr97ft8fqnPHBBLLUNjBkOeLMHnvcQysxs4fINI5fv6f3dwzP7FF+r8zIJlfa6hN38u23bzJzMUcrN0M6/LfF07i2oBXrOOQMjOqzJyenMnWwRo0aoveXL1+OWrVqoXXr1oiOjkZh4cO2vnFxcWjTpg0CAwNl7w0aNAi5ubk4d+6cyuUUFxcjNzdX9I+IHFuxDk8x9fHMj3HYnJCOET8fMel8pfKKSjHmt6NYdVx7yrmliIZnNaAqZs727vaauWXKYhsboKmwQDMdS/fZY8u2nk1D9NozKCmzv6w0ew4GUiVb+wlVlWfj6VtmXU6xBY89G9vcapnjOv173HWTz5OIrEOvzB55FRUVmDRpEnr06IHWrVvL3n/xxRcRHByMunXr4syZM/jggw+QmJiItWvXAgDS09NFgR4Astfp6ekqlzV37lzMnDnT0KISkYmJRuMyYT3DnAGA/OLKfsFu55nnyeCivVex99Jt7L10G892amCWZTgSxSe4thr8sVyfPQZ8R+5vW7sR1Ie9FP3NZScAAC0CffFyj8ZWLo12tnpMkePKNXZIeBX7rLVGa9L18DFH6QRBsGqANve+Ac2fDCxufrH5mlrxFEhkRLAnKioKZ8+exYEDB0Tvjxs3TvZ3mzZtUKdOHfTv3x9JSUkICQkxaFnR0dF49913Za9zc3PRoAFvpogcmSWHADeFHEMqRyoIgoArmfloWNMbnm6uRs3Llm+i7WW4VXP2dWTsFjgrN3S9vWxPVVzsrB3XbTtpSmJr/XTpy772Cuej8pyj53VbKehvTIGsxBxljr9+D50a1dA+oZlY8tyx9ezDB/1FpeXwcjeu3kOG4fnWcRnUjGvChAnYtGkTdu/ejfr162uctmvXrgCAK1euAACCgoKQkZEhmkb6Wl0/P56envDz8xP9IyLrscQDJ3sL9pjKxjNpGPj1Poz69ai1i2LW6p5yJV+/peXcL8V7/5zG/su3tU+sJ2vseYZUrt9eeUr2t11n9thx2W2Z/Cn0xj3LDJ1N9seWgoJpOfcN+6IZVsGap6V/9GgObo6h6S072v3DLW3q85RdDr1uh2Um26ZXsEcQBEyYMAHr1q3Drl270Lix9jTmU6dOAQDq1KkDAAgPD0dCQgIyMx/2rr9jxw74+fkhLCxMn+IQkQML8q+ifSIDFZeVG9QBoSamumFddriyrfxRA4cmr5CvpcmVydZuqDNyjcuO+Gp7ItacuGH2oJg5613G/iaW6LPHEuylzx4pe6yLH0vWv+NeZxZ//R5G/XoElzLyrF0UGV2OEk83/Z/hGhosMMdhe/iq8nXPWqcHazbjyjRTc3ON5Fa4fYNqFlusNRM77evKQ2QYva4KUVFRWLZsGVasWAFfX1+kp6cjPT0d9+9XRuKTkpIwa9YsxMfHIzk5GRs2bMDo0aPRu3dvtG3bFgAQERGBsLAwjBo1CqdPn8a2bdswdepUREVFwdPT0/RrSEQmJ3+zY2yHiaFBqkfGalDdfMGejrNi0XbGdr2G/7ZYhdOIG8kTKffQPmY7Vh5NUZ6tIX3C2PBN7Y17Bj4B1pPiNjDXUzfDfh/VgT1TskS/EXbWistu2PDhqxNrxgCH/3gI+y/fwStLjlmvEAbo1qSm3t/ZecGwoc1V/TzSfW7dyRvoPX83EtNtJ1jmqMxxSXI14KRsmqbEpj3otW0aez9HEulCr2DPjz/+iJycHPTt2xd16tSR/fv7778BAB4eHoiNjUVERARCQ0Px3nvvYfjw4di4caNsHq6urti0aRNcXV0RHh6OkSNHYvTo0YiJiTHtmhGR2cjfZKbcNS7tVj47QT6d3JwX4fziMpSUV+jZWbPt35FOXHESuUVl+HBtAgDjK1+WTCe21cCSefvsMfL3kfvb3rJj5Nlb2e2suGSE9NwiaxfB7ApLDMtyVRUIlh7Lk/8+jZSsQkz6+5QxRSMdmKXJu41ej50BR04kU9Org2ZtFf8GDRpg7969WucTHByMzZs367NocmLrTt5A41pVLZpWSlrIXYyMvRlWm0FugcqGLdZnTBlckNhwMy5bJn+ps9UgFCAuG39ezRJu5KBBjSqo5u1h9LxseZ+Qx74fjOeox5W59own29UVvS4uM765tLWuXbo2bzNH+fSZpXliPfrP1NDtIB/sL6swLlNciR2eAq113maQyXEZ1EEzkaUcT87C5L9PY+jCg9YuCskx5dDr6p5K2VKnkbqwhcukYiXB2DLZ8i9gy2WzFPnf254raubO7IlLuosnFhxAr892m3U5ZD8SbuTgRIr2fozs+LAyO1WbxhwjKemSAWmO68G6kzfNMFf7YMl4g/wx9tuBa5ZbMJGTYLCHbFrS7XxrF4HMTF2lwpYfSldUCHj9j+OYseGctYtiXhb8DWzp59ZUFpsqpwUye8x5s5tXVIqvdlzC1TvmPc/vvFA54mdecZlZl2NrbGlfNYRp+gBRVlpegScWHMCwHw4hr6jUKmUwhC7HovxvnplXhHlbLmptam3wgxVVI68rzsved0I9nbuVY/FlmqoZV37Jw/OjPnOcufEcHvtmH4pLDcvKkQ/2J90uMGgeRKSeXs24iIgU3S0wbtQIdSmrlgj2GJoue+ZmDnacr7yBnPFkKwC2mVlha0WKv266EYHMtWrmGMZWkSAISvuLsfu7rf3Wupj93wWsPKb7EMOGcrL7zYdMvOI/7knC+lM3sXJcN5M0h7MW+Y75c+6XwtfLXf3EdnhcSb217ASOX7+HdSdv4MhHA9ROp/6Bi4DotQkI8vdS+bkdbxqTkg8ILj+SgjlPtzF6nvocuqYK9siPUKpP3WjJwWQAMMnIddyniEyPmT1EZJTfDiQb9f1kuaeOokwFG77ql+kxipe+bDmjyVjDfzxksnmZazO1mr4VG0/fergcc/SH8GCexu7j8kUzVwaCOTMbTqZkm23e8uRv7rMKSiyyTFuQqyVrRV+fbb2Ii+l5+Hn/VaXPrt81/RN5+f5eTBmEPXz1ruxvbce3DV+GtDr+ILiekav5gYy689DF9DysPJaKb2Iv67xMs1y/7OhHMNXIgnsSb+PzbRf1HETCOKK+6gz4vikOUVPX+7RlrZVZ4OGOvmyvRGTvGOwhIo2KSsuRr9D8QXSTaaaKmK0FPeyhs2PFTWbsNrTkT2CJjBpdFCmkop9VSMvXd5sKgoDULO0j1hnSlKLCEu24HMD6Uw+Ddx1m7TBLYMIW3ck3T2CrpEw52G3oiE6a3JUr//1S081/yqozOk8rbWJyN78Yuy5m2Mx5Sh1Tdu5arOJ31rp8ky39IVs/tYnqBiYs7cLdSXj7r5NapzPHLmnJ+peLFe9E3/7rpFkf3hlCPhhtSbZaryXjMdhDNs2W2ss7q0didqD19G24r2Nl/lJGHv49edPoSqe61OSqno7d+tSWbiUUg3zmtOGUbXaGueVsuuh1wk3lPhlu5xWLUuDlfbvzMnrNF3cMbKrfWFsmXFFpOXZfzERhiWX7qikoLlMZEFBkqcql4n68VeE3JeOZ4+ZQfv8w5fDS+ux30mkf+3Y/Xl16HN3n7cTp1Gx8uuk8zt/KNVmZdCyNWea6//Idg5amS9Nlbb+aqX5WW3k4ZKrMHqm4q3e1ZveY7tiwzkaU77PHFHV++fN9ppasNgC4ese2gv+61rVNzVrHUPKdAlm3CGQeDPYQkUbSJ6rX5C6I8pdjxZF0Ir7eh0l/n8Kui5lGLTctpwgHVFRC61evYtR8DSXR8MpWiZ842rYULdkv90sqAxeGPoWbs/kCnlp4UBSUKSmrwPHkLI3fUwzilCosPyO3CJ1nx6LL7FiV39e1CYQhFS35bCBVv2/MpvN4ZekxnZ4Oq6NvQKaguAytpm9Dz892GbxMY5VXCLiQlouKB4+8OQS5dfwRl4zXfj9u8PDb8tcWU/6EEj3mK51SesOdkVuMpxYexC8HruHx7/bj7b9O4rKefZXkFpVi27l0kwxLbgrq+lI7ek3zuVHlqcHJjzVz9N0XvVZzJpohm/z7nZfxxp/H1c5HcZZFpeXIKTRts1ApU28x+eCXuZpp3SsoMcl1peLBtcrWMwbNqe8Xe/D6H8dV1vfJNBjsIdtm63eoTkTfZiZnb+r21NPHQ/VQrQk3czDy1yM4eMX2LgD2ku4q/5TM1qsS2irJLadtxStLj+GdlacMmv/ifVdxOjUbmxPSAFQGej5al4BnfoozaH5SRx7cEOUW6Z49I60kGt1njyizR3lmK46kAABiL2TiuUVxWkceMoWzDzKfMo3oa2LxviT0nr8b6TlFGqeLS7qLAV/txRGFtPep/yZg8Lf78XXsJYPLQOqpusdRdX2Ytv4cYi9kYNXxGwYtR755R4Wam6GKCgGjfj2Chbuv6DxfffpB0XZe2nD6FgZ+vU+vpoFjlx7DG3/GY+7mizp/R1fqguaGZPfN3nxB4+eqNo1yU2Ll3239qZsYuvAg0nLu61QOWxz8QB1zFFXbCFWGZPZ8ueMStp0TZ1Ok56o/33aZHYt2MduRXahb01BrBtjlfwJdSqHvT7Y7MROPzNqBxtGbMWLxYeTcN/y6+k3sJQz+dj+m/ntW9p61Np2h+670t87MK8JXOy7hVrZuxzUATP77lOzv0zeyDSsAacVgD+nss60X8fQPB9U2VyDLS80qxJfbE3En33Kd+ClSl7asa3Doxa4NNX6u7emiMcx1UU2+U2Bzx0mBjQ87rWs9478HwRpDlZULKC4rR8dPd2B1vP43oaaoy6va7QzZFeW/k5iuObh69FoWfjuQjLf/OolP5CqW2ljjNmvO5otIySrEF9sTNU434ufDuJKZj+cXHxa9/9fRyhG+vt91BSl3C83Sp4W8q7fzZcO760pd8MJcWtX1M+v8NZ1LDT33yGf2HEvOwm8HrindRE7bcBb7L9/B59sSddqmik/QtV2ndN3/+3y+R8cpgWPJlZk0axTOP9rK/9vBa1rnfV3NMOuahsX2r6JhNDI9Ke4HqtbonZWncCo1GzEbz+s0T0udg4rLyvHDHnHQcPLfp/Tq1P2qGYYO1xY4MVVWyKEkuaC5wjKlDzPeXBaPP+OStc5L17rVxL9OigbpkEgMa8Ykvw1EwUFBwOWMPI3BTvnJFettqVmFOJ2aLXpPPls37updpX1GH9/tqvzuX0dTHhbZhh/N3c0vRmbew6BgalYhus7ZiYW7r2D8shP4budljPz1iM7zW3fSNpvvOxoGe0ilewUlOJacJbrI/LgnCSdTsvHfGeNutkiz7MISnW8Env0pDt/vuoKJKwxvpmEuujZfaRboa+aSmJ62yuc7K08afIMjf8zp83Tsi22JSNOQCbH0ULJB5bEYC0YVNp1OQ56umThabl6MKbaqJ9Z/Hr6O91ed1q0CLzdJSZmAnPulmLvlAhLTVTcrOZ+Wgw2nb+HPw9fNFmxwURP9XbwvCZ9vE2cyaHtib4qOMz/+N0HpPemaq9sGV2/niyq02vT7ci/G/n4ch3TMQly4+wraxWzHlcx8nZehSlZBCZYcvCa7GdX0m7ZrUE30+o+4ZKw6nqrTjVVFhYARCgE1S5A//Y37Mx4xm85j2zlxf0vLDqdAkwtpuaLz6Iif9VwPM56XpKXKyC3CxtO3sOaE5uCzMXUvxUNNfpsYk5lgjPziMpu6rV289yrmbxUHmNedvIlPN+kWlAKAvZdu6zTd0oPXMPzHQzqNmKdtG11Uc77Xly6jcR2+moVP1p/DBrkRK1XOS8dlblSYz5FrWWg5bSv+0CGgJPXT3iS0nLYVCTeU+9M7lHQXA7/eh4iv98nem79VMaOu8uCIv56F0E+2YvZ/D3/vXvN346mFBzUOspCvUJe4dqcA76w8qfY6bKuyC0sx5Pv9osCTvIoKAR0/jUWX2TtlQbHPtl5EZl4xPt+WKGsOao6AJxmHwR5Sqffnu/HsT3GIvaDc74pinxVkOonpeWgfswOjftMtMi5Nuz1yzTq99wPA7kTdKjdqaeszwUYyuMWjcWku1J38Eq2VnaUHr4lufn87cA2R3+3HPbl28a8uPaZz+RZoacZg65k9+g4xe0ZFxU4XAgS8t+q0Qd8FdK/MayzDg51DvpmS9Obrk3/PYnX8Daw9cQNLD17TGHSQfwI47o/jaDdzOxbtvYpB3+xTOX1ZufzTT8PKvjr+BuZuvgBBEJBwIweDv90vams/V6HpR2pWId79+xTmbL6IhbuTkCL/FFfPZafnFGH2f+dF81C0XqGjb3Wdz34TewmdZscqVeIzc4vQ78u96DJ7p9plqDu2X/zlCL7ecUlrls/n2xKRV1SGD9acMaoT9Df+PI6ZG89j/LJ43CsoQZc5OzFVRXArLec+cuVu6GPPZ2Da+nOYsvoMWk7bqhRAUXTmZg7iFJrKrTspDkz8duAaes3fhRv3lH8bfW7o9126jVG/HsGhK3cwSS7FXyrpdgHyikqRlnMffx/THOgBgMHf7seSg8my14qZotri6fdLyvG/1bqdL55aeBAZD67JmXlFEAQB5RWC1sBt1zk7MfGvk5iyWvdRwvSlreNbQRBQUlaB1KxCnR8y2NIAGqbIhlDV+T4A3LinuVmKIVthxsbziL9+Dz/vu2rAt81DvvlNrpYAoLZ+4IztNHra+nM6Tztvy0WUlFVg2obKjFX53+P4gwCE/G/4w54klfORNqv8eb9yBp0oMK+wborX0jG/HcX6U7cw/MdDuq6CiCjoJgi4qUezKEX/HE/Vq85y9mYuotcqX0MAoETu3k/a8bW1Os4n/TDYQypJn3qr6mTXHA+E84pKsenMLYuPGmNrpBH1g1f0C94Y+pNk5hVh27l0nbIIfpS7QHq6KZ86cosqswr0JaDypvGumqZo2vrtMIY0YJBzvxRvLY/Hdi03PZqIM4e1b88ZG89j4e4kXMmsfPoTs+k8zt3KFXWEbWwgTVQmo+ZkfupuylUpKC4zuOmisXWTH/ckiTpWNbSCciv7vsbK4JTVZzBj43mM/vWo2mnk1yVPh6DBTiM7Tb9XUIL3V53Gon1XsWjfVTyx4AAupOWK0rZPpGSLvjP292NYK5eqXVRWjvO3ctHow/9wPk1z0zPFn2rcn8fx8/5reGGxcj9LN+5V3qTq2qfTN7GXkVVQgi8VmopdUHgae/jqXfyy/6pSlutPe1XfMHy78zLG/n5cFLy8lX0ffx1NUWoiEH/9HlpP34Y7+cUGBX2kzYGOXMvCssPXcSe/WCnT5a3l8Qifuwub5LJCFB8OvPFnvMbllFeIH/D8cuAaJv8tDoCsPXkTqVn38dlWzU3vtBn921Hsv3wHL/6i+oHH59sS0WbGdoTP3YUP1ohvStQd2ov1uKFW7DS5rELAPzr2OXQ6NRsjfzmCf46nosvsnZi58Tz6fL4bfb/YrTLrShAE3NOjiZBRHpynSsoq0OjD/9DzM/EIgSN+PozmU7eg1/zdWrNypf1yqTr33dVjfUrLK1CsQ3NnxeWYKytR7Vw1nONjz2fgQzU3x7rQJbPOmGvW+Vu5+OdYqk51EvlsnWQNAXVdyI94+EdcMhbsEu9TJWUVaoMKUoUlZTiUdEfnZmrSVdT3mnwipfI8qnEpesxT2m+WtnP6bwdUN8uUL0fMpvPoMW8XfjcgM/tSRh7+t/oMxvymvg5hqL+PpzwIDJtuntfvKO9zZ25ky/bfzLwibD2bZpKMX2fDYA9pYd5bxL+OpuCLbYl4a/kJTFhxEh8pnPwZ6FVPeoEyxoAv9+KNP+OxYJdyVsg/x1JxWO5p7qYzabLAy9wtyh1Lzt50AYv26v+U6lRqNp5YcAAdP1U9mtHKY6mi1yUmPNFn36+smH4TewmbE9Ix7sFNT2l5Bb5VqPDqc1GrEIDdOt5YFxSbr28f8ROih38fuXoXUctPyJ5Cm0pGbhGGLjyo1BcFUJkxoY/UrEK1lfoP1hj+BFxTJ5SquLkqn4VK5TNkFM5S3++8jGWHr2ucpwBBdGxpoilFX9suqWkYYE37c05hKbaerRwtSL7i/MisHbK/56k4ByinxwOXMsRNlfYm3sbj3+1Xv3ANpMHZWzlFShlEPT/bjcbRm/Wep7YOZV9YfBif/ndBKctVuv7qsozk+/kY/O1+RK9NUNthdKdPY9F6+jbZTbS6smjy5Q7V896coBzAVvXk2lTO3MhWCpjo03mxOWjK+njplyPYdi4dSw5ew7HkLLSYuhVfaekrSpPLmfn434MMnaWHknHj3n2kZt2XNdeRP24KSspVNjM01v7Lyg8JpMfx4G9VZ/0dvvow4+nbnZqDPZoCOooZIZp24cNXs7QGGgHleuDms7bTlcBrfxzXPtEDgiBgyqrTos7EdTnCjclaevy7/fjfmjOi7D1L9Bcm7aC/vELAtPXn8MX2S0hMz8O1OwV47fdj+HDtGbXNhaR6zNuFF38+Iquf5haV4o0/jyNm43nZuVHU7P3B/yeuZ+tVVunxelHDwwdBEBCXdBefb7uoNMKXoRluMWqaB8ofM9KsxOkbKjOdSso0138vpufif6tP41b2fVxSMUpgRYWAX/ZfxUkD7h/kr2kLdyeh1/zdJg32/H08VTQ6aklZBZ5ccPDB/puBgV/tw5vLTuC3g8p9t5FmbtYuANk2baNu3My+j3f+OomxPRtjcJs6es9fMbL/76lb+OaFR/SejyXczL6Pu/nFaFu/mtmWoe4Edr+kHFUURq3Stz1wzv1SFJeWI8DPS/aetNO9r2MvoXvTmujcqAaAygDM/1TcUM/fdhGNavqo7LDwXJpyCvSVzHwsO3wdb/UNES1X3r5Lumd0XEzPNWl7YOnmlh85KOd+KRbuvqL0NFjbMObyF/y8olKzpuQbQr780g5tTZ1JN2fzBZxKzcap1GwM71hf9v6ZG9l4csFBneezOv4G3l91Gk+1r4tvVZwPNhnRd4WufUnpSj5gdu1Ogeyme2S3YLXf2ayik+n7peXw9VLdUeqO8xloU88fQf7iY0hTCnV5hVDZ3FDHSlFJWQWWHrqG3s1r4/1Vp3H2Zi76tqgtOydok5lbpDY9Xp62EX5UUXX+W2RE8wf5G1JBqDwOvD0qq0PqtpaqgMX1uwVqM4kGfbMP/UMDkJ5bJOsTZdHeq4ge3FJtuYZ8fwArx3VDcE1v/Lr/GtafvoXFozrikYbV8c/xVPwZdx2LR3dEHf8quq2oEXZeyICHmwt6NautV4X++t1CvP5HPP54tYvsvb+OpuKlrsFoXc/fDCV9KDOvSOW2kZZfVRDkZvZ9pYDDdyoefpjC7bxipYwwVcE4Y4369SiWje0qek+CyowcbSM76aJUww2nvs06jqsZ9l2TmyqaVal6Txefb7uIGj6eGNuzsdr9XFPQXB8nUrKxSuFByP3SchxKuoMuOp5nDXUhLQ+Pta6so6tqHmkOE/86iRS58+bq+FTsupip8z4obdL+dewlvDOgGaKWn5BlALu5SiAIAhIzxM2rjidn6dVBsLwCDVlWr/8Rb1BH2PnFZRj09T40qe2DzNxizH+mrVL/abr6esclfLvzMla/GY5OavaXx7/djwqhslXGnXzlevq6kzfx6X+V1+DkeZF6LV9VVwF3C1RnWH+66Tz+91goPORaAeQUluLXg9cwtH1d3C8tV9mZ/DM/xeHa3MchkUhEWf1vLnt4jp6z+SJ2X7yNv8Z1U1vWH/ZcQVZ+CaYOCdNp3RwdM3tslC1HLeWLNnVdAo5fv4fxy09Yr0A6EAQBBy7f0avpxw97rqDX/F2ym7ke83bhyQUHRc1sjHUlMx+bztzS+nsbm4Y5Z/MFtJu5HV3m7MTtvGIk3c5X6ttiidxIH+o6o1t74ia+UvMEWdUThye+P4Clh5Lx9kr17bvl2yNrupYWlZbjsW8MywhQR9V2P3H9nsq0/4zcYjT68D8s1WFEFE2VBkXmbKesbd7a+iIAKjtQ1HU0EsWOCqX0HXpZmvK9/pTmTiClBEGQ9UkkCILS8LD6jKaiSDRCyQPSzZqZVyR6OvfoF3tEZVJHsQkMALz3j/p+QV7/4zi6zd2JV5YcxVq5Tlw1nTZCPtqssXJaoBDo+/XANczZfBGPfbMfZ29WPuHck3gbn2/TLcvh1d91719KV6lZhYhem4CW07bi3C3D+mhSRT4oteH0LYRN24Y5D4JQ+lx7/z6WilMKI7XI23kxE+duaW6qpij2fAbC5+7CLweu4XZeMZ7+4RAaffgf/rf6DBJu5mDCipNYsOuy2mavppBVUIKxvx/HqF+PIjOvCPN13Aek9qnoIyJWz9HKDLFcTWfNAiqb+Y3S0CTS3CSQKGU8mdO3O8XX6QOX72DI9wd0/r6q31Bq0T71Qd0/4jRnNZrLMz8pN+3UJul2PhbuTsIsLR0wq8vc0LfppaoROlccScGLPx9RW69S5aKGkRfV9akpXxfQ1rmyPtSdLwVBwMbTt3Barm+9e4WlBgcb03OKRE29F++7ip/3XxPtp6dv5GjcD95fdVrnY/BKZj6GfP+wvqkt0FNQXIa3/zqplNHdevo23My+j/2X7yAxIw9PLdT+0Kte9SoPMqLEo2ZKM+5mbHzYn5Hi9pcWU1WgB4DKbB91CorLRM0MVWU+SZsSK/rlwDWlTrY/+jcB3+28jH5f7kXkdwfwlpr7xo6fxqKiQtBYf427ehclZRV475/TWH/qJu7kF2PowoNY+SBbbP7WRPxy4Bq+2p5o0/fTlsLMHhuzaG+SrIlMzFOtMDq8EYDKA1oQ1I90Yi7ajpFsK43ioK//EtIwYcVJVPV0w9mZg3T6jnRUhm9iL2HusLay98/fykXjWj4Gl+Vm9n3cvHcfXRrXwICv9gIAvF92Rb/QQLVPlY/KpTaujr8BXy83UfVDsUM3xQ6E5YMXZ25kY+zvyqnHx9WctHWl2FwDqHxqBUDlKAmqrDiivqJoTAfDv+xXnQUwZ/NFLD+Sgtq+nrL3flYzrdSMjeexYUIP2euy8gq4ubroXL6c+6U6j9qjTVZBCa7dKVDZgd+p1GyVzbh2Jz6sjAgAwur4aew7ZeJfJ9Ei0BfbJvc2uJzqOr7UVZ6WEUve++c01p68iU0Te2LMb0dxt6AETWr7oLxCwD9vhOu8/+lj+vqz+F3DjU2FAKhoASZTrBAc3X/5Dp5fpPmGZXfibexOvI1hHeorjWKiry+2JWJIu7rYk5iJd/o3x5kb2UbNTxogkncsOUvFlLo7kZIt6wNooZYOyI21eN9VtK7nD293V+0TP2BIFVLbTYO2ecZfv4f46/fwxXbdbw71JR8s1dRRtSbHNfz2iteootJyzNhwDhe09OGkjQBB5UOH23nFOgW2zalCELAm3nLDDCvW3fR9IDdawwOm06nSPntUn+A0na916W/j6LUsdGlcA0Wl5Xjvn9P4T0UmpKGKSsvh9eAYL9SxCXXc1bs4cyNbKatb3Qh1ig8XSsoqRBkOqmjKilT8LX9UM+2fccn4ZP05DGlbB5vOpOHpR+rJPtt9MRPlFQImDWiusRz6+lNLk2V5q1U079ZVt7mGnYcUl69rGaR1c138dTRFth1MEUhrUL0K/j15U23gVBAqHwDn3C/V+LBB3p+Hr+Px1kGi9xp9+J/a6YvLytFq+ja4SIArsx+Hi4tEqT8+bU4qTB+v4z1GVkEJUrIKtQZTVx5LwZoTN7DmxA0M61BPllXeNKCqbJrvdl1BnWpVMKJLQ73K7mgY7LERRaXl2H4+Q9QXyrT152TBnrG/H0dqViE2v9ML7q7GJWTFX8/C3kt3MLFfU63zUtVWWP4d+YP5820XMWVQqE5lyMgtQpSGyscv+6+iQQ1vUWXi3b9P4cvn2mkdCUmVnQ/6WzCkE0z5EWwUFZaUYcOpW+jfMlAUMJAnCALO3cpFiyBfuLu6oMe8XQCAJa90lk3z6tLjWPVmuMbgWn5xGTYnpMnaF88b1kb0+Y97ktCtSQ08/UNlp6+73++rMiglTeFUlJlXjMNX7+K/M2loEWTa4dALSso1Xlik1F1MbtwrlFXQ5KXl3EeQn5fGfSL++j2163y/tBwX0/NE/aKoSi1VJP+kL2zaNrzUrSH+Pp6q4RsPtZu5Xek9Q0db6PnZLhSqySIaqvAESXosv7JEnIHRLLCq1o5yE+WeBq04koKzt3Lw6VOtdQ4+61ohUUfbDbC0A+Cf91+V9Schbe73TewlDGgZaNTyFaXnFmkM9ACVT42bB6o/jlR1Tnnkmm7BkUNJdzBRy2go2uxOvC1bh0V7ryr1Q2AKI9V0smur3v7rJBaP6ih7LR8YVUXdTZcmIR/p36+QJWw8fQtPtKsLwDSDMKh7wn47rxhPfH8Ad/KLZfvcaz0bK/XNZghBgNon5y9YYeh4eX8dS1HbZ5M5mPVZtkT0nxL5Ps3yi8uQmlWIn/dfRZt6/jpdC55bVNmU44+4ZJMGei5n5GHggyG4V70ZrmKgCfVb7ckFB/Fqj8bw9XLD5IGVARN1DzE6yPVtBlQ+4Knt62lQMyBA9/4CP3kwgpW0mfM6uY7xT9/IwekbOWhS2/AHlaqoGzVLXZ3LEel77bydVwz/KqqbbAPAssMp6NSoutrPr94u0Dtj9JN/z2JZ3HX0aVFbp+mlwfEKAZi58Rz6hgbotTyg8iH7mAeBW339tDdJ6zVBPntp7YmH+7ritSdm43kGe6xdAKoU+d1+jemN0lGxTqdmq22rKXU3vxjrTt7E04/UQ82qygGI4T9WHgh+Xm54rVcTrWUrrxDEFVQ1V56Fu5OUgj1XMvNR3dtdqRwfrzurtq12wo0c2YXii2fbyd5fe/Im3nq0qShqC1Q+KSosLYefmv4uKoususxl5RVYc+IGujSuqTZbR9Np/ON1Zx9cUBPUtn/9ae9VfLb1IhrW8Ma+/z0qe1/xpvvZn+IwSkM/H2N+O4p4uW22+ay4rf9nCp2jfrDmDP55I1xpPpqaoRlaITZ3mmRGbhEa1lD+fcLnVgbOJvZrivciWqj8rr4dA+sSeJEPgpaUV4iG9tXX7ou3Db4JUBfoUaWsXFDqVPdKZj5qeHvoMY8KfLSuMkgxsGUgHlWoAKiKuRmybyg+9Tcmn3H9qVtG9fGjyroT2p/QX7tTYNImn/JU9fmjrxS5pprmCPQAytlL9kB+S8ifoy1186LYSbOlTPzrJCJaBcLTzRXmCBVkF5ZCEAQs2puk1En6L2pGpdHXssPXZf3Q2ZojV43LctNXvAF94ehKGuNX94xF/pyfVVCCl5cc1bv5zoCv9qJL45oqP9udmIk3+oToPK/yCgFXb+eLsgNf+vkIVo8X148UO2FX9NuDJtzv9G+mV5b92Vs5eLRFgFKzHH2k5xThy+2JGNO9kcrzta7Nk25l614fqqgQsPxoCkLUBIi0NX+zJ1/o2VTVGJ1nx6KJhtYBaTn3IQjqgz33dRjBTpXEjDzRgztN+n/5MLPp97jrWh9uqfPn4evo0rgG8ovL9BocQ5fgv2Jn8OoYur0cCYM9ViZNZ1Z3IbyTX4xaKgI2mry5LB7Hku9h69l0zHiyFbw9XNGkdlWl6a5kVja7KSotx8Erd9A9pJZSJ5iCIH46AGiuBibcyMEX2xMR9WhTBPp5ylIhFQMhmtrv385Xf0Ioq1C+eYj87gASM/Jw9KP+qOHjATcV2Upb5AIjb/x5HP1DA/Fc5wZYfiRF1su9tIyl5RWijCd196p/HU0RbZvcolL4eblj2eHr2H/5Nr4b8Qg83VxlQZgUNf3gyNM0wpZi5U1Tm3qgMhW60Yf/wcdD92YJhnrJzE/wP/n3HGr4qA9KfL/rCiYNaA7XBxWwrIIS/JeQhifb1TVLnzjGBHcU6RvoOZ2ajbrVqqjNJFNHMYNJ6qiOTW3ir98TDRWeW1SKotJyPL/4MLqH1MQHj6nO6jO2A9Lvd13GmzpW7FUdq/oExHRVquI8pEiXUWYMZegTYnuWlqNf0NZQ1m7er2t2lzlkFZRg7YmbqF/d9B1ALz2UjPziMlT1NF+101YDPcDD+pYjKCqtwM3s+zpfWw3ppyXpdoHa7x1WCJxpajYmCILKbDrFUT2NGYFNm1eWHMO2Sb2NGs580t8ncfhqllIHz1K6jkC1/Zzu1+PVJ27gk3/VB6h+NVGQ1hao6nzYnK5qeBBUVFqO23nm65PNGowZQVWdpQYMR++s2EGzFRWXlaP/V3sxYYX65kydPo0Vfa5LPVTaYdbx6/cw5PsD6Pel6ran0krtR+sSMPb345isood+AUCamkwHVaNBPbHgAPZeuo3nFsWZ5MmSLv1SSCPVo387iqYfb8GhpMr+UJYdvo5mH29Galah6AnztnMZspGmFG90p60/i5afbFUaeSVZ4cR8/W6BUjOM9g+a50z99yy2nctQ2T5/7FLNnZjqm5qpC306CzaUqk5sTel8Wi4OaOnnZuJfD4+TrnNi8cm/Z9W2qTeWYgDUnOSPo61n0/DUwoPoPDtW74wlY72/StyBcElZBQZ+vRenU7M1Nmcxtt+WhbuTRKOlaWLKjic1UTwfWJq+I/E5gtQsy/S5Ir1+OKPwubvw+bZEtSOMGWt1/A2nraAb2lTXVkmbo6ti6XippqZhcVfV103kR4jUZwQ2Q9Zv0Deqh7zXxc3s+7isok9EeZr6yJJ3Wo/+68zR1x1pl3S7QJZFZu82nr6F8goB/5k4u5r0w8weK9p/6Q6u3i7QOpS0qiYISbcrT/whKjJ2NJHvvFA6RKa0rePWBxF/+eFJL6bnKnVolvLg6cSLP2u+kc7IfXiDtunMLQxpW9kfgLZmHT/ve3iS26she0Wxk0dp1sKLPx/B1MiWsrT7XvN3a1yePGmHaOOXyQfYBIyQW9cKQUCfz/cofVfxYXt+canSuu68qDlNmAwnn0Ei7TPgfFoudl/UnAFl64b/eAgXZz0GTzcXvCm3X3aZY3yHhfpQbJL064FrGm/AG334Hx5rFaQ0XLg2+cVlSstacUT1KDvWsu2c+UcW0kTfjhIdgT4jKRrDWqMJEdkbVZ2yA5bJjrt2pwBuLhJM33BOY6ZjuhkyAgVBgA7JnSZ1V8uIkl/qMZqXrvTpfJlIHcUuJsjyGOyxQ38dTZFllVyc9ZjKjmvVkc9GWRV/Q2WfPfLDk6q6mP9y4Bo+jmyp9eIjf4BPWHES3UNqwcfTFd/v1PwERdOTGKmTKffw9A+HED1YddMRXfpXyC0qFT2ikb+ZkO+wdq1C/xyaRk2QH8XkYlqeUkd9ZF7X7xYoPQHTteNkWxb6yVaE1fGzdjFEFJuEDfl+v9L5Yuu5dNTU0PxO0YbTt3BCRUagI6WLExE5sqcW6D7Eu6Ee/WKPTtOpC0gZQwDQ5wvdHyISOTP50YDJOiSCHQ5An5ubC39/f+Tk5MDPz7ZugPTx0boEvZ9Yr3ozHM/K9TR+4pOBqOHjgcKSMgz5/gD6Ng9Qmf63d0pfvP3XSa0pnL6ebsjTYcSqJ9rV1Xvo3xFdGqK8ogL/HDd8+MWtk3rB18tdYwqxPga0DNDaKZ8+mgZUdai2+URERERERPZI3QA69sAUMQ9m9ljJtnPpJm2aEDZtGwDg6m3VT8CnrD6jU1tdXQI9gG596ShaeSzF6PTelUdTTdrm35SBHsCxOmEkIiIiIiIi+6RXB81z585F586d4evri4CAAAwdOhSJieIe7IuKihAVFYWaNWuiatWqGD58ODIyxP0bpKSkIDIyEt7e3ggICMCUKVNQVma7oyiYw1QNPdxrUqHQNrmsogKdPtXeVEjXIerMyRQ5ZM7auSMRERERERGRrvQK9uzduxdRUVE4fPgwduzYgdLSUkRERKCg4GFnmpMnT8bGjRuxatUq7N27F7du3cKwYcNkn5eXlyMyMhIlJSU4dOgQfv/9dyxduhTTpk0z3VrZgbJyw3p3e15hdKGJK07iTr7mvnMA5f41iIiIiIiIiMgxGdVnz+3btxEQEIC9e/eid+/eyMnJQe3atbFixQo888wzAICLFy+iZcuWiIuLQ7du3bBlyxYMGTIEt27dQmBgIADgp59+wgcffIDbt2/Dw0N7Z56O0GfPIzHbca/Q+tk2RERERERERI7G2fvs0SuzR1FOTmUfMDVq1AAAxMfHo7S0FAMGDJBNExoaioYNGyIurrJT4bi4OLRp00YW6AGAQYMGITc3F+fOnTOmOHZFfshwIiIiIiIiIiJTMbiD5oqKCkyaNAk9evRA69atAQDp6enw8PBAtWrVRNMGBgYiPT1dNo18oEf6ufQzVYqLi1Fc/HBY7Nxc0w+lSERERERERETkCAzO7ImKisLZs2excuVKU5ZHpblz58Lf31/2r0GDBmZfJhERERERERGRPTIo2DNhwgRs2rQJu3fvRv369WXvBwUFoaSkBNnZ2aLpMzIyEBQUJJtGcXQu6WvpNIqio6ORk5Mj+5eammpIsW1KTR/tfRMREREREREREelLr2CPIAiYMGEC1q1bh127dqFx48aizzt27Ah3d3fs3LlT9l5iYiJSUlIQHh4OAAgPD0dCQgIyMzNl0+zYsQN+fn4ICwtTuVxPT0/4+fmJ/tm7utWqWLsIREREREREROSA9OqzJyoqCitWrMD69evh6+sr62PH398fVapUgb+/P8aOHYt3330XNWrUgJ+fHyZOnIjw8HB069YNABAREYGwsDCMGjUK8+fPR3p6OqZOnYqoqCh4enqafg1t1N5Lt61dBCIiIiIiIiJyQHoFe3788UcAQN++fUXvL1myBC+//DIA4Ouvv4aLiwuGDx+O4uJiDBo0CD/88INsWldXV2zatAnjx49HeHg4fHx8MGbMGMTExBi3JkREREREREREBIkgCIK1C6EvU4w5b22NPvzP2kUgIiIiIiIickjJ8yKtXQSDmSLmYfBoXEREREREREREZHsY7CEiIiIiIiIiciAM9hARERERERERORAGe4iIiIiIiIiIHAiDPUREREREREREDoTBHiIiIiIiIiIiB8JgDxERERERERGRA2Gwh4iIiIiIiIjIgTDYQ0RERERERETkQBjsISIysya1fKxdBCKb9nibIKx9q7u1i0FERETkMBjsISIys65Nalq7CEQ27YeXOqJDw+pInhdp7aKQDanm7Y4eTXn+JCIiMgSDPUREZvRW3xAAgrWLQWQWy8Z2NXoekW3rmKAk5IgOR/c3yT5mL8Lq+Fm7CERE5EAY7CEiMqPwkJqo7etl7WIQmUXPZrWMnoevp5sJSqKsXX1/UaZQaJCvWZZjL1rX80OAr6fovacfqWel0ujGy90VEonE4ssd0DIQZ2ZEYNWb4fjhpQ4WW+6GCT0w++nW6NK4hsWWaQueaFfX2kUgJ/fx4y2tXQQis2Cwh4jIjFrV9ccbvZtYuxhEJtWuvj+iB4eaZF4DwwJFr1sEmjYoM653E7Ss44eYp1qbdL5SS17pjMa1fDCqW7BO03t7uJqlHNo806E+jn48QPb61R6NUcXIsjzZri5+e7kT/nu7p7HF0+i9gc1lf1dxN832i586AANaBqr87KWuDeHn5Y7OjWrg8TZ1MP2JMEwa0Ew0zaVPB2tdxjMd6+tcHj8vN7i5uuClrsH4541wHPmov87ftXdfP9fO2kUgG9W6nnmy3boqBFRf790EwzrYdvCb9NOmnj/7AgSDPUQ26ZfRncw6/1d7NDbr/G2Zh6tlT3s1fDzgY6bMBSJtxvcNMct810/oiTf6GD/vNeO7o19ogOg9VxfdMzk2TOiBuOh+qK2QsQIAeJAR8tHjLbHlnV7o0rgGHmsVZFR5VXm0RQB2v98XnRpVV/n5U+3FWQuzzBR06tbk4c3LmvHqK7gjujSEu6sEr/ZshF5NDc/M8vFwxXcjHkG/0EC0quuPCIWgnZe7cefaBS8+Ivt7Yv+HgZb3IppjycudjZp3vWpVULOqJ34Zo3ytnT+8Lfq2qC1675UejTFpQHN8OrTyt2tdzw8ebprXb/KA5npda2c+1Ur0OtDPC0lzHkf3EMfus6hr4xpwc3XB9yMegRWSuAiVHeRbUpfGNeDrpb1e9GzH+vj2hUe0TmeIn1Uc+9Lj217Fvttb9Lp5YFWTL6NNvcqMWXM0v36uU318+axpAr8Na3hj48Se6NBQ9XXZmTDYQ2Rj3uobguo+HmZdhuDEfcjs/+BRvNC5gUWWVa9aFYssx571aV5b+0RqRD1qeLDhy2fbYdd7fWSvOwXbVoXg5CcD8fe4blj1ZrhR86lqgUCj4pOzsT0b4+XujXA+ZhCe6VhfVKl/o8/DLLcq7q7oGFxdqZmOthu+qZEP0+3b1q+GOv5VcPSj/kieF4krswdj2pAw+Hm5Yc7TyhX3n0Z1xCdDwkTvKY6Wp/i5rgS50+qu9/qgXYNqGNGlAb56rj1i3+2Dr59vh99f7aL2+41qehu0XKk/x3ZFZNs6+HRoa3QMro5Ph7ZWWSGfO6wNzsc8hvrVvdHBiP3+4If9RK9/GtlR9PrirMEqm0a0a1BNp3kPaSsOks0d1gYDWgZgZLdgPKoQINRX1KNN1X72XOcGapuOjewWjCMf9ce/b/XQOP8t7/TC2/2bIqyuH96Vy0pSZWpkS6x7qzuGtlfOKnB1keDHkR3xdv9mKr5pOF37BhrcOginpg006bIVtW9YDUBlU65rcyNNdrOniyfZfAwA0F6HY1JK2/6si47B1XF86gDMH95W9l7PprWwbGxX+Fdxl703UsdsSUP4ebkrveft4YaeKgLgXxiwTxpTtzFU0wBxVuzcYW3VTPmQ/IMBbXXWYR3qYX1U5bnPVcU5MnleJH57Wb+H1WF1/NCrWS00C6iK6MEtMVyPbEh1RnULxoYJms/RzoTBHiIDvWPiypfU/x4zTdMITbo0cq7+AOQF+nlh3vC2optOc9F206rvRdERKGaaGFKJAoCfR3fCuN66BXtmPCG+eX+5eyMM71gfTWo/fOo1tmdjfDfiEVkTkUGtxFkKujbRMYWXuzdCdR8PdG1SE52NPFbln2qNk2tO2Lt5bTSoUQU/vtQBW97ppfQ9+WmbBVTF1kkPp2lVV3yj2KFhdSx/rbIT3fYNquGTIWGY8WQreHu44Ytn2yFhxiDZtGN1yHTQ1o/Ma72aYMkrnfFv1MPKnPTm3M3VBa/2bIxT0yLQqq6/yu9X9xZX8r95oT1e6tpQ9loxQ0XRvGFtVL4vv12a1K6K9VE9MHdYW7i6SNA0oCqefqQ++jSvLQq1P9muLr54th02TuiJne/11bhcTb59oT3cXV2w8MUOshukkd2CsfDFh/3NdAx+uC+5P8hw1HSKujjrMVyb+ziuzB6MyDbioFG9alVQzVv8UMJFLiNLmtXzWGvljAEXCeCpJStG1U3HiC4N8cuYzvAyQTOuF+V+7z/HPgzANVYI/KkS6OcFNy0Zoi3r+Mn2SflATdfGNfB+RHM83+nhA4cXuzbEIw2Vg55S/lXcMUEuOLV4VGVQLcjvYV9wvfToO2vesDb4/sVHRDf46m7yvn6+vdLvrKhH05q4OudxnZevyEVhvYc+Ug+v9TQs+zjq0RB8/bzu15SXezRSek9+u2rTu3ltLH9NHKAANAduR4db5loyZVALnfubEvR4/vd2/2ZK11RFL3RuIMq2HNmtIQYrnAs83VzxnNyDt0caVkPPZrVw9OP+2Px2L6x6MxztGlRDwxrGBcGlNDUPlt//n2inHCDXpzmmlC08QOqoQxl8vdxweloEjk8doBTAl5L2ITayW7DoPK+Kq4t+oYWPHm+JP8d2xY53++j8oFtbVuWMJ1tpPW85E7YtIIfm6+mGsgoB90vLTT7vPi1qY3iH+uj9+W6TzO/kJwPh5lp5EpWv+3i4uqCkvELt9/qFBmDXxUyl9ycPaI6vYy8BAJLmPA4XCdA4ejMAoHU9f1yc9RgW7r4CVxcJHmsdhMe+2Q+gMu3zUka+SdZJlRaBvujbojY83V3x3c7Len//yuzBaPrxFqPLMbJrMBbtvar0/uo3wxFc0wedZ8caNN961argZvZ9AOK+JZoFVMXlTPF2Da7pg2tzKyvJ0t/GWHX8vZCWU2SSeenCz8sNuUVlOk0b9WgIpgwKxY97kmTv6ZNl1jSgKp7pWB+jw4Ph7VF5+Qry80J6rub1fblHY7i4SDBt/TlMGdTiwQhpYj6ebujdvDZ6Nq2Fo9ey0DSgKradywAAnI8ZBG8PN8x8shWafGSa30kTQyqWDWpUQWpW5X7n6+mGvOIytK3vj/CQmlj+WldkFZTgiXZ18WiLAGw/n47/DQqV9ddSKnd++eeNcGQVFGNAy0As3ld5fPRpXhu+ck9Bv3m+vdLyezSthaMf9UcNNZW1+KkDUFhSjgC5Gyl1wdBXejRGaJAf/jqWgv/OpGHrpF743+ozOHMjByO7Vd6kP9pCc2aHtgqp1ND2ddGmnj8upudh+ZEUAEADLTcX6pprNQv0xao3wxGoR4fs340QN1H4dUwnzN+aiMSMPJXTy59fJvZriu93XQEAPKUiK0TqcHR/3My+jzb1lYNftX09la4hXz3XDs0DfWVBFTdXCRa+1AFDEtKw9uRNZOQWYZ6WJ8YtgioDX6q2pZebK87HPIbLmXm4frcQnYKro+Onhp1vAeCDx0JxOSMPa0/elL03oGUAYi9UrpPiOcJPoflIr2a1sfntXvhl/1VE69lJ67sDm+OrHZcwqlswJvZvihcWH9aYOfp85wYY1qE+BEHAx0NawtfTTacOqD3cXJAwIwISiQQ+Hq5YH9UDjWv7IPlOAZYfTsF7g5pjwoqTOHotS/S94JreuH63UPTeC10qj6F/o3qg0Yf/qV3my90b6RRYa1TTR+fjTRXFb7q6SDB1SBg+GByKZg+u9Y+1CsLWc+la59UjpBa6N62FyX+f1mnZioGma3Mfh0Qi0bhd5Lm5SNCjaS2cmjZQdg1vW98fGyb0VDuPmKdaY0DLQBxPzkJUv6aYt+UilhxMBlAZJLyQlqvTsgHgh5c64K3lJ1R+Js1eS54XqfP6AJUBrH2XbmucRts+O294W1RUCDh9Ixu384oR8aD5rKpybJvUGzsvZsiaPHq6uSJMLnDu7uqCzW/3wuPfVdZRVdWldLFhYg90nBWL/GLl+op88ODZjg0Q4OuFWzn38fG6syrn1aVxDaVjTdHrvZtg0b6rKpcnNbR9XTQP8sX8rYlKnz3Zri42nL4FABgTHoxLGfmIu3pX4zJVWfpKZ2TmFSOroATztlzEh4NDIQjAZ1svAqgM9Pl7K2c5yfvr9W64W1CMADXXtvAmNWUBIUGHyOHIbg0hgQQSSWWwWNHqN8Px0boEFJVW4Ma9QlQozPLQh/3QScU1I+rREEQ92lSvpuDOgMEeK2nXoBpOp2aL3tPlpoX0M7BVIL58tp3sIhxS2wf3CkuRVVBi9LyD/LxQV83TMF9PN6yL6o4BX+3TeX7yEW3509Tvr3bBiJ8PA6hsV7054WGFp3fz2vjt5c6Ytek83FwkWHPiJu7kF6NDw2oIlnuyJD3x7ZvyKO4Vlsgq4O9FtAAApGY9rAyuj+qJ82m5GP7jIY3l3fleH/T/ci+AygrPjyM74kTKPaw8moJ7haWiaQeGBWLH+cob56WvdkYd/8rtpkuwZ31UDzy18KDstbYnqoqS50Xiie8PIOFmjuj9BjW8cXHWY/B0c8GczRfw8/5rWP1mODo9yKT4cHAo5m25qNeyAMDH82HleP4zD2+I1F3+pJWmgx/2Q495u/RenqL/3u6FjNwiDP52v9Hz0oU+lXxpxXrFa13x4i9HAKh/ojj76daiitbHj7fEmO6NtD7RkYoeHAovd1d0a1JZkRgd3gjDOtRXatY0eUBzXEzPlaVu1/DxkGUjfPx4S1TzdpcFljSt67jeTfDfmTTZjThQmQ305+Hroum+eq4d3v1H/Y1Is4CqRo8atf+DR3H4apasL5wecmnp4SE1Ea7QB4j8DU+DGlVklbYRXRpiTfwNvNKzsagpVkM1T60DNDwRr1nVE4pVOnVb09VFgp7NaqFns1pYMEKARCLBhgmm6wBYPqPhGz37g1jxelc0DfDFrKda4ZP155QyBI3NxOrfMhD9WwaqvTmrW81Lto8F6piBEOTvhSB/1dNKJBL89nJn2fI83FwwrIPqYOPgNnUwuI3+/TRsfrsX/jmeivrVq2DlsVTMGdYGri4ShAb5ITTI+M5Xh7StgwY1QuBXxR1LDyXDz8sN/VsGyoI9hz/qL9qeH6kI6ITV9cNXKoKY2kzs1xSPtwlCk1pV4eIiwS412VmfP9MWR65lyZoNSSQSlc1INJEPuEqbwrWtXw1tn6n8203u/LTlnV7YeSEDr/VqgoLiMoz9/ThOKdQ5gcqmUyl3CzCodZDSDeeMJ1spTV/X3wu3DHyYMKRtHWw6k6b0vmLARcrNRYLuITWRc78UC1/qgM+3JeKnvUkqp5XSdpspDYRLyS/5j1e7yK7HiZ8+hj/jruO5zg3QdsZ2tfOTNgGVD36oepigqHfz2uj9oJnPexEtZMGejx9viZG/HtH6faAyMPS43PE4tmdjtG9QDRP/OomXuzcSTbv0lc54/Y/jKC2v3EKqrk1Sf7zaBbM2nUe9alUQs+k8AGD3+32x7PB1WdMkxZ/Mx8MVBSXih6ouLhI8oqa/FPm6c4sgX7TQcs0Lq+uHaUPCcP1uAd6NaIF2M9X/JkBlBt1bjzbFmN+Oyt4ThMp6n7ZgmouLBI+GBuB4sjiY83L3RridV4wx3RuhdT0/JGUWYNOZW1i07+FDQ/njw8vdFWdnDkJ2YQnax+wAANSvXgUfPd4S7RpUw938YrStXw0AVAZ73o9ogRZBvlgTfwMT+zfD23+dFH3+y+hOaFDDGwUlZRj2wyEMUdOHTl+5ByNvyvWzJw32KI7QKNsOksrzQ7OAqnB1kSgFeuSPtb/GdZP9re2cPqpbMGZp6RupU6Ma2D65spn96N+OyoKPCTMiUFYuoLqPB1a/GY5nfooTfW9Yh/qy+ho9xC1iJQtGPILZ/10QPaloHuRrsWDP2J6N8euBaxZZlrHe6huCH/ZovsBrIn8RdpFIMCa8kSzjxVC/jO6kNtADAKenRyjdGEqfACoaEx6sVKlqWccP7q4Spcr8Dy91FFVa/3jQ/4O0j4kRXRpi2eHreL13E2So2Jca1vRWeaNWr1oVtGtQDVXcXeDl7oKOwdVx6MN++GHPFSw7nKJyHUPkmsB8NrwtBoYFYmBYIN6PaIFJf5/CxgdPJIDKPgmkwR51FTt12jWohsi2dfCfikqi1OfPtMWU1WfUfr7gxUcwbf05pSZE0qeWH0eG4aPHW4r2lTf7hGB4h/q4kpkvC7bporpc6qj80ylVTzvqV3+4D5mif5/QIF/U8PFQm12hTfzUARqfsHdrUgOHr4orQPr8mtLt21pFhoGi+tUf7qct6/jhdR1GNHu+UwM0rOmN2AsZGCWX/SOlqv+adwaob46pyzKByqdenRtVl91ESo/RHk1rolezWvD2cJNV4Hs1q4361avgxr37SvMJDfLF5rd7qQ0qqXpKr0o1bw+VzWfUcXWRYPbTrVFYXC4LxAKVfaTEPNVK1uRnycud4eoigaebaUZDaqbDqFvmGHa7Se2q2Px2L9Sqqv44WfdWdzz9g3LAu3tIZeBsVHgjRLQKUltRNtbwDvWx5sQNjdOYctMc+OBR/LzvKl4xsvP+9wY2x5c7LomaeYTV9ZNd417rpf2Ykm9Wpcme9/siS+7hxdTIlujTvDY6NKwOH09X3LhXKPu9pF7p0UiW2WIKEolEqZ8MVZ7t1ADPdrJMX3FA5Tmz5YN+eTRl53z/ILOspKwCLhIJfj1wDbfzipWmW/VmOOKS7mJ83xBcTMvDEwsOyD5T2Tm6Cgte7IBNZ5SDmOr2Y4lEguWvdYUgVN6ATx7YTGuwp86DoObKcd3wwuKH1+0148PxxbZLmP5kmCyLGaisjyx5uTPOp+WKmsJ5urnK9lX5bDpFk1X0XyNtHlzF3VWnrPKqnm44+nF/eLq6wq+KG97p3wzNA33xeJsg/BF3HdM3nBNN/2qPxqjj74WnH4wc9fHjLbHmxA1EPdoUNXw80KdFbaVAYt8WAdj8di8M/Hrfg/V++Nk3z7dXqi9+MiQM+cVlsmCPh5uLqC8zxZ/s5LQINJ9amYWlKlNDaukrnbH/8h2D+k18Va5p38ePt8TszReUppk0oBkC/bzwVPu68PZww6EP+6G7hodo7er74/SNHAxXMQpXx+DqeG9gc9nvqVhPb1PfH23q+4uCPc90aqD0EFM+SLv0lS5oGlA5P1V1Pl8vNxz4Xz/cKyxBw5reiHq0qSxDK6R2VRxKepjZ06NpLVl27unpEbKMRWk9TbHZnKLtk3vjfkm5UtOpjsHVEX/9Hp5qXw9fGxAAD/L3ws+jO+H1P47L3vvm+faY9PcpzBra2qgm8fLbslOjGgip7YOk2wUAKn9L+fsSeoh99lhJgxre+GlUR1HfBO11uAHS5uQnunWk96bCKCpPP1JP1meBr42MHBRc0xv/RvVAfzVDo0rNVPH0SR0XicQkfbUM0NKng/RmTb4nfF8vN8RF98OQtnWwZnx3TI1sidAgX7wzoLnSDY2XuysSZgzCnvf7KjVzGfpgZJdnVTT1aFTLB1OHhCHQzwtt61fDwhc76NRJmYuLBP++1R1/vd5NVpa61arg06Gq+6ZY9KDPgGGP1ENYHT88KTfaTOXN4MNTy8YJPUXt2eXXNElNO/+Q2j74bHgbLHlF9Ygr8kPSXpz1mNZmL8E1ffD7q11kWR6qqLqprO3rqZQFIU9VG3AfTzdsn9wbOyb3Ft0Uy/+Klz4d/CCrSH0l3JA01Aq5gJL0GH9exxuM/qEBqFnVE80C1F8sq1XxwHSl/m8qK2CKo9eoIl0lPy93DG4dhAEtAxDg6ykaVvmlrg3RKbg6eshtd01borncE0EBAqIebYp1b/Uw+9Md+c4Xw0NqijLOvn6+HUaHByMiLAgRrYJEfbkIEETZTJ3lmgRJb2rUka/Ay4/Q88iDDk6N8VLXYJXBLXe59Xo0NED2NNoYm9/uhWc71sdCHfuTMIewun7iJmUKnz/SsLqsiaU6gX5eBgWjej+4qdTUF8WXz7XD+xHN0aFhNex6rw8a1KiCif2aiiqzxmYRyatf3Rszn2qNRjr0WaPJxP7NcHn2YLVP9NX5bHgbBPp5Yss7vdCrmW77WKNaPqI+qdxcXfBoaAD8vd3h5uqCKYNCZVlt058IQ7/QAHw42Px94llL18bqr1XSTnVHdFF9PfBwc8GbfULUdtzcuVENvN2/GdxdXdCmvj+mDKrMCu4XGiDr32v3+33VLr//gyzDd/o3w0CF+lNNDQ8nJBKJ7Jzo6eaqsfNmVxeJ7Ma8W5Oa2PJOL3h7uOKr59qhY3AN/DWum1LWgZtrZRZH1KNN1R7LP43siPrVq4jqNc90rI9rcx8XjbT5x6tdMP+Ztmj+oF5w8MN+GCZXxw8N8hV1Li8vwNcL/t7ukEgkmDywOSLb1oFEIsGY7o2wd0pf2XTRg0Mx7YkwvN67CWpVrQyyvd67CbZO6i17yKMuY0w+M0N+XYc+Uk9lRpT8AyqlLaOwrTzcXLDzvT54rWdjjQGCvi0C8MmQMNF1xRCv926CpQ/qh63r+WHz270w/YkwTOzXDCO6NJRd/+tWq4LR4cF4o3cTeLm7yvZ/aX86y17rij9e7aJ0T1S5ihJM7N9M66hTP43sAA83F/yo5nrmIqnsfLpNPX+lwQCkfhndCW3q+WPdW93h7+2u8jw8sf/DfrviovvJAj1AZb9e0t900chO+PyZtqLMclWaB/qq7Cz/1zGd8OWz7bSOTNZCw0hfA8MCRfW6oY/Uw8VZjxkU6NHULGzbpN749oX26N28NhabeRRje2Ybd/VO7NOhrXEqNbsyzbZnEwx9pB7e/ec0SssrcL+kHFfvFGj8/oWYx9By2lbZa106t3J3laC2r6eobfDXz7dHUWk5uofUQs+mtdAu5mGKpDQiq82gVoGyPi5WvRmOZxXS61Tp2bQWDly5I3st3z/Nznf7yG6gXuraEMuPpKBFoK+oL4NaVT0wqluw6MmHfHMYicIlqoaPh9GdO2rLwFjxoKNSAFj3Vg+0mr7tQVmAOv5VsOBBh5kdg6trfMqprpxfPNsO4/s21WlIRX2GRtTnpmXQg/bXXz3fHoIgKH33/YgW2H0xE4+GBqBNfX/ck282JzepuoDG1MgwjaOtBPp5YfGojqjq5SbbTt+NeEQpzdVUVrzWFXsv3ca5W7my/fXr59uhT/MA7LyQIcoqcpFIZJU9efIBL21NkYZ3qI+TKfdkx3+vZrVQr1plE4i+LWpjT6Lq9vTyHdJ+ODgU7w5sDg83F4wKD8aQ7w+o/M60IWFYHX9DduP9y5hOmLP5Aoa2r4fxKvoCeLFrQ8Rfv4dNZ9Lwao/GmNCvKbo3rYk29fwR+snDc1GvZrWw//Id0XflO778UW7kHvkU7tlPPwwwRrapg/8S0vCmhrT4L55piy5zdqr93FykFW1Vnn6kPp5+5GEAUtOh9efYrrLtpm4oWmnTg17NasmaI/ZsVgvuri7Ye+k2Xu3RWJaSbQ/C6vrhcwuOuGMoiUSCEV0a4K+jqSadb4CfF05Pi4C3p+Zr0YR+zTChX2Xm2f7/VXacmXO/FB5uLhj6SD00D/TFpok9EeBnnuwiQxlyI/d854Z4rpP6UbCM9UqPxkZnLdm6N/s2QQ0fd5UB2d7Na+P0tAj4VTFNtV8+40CqcS0fbHmnFz5ccwZdGtfA5oR0pYwYaSbMwSt3sOp4KlwkEozoqnumleLu0S80AP1CA7Aq/gYWKYwG17KOH87HPKZxfro0mW1T3x8HPuiHFUdS8NG6BACqBxZQ3O41fDzw+bPtMCAsEB0aVlfblFKb4Jo+mDW0NfYmZqrsUFpX/t7u2DihJzzdXbDiiDhjW1s3K4rbfXDrIHzyr7g/m5DaVTHVwJEMDdG3RQASP30M7i4ucHGRiDKp5cU89TBoMbJrMFrX80fLB0E/Xy/Vx4s+HmtdBxdiguDqIkGzQF98t/Oy6AGPRCKRZSuqO78NCAvU+hA5wNcLI7o0QGm5IMrAVeTv7W5UFmE1bw+dRsR6rVcTlJQLskCuIsVVNUXH+orcXF3wVPt6GvusIwZ7rM7H0030NMTf2100wkjK3UL8tC9J6cQMVAY1qni4ijoiBCrbEKsKEtWvXgXTn2iFtg8yiP6b2BObz6ah3YM2o17uriqDA0MfqadTsOeFLg1lwZ6WOg7rOah1kCjYs+rNcFn/LPJPymc/3QYT+jVFgK8XoteewT/HK9Pb46L7Kz0Jr6OiH4NfRnfC4v1XtUa6gcpmVb/HPWzL/M8b4dh2Lh17EjPxTMcGWkeK6S7XP4aPCbKkfD3FT2ncXF20tm82JWmaZKOa3khW0YRE1cUryN8L8XJZZvJPIHQZClqXYXWlHf5JPdmurlKwx1RDn3dvWtnp49ilx2TvSW/mn+3UAI+1DkK7mdtRIagfFeXLZ9th8t+n8JaGIX+lPo5siRflmo79ObYygDhraGu4u7rgxr1CZBeWwr+KO3rNf9hB+IwnxFlu0qBS63rKWYONa/mgtq8nXu3ZWJQeHVzTB4tGdcItNWnrnm6uWPBiByx48eF70gyDHk1r4uCVyjTjlnX8ZMGexaM64lDSXbUZWAPDAvF2v6ZKT5m+H/EIoh8PFTXpUiSfndFBz2wCYwxoGQD/Ku4IraPnsahQqfZyd8Wcp9tg0b4ktQGQrZN7Y9+l23j6kXro1qQmdl6o7MxyXK8mSL13H41r+dhVsMeezB7aBrWreuK7Bx0hm4q2DjHVfq+Ku+jmRdWxba/MFehxFp5urhgV3kjt57rsc8b+BC3r+GH9g/61Po4MQ78v9+Dq7QJR9i9Q2QSlh4ohrrVRvEb89nJldoehQ3Trs88937kBPNxc9BplydVFIupXx1CjugWbZERIaSftitkSfZrXxmdbL8LbQ3U2sqJaVT0xtH1d/HvqloapzE/fJsUuLhKz1BOkDy6bBlRF/NQBSqOzmercpstQ6pbi5e4qyxhUpamGLHF9vNQ1GPsv39FpZDFSjcEeG9ewpjeGd6inFOyJejREdiP7Wq8momCPOi3r+InSZ11cJBjStq6Gbzx05KP+SM0qxJFrWfh8m7gjsV7NamFMeCM82iIAf73eDRWCoPaGXpqhI+UqdwKMfbc3mgb4Yud7fVCtinKlRBrJfndgCxy5loUXuzRU+QRR/pwq/Vtd1Lxzo+oY070RfjtwDTFPtUaT2j64ertAFuyZNbQ1ujSugS6Na4jaK8t7+pF6WCc3Cog6nQxMuW9dzw+v92psssCFvv4a1w2bz6Th6Q71MW/LRdQ14OmUl7sr1ozvDkAwa/Oacb2bYPG+qxjbszGOJWdpHTFGX+qeoPt6uWP/B/1wPDlL7THVpHZVWSVYndh3+6CotBw1fDzwzf/bu/ugqM57D+DfXZddILgsiOyCAoIYjAIaUckaXxohAtpEI72jxttRk+DEgI1Xo0bTxphmRls77Y1Oapxmosm0CdP0SkzSaGtAsGbQKAUVNVQsiZrw0kh4i2+8/O4fhBMOLLDA8rb7/czsDOx5dj3H33kezv72Ob9n6WQ89dYZ1R/TlvN9tI8nRn//d8/dTYvb9c2z4Tq7mG+74s4n6+fA3jvFYkN9caqksstvFVfNCFWSPa0vJudNtLRLzrWm0Wiw/vti4a1ptZpOEz0tsjbMwZkvv0VyB4VlHWnDw/ei4FoVHp5gtrtYbevEtW6YFjPGjsB7edeVe+wfjw1WLQXd1iiTB5Z9X2ekdWFPwL6loqlrHdUP0mo1+FncOFTU3nHobVNEruBQ6oO4XFGH+23cLtITY0d64aO1M3Hs84p+//A3TKvp0UqJQ8GEQCMyN8xR1V9qfX2us7Gc9suLImHx9lCKjlOzEZ3M+nUlCRMteOmRCYj6fkJBTyVGWpC5YQ6C7LgWJNuY7BkCYkJ88bd1sxFockfU96sChIz44QL/gbAR+OOTsRjj19wRIizD283sWTljDNbO7XpGQYu2K8aYje4wG90x2scTu/5WpFqaMdjXU0mk2Kpvsn/lNKw6cBpPzQzFz388QZXsab16REuRw64KbFm83ZGz8SGb27zaLGMa0sUSuimzwjBvoqXDD+j2fJPyuyWT8XhsMP7r9Vyb98PnbpmL0urbPf4GVqPR4IUF/Tc1ti3/4e5Y+f309x2LbdfwsUdvLsw2PHwvsi5VYFUXyYat8+/D2rnhqiJujrQpYTy+qbtr84JvlMkDo3o5lbT1NyHjLUac2Dy3y9ekr7bixUOF+HkX58ibK6fh//KuY8N7Z7HrJ9Fd1gRqnTT9w4qpuNvQ1OmtS23Zsfqmw4SN9FJqNfS1tXEdF3TuiJdBh7SHwtHQJPC9R49tj07EOLMXkiJ7/41vCx9Pvc2iz2SfyUEm7F0+xeZS4bphWuxMHjzfqBL1lVC/ezq8Tbgnhru7OXwmReQo717NaPtZ3Djszrys1BpyRbZueWp77X2PQYenZoaivrHJZhFuo7ubU9fAot7RaDTKZ4feYuHl3ul2suf48ePYtWsX8vLyUFpaioyMDCxatEjZvnLlSrz11luq1yQkJODIkR9qOVRWVmLt2rX48MMPodVqkZycjFdffRVeXgxmR1pu23nnqVicLKls9w32zFa3jryyKBJ+XgYsnByIY0UVeHiCRbXUrD3mdnAbjcXbHZdeToS7m1ZZzjyqgz+6ryyKxFdVt/DQeH98sXOBzTbzJpqx7/g9vb4YyHhmBt44UYIt3//heSclFp9crOhyNZ3WSbMWPfmmfNoYXxRuT8A9+vZTSgO8PTq9v5a6FjbSC4XbE+wqWtxXiR6guSbWHwZZEbjJQSa7l6VOjhmNH08KsGvqs8XoDmvYCOh1Wgw36KBx79405L6Mw1D0XMIPM5e8DDqsnt318rzd8b9LJ+O5984izY7bBMm2niwrTuRM1j98LxoaBY848WyN/4kfh4WTAzsslusKfhIThFt3GzG9k6LeAPq1Bg8R9Q2NdFbm2obDhw/j008/RUxMDBYvXmwz2VNeXo79+/crzxkMBvj4/PBhPikpCaWlpdi3bx/q6+uxatUqTJs2De+8845d+1BTUwNvb29UV1fDaLSvNgx1X8k338HdTdthouLzshqc/uJbPD49uFsrB7VeOvyLnQtsFvjta+euV+HrqtsdLk/87Xd34abT2lVfhnpny8HzuFr5nXL7T/Rob7uTF9S3uts3sz4vxxMHmpfbLNyegDV/zENSZECntygREREREZGaI3Ie3f4km5SUhKSkpE7bGAwGWCy2P0RfunQJR44cwenTpzF1avM35Hv27MH8+fPxm9/8BoGBzvttwlDT1QyX8RZju2Us7fHKoki89MEFvN1Fdfq+FD3ahOhObr22Z1UzcoyWW8NakoA+nvy/Hyy62zdnho9E5CgjJgZ4w8ugUwpLExERERFR/+qTaQvZ2dnw9/eHj48P5s6di1deeQUjRjRPFczNzYXJZFISPQAQHx8PrVaLU6dO4bHHHmv3fnfu3MGdO3eU32tqavpit6mf/PcDIVg6LUhVtJSIhj69TouP1s4a6N0gIiIiInJ5Dv+0nZiYiLfffhuZmZn41a9+hZycHCQlJaGxsREAUFZWBn9/dT0YnU4HX19flJWV2XzPHTt2wNvbW3kEBbUvgktDCxM9RERERERERH3D4TN7li5dqvwcFRWF6OhojB07FtnZ2YiLi+vRe27ZsgXr169Xfq+pqWHCh8jJRJiHo6i8Foun9G5FKyIiIiIiIlfX59Vnw8LC4Ofnh+LiYsTFxcFisaCiokLVpqGhAZWVlR3W+TEYDDAY7F/yl4iGnozUGSiuqOtwdTciIiIiIiKyT5/fS3P9+nXcuHEDAQHNS5parVZUVVUhLy9PaZOVlYWmpibExrKYJ5Gr8tTrED3aNCAFu4mIiIiIiJxJt2f21NXVobi4WPm9pKQEBQUF8PX1ha+vL7Zv347k5GRYLBZcuXIFmzZtQnh4OBISEgAA9913HxITE5GSkoLXX38d9fX1SEtLw9KlS7kSFxERERERERFRL2lERLrzguzsbDz00EPtnl+xYgX27t2LRYsWIT8/H1VVVQgMDMS8efPwy1/+EmazWWlbWVmJtLQ0fPjhh9BqtUhOTsbu3bvh5eVl1z44Ys15IiIiIiIiIqLBxhE5j24newYDJnuIiIiIiIiIyBk5IufB9a+JiIiIiIiIiJwIkz1ERERERERERE6EyR4iIiIiIiIiIifCZA8RERERERERkRNhsoeIiIiIiIiIyIkw2UNERERERERE5ESY7CEiIiIiIiIiciK6gd6BnhARAM1rzxMREREREREROYuWXEdL7qMnhmSyp7a2FgAQFBQ0wHtCREREREREROR4tbW18Pb27tFrNdKbVNEAaWpqwtdff43hw4dDo9EM9O50S01NDYKCgnDt2jUYjcaB3h3qZ4w/8RxwbYy/a2P8ieeAa2P8ieeAa+tO/EUEtbW1CAwMhFbbs+o7Q3Jmj1arxejRowd6N3rFaDSyg7swxp94Drg2xt+1Mf7Ec8C1Mf7Ec8C12Rv/ns7oacECzUREREREREREToTJHiIiIiIiIiIiJ8JkTz8zGAzYtm0bDAbDQO8KDQDGn3gOuDbG37Ux/sRzwLUx/sRzwLX1d/yHZIFmIiIiIiIiIiKyjTN7iIiIiIiIiIicCJM9REREREREREROhMkeIiIiIiIiIiInwmQPEREREREREZETYbKnH7322msYM2YM3N3dERsbi88++2ygd4kc4KWXXoJGo1E9xo8fr2y/ffs2UlNTMWLECHh5eSE5ORnl5eWq97h69SoWLFgAT09P+Pv7Y+PGjWhoaOjvQyE7HT9+HI888ggCAwOh0Wjw/vvvq7aLCF588UUEBATAw8MD8fHxuHz5sqpNZWUlli9fDqPRCJPJhCeffBJ1dXWqNufOncOsWbPg7u6OoKAg/PrXv+7rQyM7dBX/lStXthsTEhMTVW0Y/6Frx44dmDZtGoYPHw5/f38sWrQIRUVFqjaOGvezs7MxZcoUGAwGhIeH48CBA319eNQFe+L/ox/9qN0Y8PTTT6vaMP5D1969exEdHQ2j0Qij0Qir1YrDhw8r29n/nVtX8Wf/dy07d+6ERqPBunXrlOcG1Rgg1C/S09NFr9fLm2++KRcuXJCUlBQxmUxSXl4+0LtGvbRt2zaZOHGilJaWKo///Oc/yvann35agoKCJDMzU86cOSMPPPCAzJgxQ9ne0NAgkZGREh8fL/n5+fLxxx+Ln5+fbNmyZSAOh+zw8ccfywsvvCAHDx4UAJKRkaHavnPnTvH29pb3339fzp49K48++qiEhobKrVu3lDaJiYkyadIkOXnypPzjH/+Q8PBwWbZsmbK9urpazGazLF++XAoLC+Xdd98VDw8P2bdvX38dJnWgq/ivWLFCEhMTVWNCZWWlqg3jP3QlJCTI/v37pbCwUAoKCmT+/PkSHBwsdXV1ShtHjPv//ve/xdPTU9avXy8XL16UPXv2yLBhw+TIkSP9erykZk/858yZIykpKaoxoLq6WtnO+A9tH3zwgfz1r3+Vf/3rX1JUVCRbt24VNzc3KSwsFBH2f2fXVfzZ/13HZ599JmPGjJHo6Gh59tlnlecH0xjAZE8/mT59uqSmpiq/NzY2SmBgoOzYsWMA94ocYdu2bTJp0iSb26qqqsTNzU3ee+895blLly4JAMnNzRWR5g+OWq1WysrKlDZ79+4Vo9Eod+7c6dN9p95r+2G/qalJLBaL7Nq1S3muqqpKDAaDvPvuuyIicvHiRQEgp0+fVtocPnxYNBqNfPXVVyIi8vvf/158fHxU58DmzZslIiKij4+IuqOjZM/ChQs7fA3j71wqKioEgOTk5IiI48b9TZs2ycSJE1X/1pIlSyQhIaGvD4m6oW38RZo/7LW+8G+L8Xc+Pj4+8sYbb7D/u6iW+Iuw/7uK2tpaGTdunBw9elQV88E2BvA2rn5w9+5d5OXlIT4+XnlOq9UiPj4eubm5A7hn5CiXL19GYGAgwsLCsHz5cly9ehUAkJeXh/r6elXsx48fj+DgYCX2ubm5iIqKgtlsVtokJCSgpqYGFy5c6N8DoV4rKSlBWVmZKube3t6IjY1VxdxkMmHq1KlKm/j4eGi1Wpw6dUppM3v2bOj1eqVNQkICioqK8O233/bT0VBPZWdnw9/fHxEREVizZg1u3LihbGP8nUt1dTUAwNfXF4Djxv3c3FzVe7S04XXD4NI2/i3+9Kc/wc/PD5GRkdiyZQtu3rypbGP8nUdjYyPS09Px3XffwWq1sv+7mLbxb8H+7/xSU1OxYMGCdnEabGOArlutqUe++eYbNDY2qgIKAGazGZ9//vkA7RU5SmxsLA4cOICIiAiUlpZi+/btmDVrFgoLC1FWVga9Xg+TyaR6jdlsRllZGQCgrKzM5rnRso2GlpaY2Ypp65j7+/urtut0Ovj6+qrahIaGtnuPlm0+Pj59sv/Ue4mJiVi8eDFCQ0Nx5coVbN26FUlJScjNzcWwYcMYfyfS1NSEdevW4cEHH0RkZCQAOGzc76hNTU0Nbt26BQ8Pj744JOoGW/EHgMcffxwhISEIDAzEuXPnsHnzZhQVFeHgwYMAGH9ncP78eVitVty+fRteXl7IyMjAhAkTUFBQwP7vAjqKP8D+7wrS09Pxz3/+E6dPn263bbBdAzDZQ9RLSUlJys/R0dGIjY1FSEgI/vznP3MwJnJBS5cuVX6OiopCdHQ0xo4di+zsbMTFxQ3gnpGjpaamorCwECdOnBjoXaEB0FH8V69erfwcFRWFgIAAxMXF4cqVKxg7dmx/7yb1gYiICBQUFKC6uhp/+ctfsGLFCuTk5Az0blE/6Sj+EyZMYP93cteuXcOzzz6Lo0ePwt3dfaB3p0u8jasf+Pn5YdiwYe2qcJeXl8NisQzQXlFfMZlMuPfee1FcXAyLxYK7d++iqqpK1aZ17C0Wi81zo2UbDS0tMeusv1ssFlRUVKi2NzQ0oLKykueFEwoLC4Ofnx+Ki4sBMP7OIi0tDR999BGOHTuG0aNHK887atzvqI3RaOQXCYNAR/G3JTY2FgBUYwDjP7Tp9XqEh4cjJiYGO3bswKRJk/Dqq6+y/7uIjuJvC/u/c8nLy0NFRQWmTJkCnU4HnU6HnJwc7N69GzqdDmazeVCNAUz29AO9Xo+YmBhkZmYqzzU1NSEzM1N1fyc5h7q6Oly5cgUBAQGIiYmBm5ubKvZFRUW4evWqEnur1Yrz58+rPvwdPXoURqNRmRJKQ0doaCgsFosq5jU1NTh16pQq5lVVVcjLy1PaZGVloampSbkosFqtOH78OOrr65U2R48eRUREBG/hGWKuX7+OGzduICAgAADjP9SJCNLS0pCRkYGsrKx2t9s5aty3Wq2q92hpw+uGgdVV/G0pKCgAANUYwPg7l6amJty5c4f930W1xN8W9n/nEhcXh/Pnz6OgoEB5TJ06FcuXL1d+HlRjQPdrT1NPpKeni8FgkAMHDsjFixdl9erVYjKZVFW4aWjasGGDZGdnS0lJiXz66acSHx8vfn5+UlFRISLNy+8FBwdLVlaWnDlzRqxWq1itVuX1LcvvzZs3TwoKCuTIkSMycuRILr0+iNXW1kp+fr7k5+cLAPntb38r+fn58uWXX4pI89LrJpNJDh06JOfOnZOFCxfaXHr9/vvvl1OnTsmJEydk3LhxqqW3q6qqxGw2y09/+lMpLCyU9PR08fT05NLbg0Bn8a+trZXnnntOcnNzpaSkRD755BOZMmWKjBs3Tm7fvq28B+M/dK1Zs0a8vb0lOztbtbTuzZs3lTaOGPdbll3duHGjXLp0SV577TUuvTsIdBX/4uJiefnll+XMmTNSUlIihw4dkrCwMJk9e7byHoz/0Pb8889LTk6OlJSUyLlz5+T5558XjUYjf//730WE/d/ZdRZ/9n/X1HYFtsE0BjDZ04/27NkjwcHBotfrZfr06XLy5MmB3iVygCVLlkhAQIDo9XoZNWqULFmyRIqLi5Xtt27dkmeeeUZ8fHzE09NTHnvsMSktLVW9xxdffCFJSUni4eEhfn5+smHDBqmvr+/vQyE7HTt2TAC0e6xYsUJEmpdf/8UvfiFms1kMBoPExcVJUVGR6j1u3Lghy5YtEy8vLzEajbJq1Sqpra1VtTl79qzMnDlTDAaDjBo1Snbu3Nlfh0id6Cz+N2/elHnz5snIkSPFzc1NQkJCJCUlpV1in/EfumzFHoDs379faeOocf/YsWMyefJk0ev1EhYWpvo3aGB0Ff+rV6/K7NmzxdfXVwwGg4SHh8vGjRulurpa9T6M/9D1xBNPSEhIiOj1ehk5cqTExcUpiR4R9n9n11n82f9dU9tkz2AaAzQiIt2bC0RERERERERERIMVa/YQERERERERETkRJnuIiIiIiIiIiJwIkz1ERERERERERE6EyR4iIiIiIiIiIifCZA8RERERERERkRNhsoeIiIiIiIiIyIkw2UNERERERERE5ESY7CEiIiIiIiIiciJM9hAREREREREROREme4iIiIiIiIiInAiTPUREREREREREToTJHiIiIiIiIiIiJ/L/QVGQjN23niwAAAAASUVORK5CYII=\n", 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\n", 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dz+RMmEREcrKrYFGTJk2wZMkS/Pnnn/jzzz8RFhaGQYMG4ejRowCA7OxsVFZWIjg4WPK+4OBgrXGN1C1cuBD+/v7iIywsTNbtICJ5rD6Sim4LtuBaDqfIJSIicmUl5ZW2LgIRkVOTtRuaqdq1a4d27dqJf/fr1w+XLl3CJ598gp9++sns9c6ePRszZ84U/87Ly2PAiMgBzfrjhK2LQERERERE5PTsKlikS58+fbB3714AQGBgINzd3ZGZmSlZJjMzEyEhIXrX4eXlBS8vL1nLSURERERE1uHsg1s7+/YRkf2zq25ouiQkJKBJkyYAAE9PT/Ts2RPbtm0TX1cqldi2bRuio6NtVUQiIiIiIiKL4RCNRGRrsmYWFRQU4OLFi+LfSUlJSEhIQMOGDdG8eXPMnj0b165dw4oVKwAAn376KSIiItCpUyeUlJTg+++/x/bt27F582ZxHTNnzsSkSZPQq1cv9OnTB59++ikKCwvF2dGIiMi6TqXlolmAL/x969i6KERE5CIUYOoNEZGcZA0WHTlyBIMHDxb/Vo0bNGnSJCxfvhzp6elISUkRXy8rK8NLL72Ea9euwdfXF127dsXWrVsl6xg3bhyuX7+OuXPnIiMjA926dcPGjRu1Br0mIiL5HUm+iQeWxKG+lwdOvhVr6+IQEREREZEFyBosGjRokMFprpcvXy75e9asWZg1a1aN650xYwZmzJhR2+IREVEtbT2TBQDIL62wcUmIiMiVcEwfIiJ52f2YRUREREREREREZD0MFhERERERERERkYjBIiIiIiIiIjvCydCIyNYYLCIiIiIiIiIiIhGDRUREREREREREJGKwiIiIzCYwUZ6IiIiIyOkwWEREROZjrIiIiGxAobB1CeTl5JtHRA6AwSIiIiIZnU7Lw0urj+PqrSJbF4WIiIiIyCgeti4AERGRMxv5+R4AwPnMfPz7bH8bl4aIyDkomHtDRCQrZhYRERFZwfnMfFsXgYiIHAR7eRORrTFYREREREREREREIgaLiIiIiIjIoTj7ANdERLbGYBEREZmNafJERERERM6HwSIiIiIiInIozCwiIpIXg0VERERERERERCRisIiIiMwmCOyIRkRERETkbBgsIiIiIiIiIiIiEYNFRERERETkUBTgoEUqSqWA85n5UCqZ7UtElsNgERERERERkYP6eMs5DPtkN95ed9rWRSEiJ8JgERERmY1DFhEREdnW4h2XAAA/7Eu2bUGIyKkwWERERERERA5FwV5oRESyYrCIiIiIiIiIiIhEDBYREREREZFDcfrEIvbzJiIbY7CIiIjMxqqs8fhdEREREZGjkDVYtHv3bowePRqhoaFQKBRYs2aNweX/+usvDB06FI0bN4afnx+io6OxadMmyTLz58+HQqGQPNq3by/jVhARERERkT3hmEVERPKSNVhUWFiIyMhILF682Kjld+/ejaFDh2L9+vWIj4/H4MGDMXr0aBw7dkyyXKdOnZCeni4+9u7dK0fxiYioBsnZhbYugsNgu4aIiIiIHIWHnCsfMWIERowYYfTyn376qeTvd999F//88w/+/fdfdO/eXXzew8MDISEhliomERGZ6XxWvq2LQERELokheCIiOdn1mEVKpRL5+flo2LCh5PkLFy4gNDQULVu2xKOPPoqUlBQblZCIiIiIiKyPI8EREclJ1syi2vroo49QUFCAhx56SHwuKioKy5cvR7t27ZCeno633noLAwYMQGJiIurXr69zPaWlpSgtLRX/zsvLk73sRESugJO1EBERERE5H7vNLPr111/x1ltvYfXq1QgKChKfHzFiBB588EF07doVsbGxWL9+PXJycrB69Wq961q4cCH8/f3FR1hYmDU2gYiIiIiIZMFuaOZIvVmEZ345ioTUHFsXhYjsnF0Gi1auXImnnnoKq1evRkxMjMFlAwIC0LZtW1y8eFHvMrNnz0Zubq74SE1NtXSRiYiIiIiI7Nqzvx3DupPpGLN4n62LQkR2zu6CRb/99hsmT56M3377DaNGjapx+YKCAly6dAlNmjTRu4yXlxf8/PwkDyIiqj12QyMiIltQMLHILMk3OIspERlH1jGLCgoKJBk/SUlJSEhIQMOGDdG8eXPMnj0b165dw4oVKwBUdT2bNGkSPvvsM0RFRSEjIwMA4OPjA39/fwDAyy+/jNGjR6NFixZIS0vDvHnz4O7ujvHjx8u5KURERERERERELkHWzKIjR46ge/fu4rT3M2fORPfu3TF37lwAQHp6umQms2+//RYVFRV45pln0KRJE/Hx/PPPi8tcvXoV48ePR7t27fDQQw+hUaNGOHDgABo3biznphCRA1AqBey7mI3conJbF8VlCEwtIiIiG2BiERGRvGTNLBo0aJDBhsTy5cslf+/cubPGda5cubKWpSIiZ7XqSCpm/3USYQ19sGfWXbYuDhERERERkUOyuzGLiIjMte5EOgAg9WaxjUtCREREclI4+aBFzNslIltjsIiIiMzGyiwREZHjcO4QGxFZEoNFREREREREREQkYrCIiIiIiIgcCjNkiIjkxWARERGZjZOhGY9fFRGR5fCcSkQkLwaLiMhpCKw6Wh2/cyIisgVDMy47A2ZOEZGtMVhERERkBaz4ExFZjpuTz4ZGRGRrDBYRkU0olc59R5CIrOebXZcw759Ep880IKJqHu7OHSyS62ymYJCNiIzEYBERWd2ptFx0f3sLftyfbNH1Kpi7QeSSFm44ix/jruBUWp6ti0JEZNcYVCciYzFYRERW98rvJ5BbXI55a0/ZuihUSwzQGY/Vc/kVl1faughEREREToHBIiIiIiIiJ/PfiTSsOpxi62IQEZGD8rB1AYiILIUzc1kfv3PjMQeLiKxFEATM+PUYAGBg28Zo4u9j4xIREZGjYWYREZEdK69U2roIBnHoAyIi+5ZfUmHrIpAd4QDXRGQsBouIyOpYTzHOJ1vOo80bG5CQmmProhAREZEV8WYMEdkag0VERHbqs20XAABv/3faxiUhcgyMQxMRERFZBoNFROQ0ODMXERERERFR7TFYRERk5wQ7zkVnl0IiIvtmx5eQWnHW7VLh9ZWIbI3BIiJyGpyZy/qcvbJORETkTBiDIiJjMVhEREREREREREQiBouIyOqYWm0aJu8QGYfnFiLStP5kOl794wTKKpS2LgoRkUPxsHUBiIiIiCyD0SIiknr6l6MAgI6hfpjUL9y2hTEBu3kTka0xs4iIiMymZGWWiMiucTy/KtkFpbYugl3g0UBExmKwiIiIzMbKNxERERGR82GwiIiIiIiInJqjdeuSKyOMnXWJyFgMFhER2TlHq+AS2QoHuCaqwusGERHVlqzBot27d2P06NEIDQ2FQqHAmjVranzPzp070aNHD3h5eaF169ZYvny51jKLFy9GeHg4vL29ERUVhUOHDlm+8ERERBbEthsR2YKCuSQOiQE/IrI1WYNFhYWFiIyMxOLFi41aPikpCaNGjcLgwYORkJCAF154AU899RQ2bdokLrNq1SrMnDkT8+bNw9GjRxEZGYnY2FhkZWXJtRlEZGGsuDq3n+KS8dj3B1FYWmHrohARuTwOcE1ERObwkHPlI0aMwIgRI4xefsmSJYiIiMDHH38MAOjQoQP27t2LTz75BLGxsQCARYsWYcqUKZg8ebL4nnXr1mHZsmV47bXXLL8RREQ2diY9z9ZFMMmb/5wCACzfn4xnBre2cWnsB0OkRES242hBM3arJSJbs6sxi+Li4hATEyN5LjY2FnFxcQCAsrIyxMfHS5Zxc3NDTEyMuAwRkb3IKynHj/uTkZVfUqv1lFYoLVQi6yoqY2YRERGROeTqhsYgFBEZy66CRRkZGQgODpY8FxwcjLy8PBQXFyM7OxuVlZU6l8nIyNC73tLSUuTl5UkeRGQ7rlJRmfX7CcxbewoTvue4alQ7R1Nu4X/rTrNrXw1c5NRCRORUyiuV2HkuCwW8xhHZFbsKFsll4cKF8Pf3Fx9hYWG2LhKRS3OVQRs3n64KYp/LzLdxSWzDVfazsWrzddz/1X58tycJn227YLHyEBG5Eke7JjlYcWvl063n8fgPhzH5B95cI7IndhUsCgkJQWZmpuS5zMxM+Pn5wcfHB4GBgXB3d9e5TEhIiN71zp49G7m5ueIjNTVVlvITERHJ6WJWga2LYNcUrpK2SGQCRwuSkOtZfeQqAOBw8i0bl4SI1NlVsCg6Ohrbtm2TPLdlyxZER0cDADw9PdGzZ0/JMkqlEtu2bROX0cXLywt+fn6SBxHZDttzRERERERE9kvWYFFBQQESEhKQkJAAAEhKSkJCQgJSUlIAVGX8TJw4UVx+2rRpuHz5MmbNmoWzZ8/iq6++wurVq/Hiiy+Ky8ycORPfffcdfvzxR5w5cwbTp09HYWGhODsaERHZhsDb14ZZ4Ovhd0xEZB5HO3s62uk+ITUHKTeKbF0MIrIgDzlXfuTIEQwePFj8e+bMmQCASZMmYfny5UhPTxcDRwAQERGBdevW4cUXX8Rnn32GZs2a4fvvv0dsbKy4zLhx43D9+nXMnTsXGRkZ6NatGzZu3Kg16DURka0pFArHq+1ZkOtuOdkKkxaJyBzllUp4uCnYldVMKTeKMGbxPgBA8nujbFwaIrIUWYNFgwYNMngXdPny5Trfc+zYMYPrnTFjBmbMmFHb4hERkQUJArsYGiJYIHzGABwRkWUVlVWg77vb0D7ED6un6R/Wwtoscc2wltpO5MGqA5F9sqsxi4jINchVKXDhJB4iIiKdeG007MDlG8grqcCh5Ju2LgoRkV1hsIiIrI71VufE/UpEZB94PtbGoBkRkWkYLCIip8EuUGTPLNFQYWOHiEzFayMREZmDwSIisjrWW50TZ+qSH79hw9goJnId9njJ2ZiYji+2XbDz66H9nSh57iayT7IOcE1ERERV7LnpQETOy67jFk5m2s9HAQA9wxugX6tAG5eGiKh2mFlERESycOUGSn5JOSqV0i/AEnea7ftute0p7PCOORG5nuv5pbVfCU/3RGRjDBYRkfXJlG9sb+1oV2u22tnXbzOZeSXoMn8zRn+x19ZFISIikl1tb2Qw0E9knxgsIiIisqDNpzMBAKfT82xcEiIiclS8AUNEtsZgERERWYS9ZXbZG3498uMgqUSkj8CzMBGRSRgsIiKnYW8NRXsrj7WxYs4xhojI9nguJnVy1E14hBE5JwaLiIhk4mpxAjZItJ1Kq+6KZonjwdWOKSIiR2SZ873rnPBd/eYakb1isIiIiMiC1Ou8ZZVKi66bATkiIjPx9AmANx2IyHgMFhGR1cl1A4kVINvi909ERGSZwD6vqURkawwWERHJhGnVZGlsPBARERGRNTBYRERWxyAKOTMe30Rka6403k1tKWTLd64dua4lsgxwXcvDzT73ABExWERERCQTtteIiORhalcva56OOaEBETkDBouIiIgcBBsPhjGri4hMxYkDiIh0Y7CIiJyGvTUU7TW1XS5agQwXrX9L97uLfglERERE5NAYLCIip2FvWRe8W+ma5NzvPKYMc7UALREZz5rjOFmkG1rtV+EwFPZ2t4+IADBYREROJLe43NZFcGkMZMjP3gKi9oAD+RIZxp8IqWNYhoiMxWAREVmdXBWVU2l5Mq2ZzMH2CRtpRERkHse6fjhUYYnISAwWERHJxNW6xDhWxVY+rrbfiYgcGc/ZRES6MVhERFbHvulE5mE8joiI7A1vFhE5JwaLiMjqOMaIc3LVvfrOf6fx4qoEnce1q34ntnK9oNTWRSAisgiOA0hEtsZgERE5jR7NA2xdBHJB3+9Nwt/HruFiVgEAQNbEObYdtKjH6I6l3LJdQYjIIckRlOGpmoicgVWCRYsXL0Z4eDi8vb0RFRWFQ4cO6V120KBBUCgUWo9Ro0aJyzz++ONarw8fPtwam0JEFiBXN7T63nVkWa/Z2NvOpVQo5W8e8E4zEZF5mNRMRGQaD7k/YNWqVZg5cyaWLFmCqKgofPrpp4iNjcW5c+cQFBSktfxff/2FsrIy8e8bN24gMjISDz74oGS54cOH44cffhD/9vLykm8jiMgh2N1QSC5WMWX3Qm38SoiIiIjIEcmeWbRo0SJMmTIFkydPRseOHbFkyRL4+vpi2bJlOpdv2LAhQkJCxMeWLVvg6+urFSzy8vKSLNegQQO5N4WILMTeYjpElsTj23Y4qxFRFVeIU9tzMN4Vbp5UVCqRkJqDikqlrYtCRDKRNVhUVlaG+Ph4xMTEVH+gmxtiYmIQFxdn1DqWLl2Khx9+GHXr1pU8v3PnTgQFBaFdu3aYPn06bty4YdGyExGRaTSrxq5QWVZnd5ltREQk0ndFstcgs71fQuetPYUxi/fhnXVnbF0UIpKJrN3QsrOzUVlZieDgYMnzwcHBOHv2bI3vP3ToEBITE7F06VLJ88OHD8f999+PiIgIXLp0Ca+//jpGjBiBuLg4uLu7a62ntLQUpaXVM6Tk5eWZuUVEZM/srrpndwUyXUWlEh7unAvBXth748EW1L8SBuyIgJ/ikhF3mTdRSV6/HEwBACzfn4yoiIa1WhfP3UT2SfYxi2pj6dKl6NKlC/r06SN5/uGHHxb/36VLF3Tt2hWtWrXCzp07MWTIEK31LFy4EG+99Zbs5SUi22I72rI2JmZg+i/x+OShbhjTvWmNyzOQoc3VsqtsjV83EfDmP6dsXQSXZ8+nIjkCM/a8vURkPllvFwcGBsLd3R2ZmZmS5zMzMxESEmLwvYWFhVi5ciWefPLJGj+nZcuWCAwMxMWLF3W+Pnv2bOTm5oqP1NRU4zeCiMhFTfs5HoIAvLAqwaz3s+Fu+Qo0v1IiIrI3vN4TOSdZg0Wenp7o2bMntm3bJj6nVCqxbds2REdHG3zv77//jtLSUjz22GM1fs7Vq1dx48YNNGnSROfrXl5e8PPzkzyIyHbkSje2tyxmeyuP7Fy8smiv414QEZH+gIYgx8XLxa+HROQcZB+IYubMmfjuu+/w448/4syZM5g+fToKCwsxefJkAMDEiRMxe/ZsrfctXboUY8aMQaNGjSTPFxQU4JVXXsGBAweQnJyMbdu24d5770Xr1q0RGxsr9+YQERGRneK4F7W3/Wwm3l1/BpVKtnadVerNIiz49zRSbxbZuihkgCt1Y+a5m8g+yT5m0bhx43D9+nXMnTsXGRkZ6NatGzZu3CgOep2SkgI3N2nM6ty5c9i7dy82b96stT53d3ecOHECP/74I3JychAaGophw4bh7bffhpeXl9ybQ0R2TMHaBlmZrso8D0PrcqUGlTU8sfwIAKB1UD081CvMxqUhS9D8iUxYehDJN4qw81wWtr88yCZlIiIi+2eVAa5nzJiBGTNm6Hxt586dWs+1a9dOb+XPx8cHmzZtsmTxiJySIAjIyCtBE38fWxdFC7vrOCdZUvkdCINE5Ewyc0tsXQSSSfKNqoyiy9mFZr2/olKJ2X+dRO/whniot+MEFPVdo+Sok7j69ZCInAPnQyZyUp9sOY/ohdvxza5Lti4KEVkIs2iIyNb+O5GO3+OvYtafJ2xdFDKDPd6ws8cyERGDRURO6/PtVbMDLtxw1sYlIVfhinGMmrbZFb8TW2Jzg0h+OUVlFlvX9rOZGLpoF05ezbXYOskwZj0RkbEYLCIiIrIg9TukrJRbF7sCkkpucTke+iYOPx+4YuuikAFPLD+CC1kFePLHw7J/lqMF7x2puLzWETknBouIiMgiNKuKrlZ1tEacwtW+UyJzfbPrEg4l3cScNYm2LorNOUJDvrC0wuT32P9WERE5NgaLiMj6ZGpV21tSAbMc5GGv4/Zwf9uG+tFgp4eGQ3L049mc4AO5JkcIpjk7Rz/fEDkrBouIiMgirBHEefWPE4j9dDdKyitl/yxj6NxiVnqJyI44wuDBCitEC6wZkLDE5VCuS6ojHA/GupZTjInLDmH3+eu2LgqRU2KwiIisznmqKWSIHBXdVUdScT6zAFvPZFp+5ZYi6Pk/yY53p4lIH33XJGcKntiKrbI6X/3jBHafv46Jyw7ZpgBETo7BIiIicjj22d2IDQ4ie2GNTBUiObF7XM0y80psXQQip8ZgERERWcSLq4/bughWp7PrnVob1dJVffsMkhGRPbN00EGOQJyzhfZ4qjaNs+1/ImfBYBEROQ3eSLat3eevI7e43NbFIBfDAJo85M7M2Xo6Ey+sPIYCDkTtcOx1kgEiIrIsD1sXgIiItDnsTD5WakPYY1OFwUrbYxvWcTy14ggAoEmAD14d3t7GpSGi2rDVqZfXXSJ5MbOIiMgO2ctsX0REcuKYI+SMjA1cp94swsAPduDH/cmylkcdAyxEZCwGi4jI6lylouKKM6y42oCcurZWfa8z08W63Nxc7zdH5BRc9Kf79n+nkXKzCPPWntJ6jdcPIrI1BouIiMjhuGi7wsVCceQSeFDLjkGHKvY41lJ5pdLWRSAi0ovBIiKyOlfMuHFFcmYZ2V+V33UDWLbmatls1uIqGaBEcrDn85IdxsyIyE4xWERETsR5Wjdyz0RElqGr0q2+7+y5wUDkzHgKlY+9XJ/sMVPIkpx766Ts5ZgiIikGi4iIyGKcvO5ue/yCyQbyS8qxdG8SMnI5GDU5Lns8e9oiSMK4DBEZi8EiIiIiC9BV6Wdsh5zBnDWJePu/0xj79X5bF4XMwOCA9bnaud9WWV4c1oBIXgwWERGRxag3SuSsO9pj94MKDlRKTmrH2SwAwLWcYhuXhMxhh6dLLWzya3OE/UZEzo3BIiKyOle5y1mb7XTUr8jVKrfqYxIdTr5lw5K4Llc75qzFWnfsufscjz0G6x2Vo17rLY3fA5F9YrCIiJyGqwShyD4Hw7TDIhER0W2OF+NyuAKbzXW2lMixMFhERETkIFihJmtRD37aY3CWbIfHg2Pj3iMiYzFYRERW5yr1TBfZTJuwl24Quoqhvt/to5RErocD31bjecj6jP3OXaU+RESOicEiInIazlTnctQKJBslUpYOap24mmvR9TkbR/3dEJH8BF6h7Ja5p26e84nkxWARETkNVgPJlnTVWUsrOEMaOSb145kNMnIGzDYjIjKNVYJFixcvRnh4OLy9vREVFYVDhw7pXXb58uVQKBSSh7e3t2QZQRAwd+5cNGnSBD4+PoiJicGFCxfk3gwiIrNdvVVk6yKQlag3rIvLKm1XECIisg0LZJXaSW9rInJhsgeLVq1ahZkzZ2LevHk4evQoIiMjERsbi6ysLL3v8fPzQ3p6uvi4cuWK5PUPPvgAn3/+OZYsWYKDBw+ibt26iI2NRUlJidybQ0R2zN7uGaoPAnqzsMyGJSFyDcwccDxyjT/GbCjXo1QaPpbYDU0+DGwROSfZg0WLFi3ClClTMHnyZHTs2BFLliyBr68vli1bpvc9CoUCISEh4iM4OFh8TRAEfPrpp5gzZw7uvfdedO3aFStWrEBaWhrWrFkj9+YQkQWwQUdERGQd9jAhQFFZhcXLobm2y9kF5q3IxaokdjmbnR0WiYhkDhaVlZUhPj4eMTEx1R/o5oaYmBjExcXpfV9BQQFatGiBsLAw3HvvvTh16pT4WlJSEjIyMiTr9Pf3R1RUlN51lpaWIi8vT/IgIiKqLfW2j6r+bY/1cCIifTYmZuB/607XmJljruOpOeg4dxNe+/Ok3mVsGsBQ22xLfQfGr0X/dttBjM9orpS1lZRdiKTsQlsXg8gqZA0WZWdno7KyUpIZBADBwcHIyMjQ+Z527dph2bJl+Oeff/Dzzz9DqVSiX79+uHr1KgCI7zNlnQsXLoS/v7/4CAsLq+2mEVEtyFUntLdGumSAWBe8bWYPd7Plpl5B1rW5rlSBJudib+dTks+0n+Px3Z4k/HcyXZb1f7G9alzRVUdSZVm/sYy5JP104ErNC5HLKimvxOCPdmLwRztRxgksyAXY3Wxo0dHRmDhxIrp164Y777wTf/31Fxo3boxvvvnG7HXOnj0bubm54iM11bYXKyJX5wIxBJflCgEifQpKKwBIj28X/jqsht+x/BwxbuSIZZaLsVk7WXkc+/PPo1dtXQQRbzbYn9zicvH/xeWcwIKcn6zBosDAQLi7uyMzM1PyfGZmJkJCQoxaR506ddC9e3dcvHgRAMT3mbJOLy8v+Pn5SR5ERLKrRWvFFTORHN07685oPcfsDCIi12NsEJvXCCKyZ7IGizw9PdGzZ09s27ZNfE6pVGLbtm2Ijo42ah2VlZU4efIkmjRpAgCIiIhASEiIZJ15eXk4ePCg0eskItti5Yicha4GAY9vcjZyjifD3An52Trjk9l/9oXXKPPxWCZXI3s3tJkzZ+K7777Djz/+iDNnzmD69OkoLCzE5MmTAQATJ07E7NmzxeUXLFiAzZs34/Llyzh69Cgee+wxXLlyBU899RSAqgrLCy+8gHfeeQdr167FyZMnMXHiRISGhmLMmDFybw4RkVlcpXLGepQUK5bW5Sq/M2tgdiNZir2cBo0px4mruZi64ghuFpbJXh5b4XnSfOpdA/k9kivwkPsDxo0bh+vXr2Pu3LnIyMhAt27dsHHjRnGA6pSUFLi5Vcesbt26hSlTpiAjIwMNGjRAz549sX//fnTs2FFcZtasWSgsLMTUqVORk5OD/v37Y+PGjfD29pZ7c4jIjrFxQ0RkGWwIkaMxOzivcaxvPp2JAN8z+OCByFqUxbjCWOpnplDY9uZEbT/bUU43khlQbVcMIquRPVgEADNmzMCMGTN0vrZz507J35988gk++eQTg+tTKBRYsGABFixYYKkiEhHZFwethThosS2KQUvr4iCw8pPziGb2nfOzdTc4c1zPL7V1EaA04Wsz5SvmNcoy5OyeS2Qv7G42NCIiZ6FejXDFOoXjNQ9M5wrb6Ehc8GdGZHXllY45ZbjegIoMJ3JLBBL+iJdnZjZnqo8wYEMkLwaLiIjIYhg8kXLAG+pEViVXW49tyGqWnuI7/soti67PHtX21G3tbCpHP95LKxwjAKm+Vx38KycyCoNFROQ0bhTaPm1cnavf8ZKzrmzPQRgX3+1EJrHn37Kz2JSYYdH1mbrPjFncnPMmjx3zyHGJunarWPy/OZlnV9Xeb8/Ug4C81pMrYLCIiJzG4WT7vdtp6hgBrIQ4Bkcci4OIXMvei9kWXZ+p1yf7OU3aTUEszpRdIseNrJIKy2av2Sv7OZbtw63CMuy7mA2lKQNskUNhsIiIrM7VM24cUaWRFQH1ipScAw87yiHE6pP8WHknMuzS9UJbF8HlGHtacpRrGVUpUevSWVzmGgEyQ4Z/thuPfn8QfxyVZ3wtsj0Gi4iIqEYVSscYT8DaGKewPe4D+Tlig5Y3JeTjdF+ts22PjTlzAL9QLUBUxGARMvOqhn+wdFdXsh8MFhGR1blivczpKtdGcNUxi4jIePwpy6+OuwtegGrJHq4xPnXcbV0Eo9X2+2oXXN8yBSEii2KwiIhIJuoBIlcJFrnKdqrYQ4PCnl25UYghH+/E6sOpVvk8Vzv+5GStzByO+yW/vi0b2fTzXXEPG3tYGxrP8K4OQRYqjeZnOg9rbwvPV7rxW3FeDBYRkUMzZ9YNkg/rUVKuXrF8859TuHS9ELP+PGHropCJFAb+sqT/TqTLsl5nahA7Ol3nwXMZ+XhxVYL1C6OLjtO0UweeZdi22n5f5r7f2ldY9c9z6mOE6DYPWxeAiKg2TqXloVtYgK2LQVZmz5U09YwM1w4VSQcDlYurB+SIHNH9X+2TjP9iCZY8EzjaaUWhUNhNoeWc3MKecFw0cgXMLCIih+YoDUVDqebOSs49Yze73cbl2HAyHWcz8mxbCDviir8z0s1eThHOyBK/M81AkSV+uWfSDZ8LrXndsMhsaDKVt6JSUPu/Y2dnW78bmpU/0AiVSgH3fbUPz/xy1NZFISfEYBERWZ0lb8aYet2+kJmP1/48gau3iixXCD1qs5mO2uR1lTuKhkj2nYxfx5Hkm5j+y1EM/3SPfB9CBPvO5CNSKa1w7MBHbZjyE71ZWCb+v0iG7E97DKg4s1NpuTiWkoN1J+Xp0kuujd3QiMihmVopGbO4KvX9+NVcbHh+gDyFus2Z6kvm3ElmhVFeZzLybV2EGjHG4LguXS8Q/++Iv2UeezIy8cu12vFj7ufY6cHiSjdfHKdLV/U+sZcSO+L5mRwHM4uIyMGZdpVUpb7XlK5uCc50AXelSqspdH0v6nVefm/kqH45mGLrIpCFGLoWTVh60OT12Usj2VT6vocbBWW6X6jVZznGud9R96WKLWNMDhPfIqoFBouIyOoseX215/qYekXCNSsVdrxzZKSehSXn8emSh5QOStc8zKzKNc9frmHPhWzZP8OYoPmtonKz1mzq5+iy6VSGWe+Tmz3XbzTZqqzW/lxH2ifW5CjBUTIdg0VE5NAqHKSlaGpby3FSsskQxzg6HdvKQ8yAISLzG/K6rrbOfO6Wu3bBuAGR82CwiIis7ky65cZauXar2GLrIv04ZpHxJN3QXPQ7ULFGzHNDon1mBZCNMd7ucmo63erLPOoT0dDyhTGSoXOkbNcP/jbMpr5LOPtmNd7gdF4MFhGR1WXklVhsXUq12pT6taqwtMJinwEASqWAjFzzy+3o11GOvaObLYNBljim0nKKkWtW9w/jWPv7cfTfmb3i10q1Ya3zgK7PMea6Hd6orgylsS5Tzn35JZatH2kyp75g7jnG2ud89WOM15tq7IbmvBgsIiKHpu/6dCrNsgNYv7AqAX0XbsN6Tk1qmNr+kLPuYC/BK12lcJT6Y3ZBKfq9tx2RCzbbuihEJCNbny+tFizSsZ3PrTxmnQ+XgTX2mxwZIc4cN2DmMLkaBouIyKEprXS1Xns8DQCweMdFWdZfUl6Jnw5cwbWc2nWrS0jNwfBPd2PPhesWKhnVhpyV/dqmwFs6oEpErkE9wGDJjIKistplvOgqylm1mU9NKeq+i/IP/G1Jjt4lylGydJhZRK6GwSIicmiOc2PHcK3iw03n8OaaRIz4dHetPmXC9wdxNiMfE5YeqtV6yDg1NZRc/c6jNSrTjvIVf7/nMt5ck+iQ6fqO2CiqTeO50kEmTrAV9W/WkodzjgxdYo3JnLlVVKb1nLWOAUcP8uhizV+PHOemkvJKlJRX6nzNEc/fRLXBYBERObRStQu6tAIrzwVdrkbT7vNVmUB5tRxLIN/CYzXZK3uuYEvS1K30OS7NQSrv76w7g58OXMHRlBxbF4UMOJR0E53mbcQvB6/Yuigm+2zrBUz/OV72zzH13GOtbnDmnhNvFGoHi2rLEqclBzm1WYS5+87S35FSKaDH21vQed4mlFcqtT/Psh9nEfZQF7DH74Usg8EiInJo6gM1WmM2BmsFKezt7pWxxREk/5dvG2w9Boex7G0/qrOD+qVLqm1XG5LXM78eRUm5Em/8nWjropjsk63ndc4OqLpulVUoLXJOUl+FMWuz1mlQVzKQtYL3rk5y7bfj615NisorUVRWiQqlgOv5pbYujsNgfcJ5MVhERA5NvXJojYuVufGomt5X0+szfj0KJbtGOAjHqDbJPSMOYP0MME7fSyo8FKSy8krQad5GPL8ywaLrtavAgJllkWMTjL6hYeA4taNvtka2+rnJ+TvX9f3b0+FOZA0MFpFTKymvxHsbzuJI8k1bF4Vkoj7AtTUaBwqYVzmubdH+O5GOXQ4waLVcY1nIIbugtNYNnZreLWeAr7bHlCPPEqTO0e5oO0ARXZqz7p+Vh1NRXimIkzXUhqnX2oNJxtXBavvVO+mucziOvB9MObQZjyZXYJVg0eLFixEeHg5vb29ERUXh0CH9A69+9913GDBgABo0aIAGDRogJiZGa/nHH38cCoVC8hg+fLjcm0EO6Ps9l7Fk1yU8sCTO1kUhmehrHMpVWSmvFDDisz2YuTpBpk/Qr7hM94CL9sQSDRFrWH04Fb3e2Yr3Npy1+Lq3nM4U/2/PlWZnGcRX0iXGOTbJ7tjzGGH6mHss6BqnxNHJ+Vu3p5+crn1uzJErx40mq49ZZOOfqK2OgwIZM2R11S8dpQs8kaXIHixatWoVZs6ciXnz5uHo0aOIjIxEbGwssrKydC6/c+dOjB8/Hjt27EBcXBzCwsIwbNgwXLt2TbLc8OHDkZ6eLj5+++03uTeFHNCl64W2LgLp0CeiocXWZe327un0PJzNyMdfR6/VvLAJjGmMOUJDOO7SDfH/9lzct/49BQD4Zvdli6/7z6NXxf/Luc/YzaaKeuVd/bu3V9xv9i232PIzctla3OUbNS9kB1Q/jWMpt/Dl9guoqCFwp3l+tafMQvspifWZsxvMDUgX65m1jKyLXcCdl+zBokWLFmHKlCmYPHkyOnbsiCVLlsDX1xfLli3Tufwvv/yCp59+Gt26dUP79u3x/fffQ6lUYtu2bZLlvLy8EBISIj4aNGgg96YQkYU0qutpsXVVqndDs/WtNQOSbzhG4NKeKtuOoKavS8nv06rOZuTbugg14iFhHWy7SFny65C7u/F9X+3HR5vP4+cDps1IZ25R7Pc3aXzBXPVwD/Hztuj6ajxv2OGxYs91X3J8sgaLysrKEB8fj5iYmOoPdHNDTEwM4uKM6xZUVFSE8vJyNGwozUTYuXMngoKC0K5dO0yfPh03bui/a1JaWoq8vDzJg1wDT5/2yZKVeEljXH3WEzu7oKfeLBb/r1QK+GzrBey9kC0+Z8x3Inf688bEDHRbsAW7zps/NpJ0/Jjal4n0YwWxCo8z+THw4hqM7a6mnkUg53XpQlaBScvr7IZmo4PXUc5Lsnw75mQW2eE5Rtc+dJDdSmQxsgaLsrOzUVlZieDgYMnzwcHByMjQntpTl1dffRWhoaGSgNPw4cOxYsUKbNu2De+//z527dqFESNGoLJSdyriwoUL4e/vLz7CwsLM3ygisisNfauzlOywriFSz9j590QaPtl6Ho8tPWjDEmmb9nM8covLMWmZ/nHlSKqmhpKcDQaOnUBkn/5JuIZ7F+9DWk5xzQvbkb+PWbZ7tak0z2imnuF0LW/vky4YqrdYo7x2+JXYVE03YSRj5MlcFnMwO5wsza5nQ3vvvfewcuVK/P333/D2rk4zfPjhh3HPPfegS5cuGDNmDP777z8cPnwYO3fu1Lme2bNnIzc3V3ykpqZaaQuISG7ubtUX9h7N7bc7qvrdzdSbRTYsiXnsof6hfte7tuWx1uawG5r8HO0rtsc76GRZz69MwPHUHMxfe8rWRTHJlRumX5vs6ffXsnFds94nywDXNgwl/HLwCu78cAeuWLH7uzSIYsVtt/IJ1R5v0vCaQnKSNVgUGBgId3d3ZGZmSp7PzMxESEiIwfd+9NFHeO+997B582Z07drV4LItW7ZEYGAgLl68qPN1Ly8v+Pn5SR5kfcnZhbiYZf/jSZBjUa+gtAupb7uC1MASF3N7qpTbwpbT1RmpZRV2MmNRDfuk1lNBC4LeAXcdoRuaNSqxjvazcMTfsSMO+mwPv47CMvlmajKVIzYoTf2t+NRx13rOEbe7tt74OxFXbhQZFay0l1kx7WU31XS82OP52x7LRM5D1mCRp6cnevbsKRmcWjVYdXR0tN73ffDBB3j77bexceNG9OrVq8bPuXr1Km7cuIEmTZpYpNxUe1tOZ+KrnRfFdMhKpYBBH+1EzKLdKCi1n8oTyS/xWi6SsuW7u6WeuZGZVyLb59SWZGglHbURY8ZVcIT6gHoKtKXvwE37+aj4f3tpANS0hbWtxC347zQi39pcu5U4uXMZHIdQbkVlnHHIHI4Q0HUmNZ1v9V2TPNxst58sNaaSrtWUV9Z8AbJU/Uz98y9dN36sqdWHU/Hj/mTzP9fsd9bMEccsslXgiGc65yV7N7SZM2fiu+++w48//ogzZ85g+vTpKCwsxOTJkwEAEydOxOzZs8Xl33//fbz55ptYtmwZwsPDkZGRgYyMDBQUVJ14CgoK8Morr+DAgQNITk7Gtm3bcO+996J169aIjY2Ve3PISFNWHMEHG8/hwOWbAIAKZXUWQHZ+qa2KRVaWlV+Cu7/Yi8Ef7ZQ8b8kKtPpNsZuFZeL/c4vLkZFrP8EjewluyG3HOfMHx3ZE5jZOjPXDvmT9L1rhmLKbDC4D7OTGONWgqKwC2QWudf135PP+oaSbeGL5YZ1dmeQaB0j2r0tPWVs1rmf5j7LA91LrzFQj1iDHGDdXbxk3Vld5pRKz/jyBeWtPIbugrOY36ODIvzFL4XdAcpI9WDRu3Dh89NFHmDt3Lrp164aEhARs3LhRHPQ6JSUF6enp4vJff/01ysrK8MADD6BJkybi46OPPgIAuLu748SJE7jnnnvQtm1bPPnkk+jZsyf27NkDLy8vuTfHIQmCgKkrjuD1v09a/bOz8qsa6+rBAavW63kCtakUM8Y/MJV6ZUj9gjnt53j0XbhNEkBydKZW6mw+0KGcgzvbSYCgtgNc5xSVYezX+02eItoavt9zGW3nbMDOc1m2Lgo5gW5vbUGvd7bihpUCRmxAma5XePW4fw99E4ftZ7PwzK9HtRc08rtNzy1GSbnxWWnap0sTr3k1DHH9l74BvJ30WNl38QaKaugKactLqXpmeE3ltAVdxxPHISRX42GND5kxYwZmzJih8zXNQamTk5MNrsvHxwebNm2yUMlcw9mMfGw+XTVu1Lv3dbFJGdQrbTZvwJIo/sot/Hs8DS8Na4v63nWs98EGKmZf7byIq7eK8b8xnY3rmqXevUvHis9l5CO6VSNzSikbazViZq4+jk/GdbPIuuxxUEd7NPbr/ZK/azrfLd5xEfFXbiH+yi081reFSZ8l92H0zrozAICXfz+BI3NialhaNzmP9RsFpfjrqG1nbyLjlVVWZamduJqLwe2DbFwa67DVtO3m6tcqUOu59BzDGbr6rg0XswoQs2gXmvh763ydqhieDc34666+jO0luy5j5tC2FvkMOdlHKYxg5wW18+KRA7Lr2dDIMiqM6LMsF2tdg1JvFuGXg1dQWsFxFUwx9uv9WL4/GR9sPGfroog+2HgOvx5MwclruUYtX6kUcDw1B0VlFXZ9J1kh+b/lC7rjXBaW7k2SPGdv0yDXal01nEzkrvAu3HDGqMFC46/ckvxdUxepQocYC8Y+q5/Tfo7H/9afkf1zLmTm4473tmPV4RTZP4usL6+kHBWV8nS3tKdLkrmBK3Pft/VM1U3K9Fp0Bzf5tG7uqcpCpzilFfvEGvtZ1/NrCPbJUGRj1+mIY3rxxhm5GgaLnFB2QSm+2HYB6blVfYbt7cQmR2liFu3CG38n4svtumfEk8vFrALc/9U+7Dpf8zgt2QWldjtegymDEVqCMdWDYo1GtL5gwN/HruHexfsw9us41POySrKkLNS/k4pKpcm/k8k/HMbb/502+/PP2sEgwYIg4GJWgc7ZWTR3v6ntF6VSMKk7hLqS8kp8s+sylu9PFs+r+sqlqabXHaGqrL4Nh5Ju4uot+buXGuNw8q2aF7KAWX+ewLWcYrz6p2W6ctvXFdn67Cmon5Fbgq7zN2P0l/tkWb9qW/NKyh12NlhjZ4e6VViGjYkZKJcp8GYMnZ3QrHS8Hbx8A13VJiMw5wbGhUzpMaJvDTN+PYqYRbsk1zR933vN4+qZx9C1ULPdcTGrAMk1DKRt7m66IvNwB5rfq6WCayev5mJjYnrNCxpgL1lhzmj72Uw8/G0cPtx01tZFsTkGi5zQjF+P4uMt5/Ho9wcBmH5iu3qrCMv3JWk11s2hK1AluaAIAi5dL6j13ZjS24Ow7r90Q/K8pe5apN4swqRlh7D/Urbk+Wd+OYqjKTmYtOyQwfeXVyrR652t6PXOVocYMNZSNLsf7r+YjetGDnBu7BGhmsnjTHoeIhrX1XrdHmdIq6ny+pOe8WvkqhdkF5Ri+Kd7LL5eUysy3+9JQsyiXXjtzxPa69L4W3MwTPWPqqhU4nhqjiTo1HfhNrR/cyNumTGGlfoYBeUV0pLUOBuajKEBXcf2b4dSajWzjC45xeW4llOMxGu5eOibOPR/f4dF169OEAT8fiQVp9NsH7xUMbXxeyotF7lFjjfVvLVYq2uWMdf/zaczAFRdP+QpQ5V+C7cjZtFuzF97CvklVcdGRaUSF7MK7L7BV9M1W1X6B5bsx7Sf47F4R9VNO0vsZV1fzYaT6XhzTSLKK5V4VyOzUNfyRpXDAoWdsuKIZLZfc3braSOPw/9OpONydiH2XKiuk1boqUfX9oaGLsVllditcZNU/Vqnvs7C0grELNqFQR/t1HkjqPr9ptt/Kdvi41IeS8kR/38w6SbavLEBX+2svhEtbcOY9xmCIGD0l3sx7eejSNSRRW/MNeeFlccQMXs9xizehwtqgWj1CYUcSV5JOXaczbJpsFldVl4pDly+iXMZ1r2Zbo8YLHJCqhnILl+vakSb+sMb8dkezP/3NN7feLbWlRjdb69+8ovtFzHk410Y89U+ZGk0fCqVAn46cAXnM/XfjcstKpdcnOXy/Mpj2HX+Oh757qDk+RuF+itRSdmFYnApr7i64aCqKNqaeoDOGnX3cd8cwCPfH0T/97frfL2iUoljKdWZAprHjrmHomaAz1ZqKr76Pki8ZrjCqFQKeOz7g3j59+O1LxiMuzMnCNXBn4LSCpzLsPxd8k+3ngcA/B5/tcZlV8QlS/4uVrvDOnftKdy7eB/eWVedaZV1u8Hzfz/Fm1wufY3Ozacy8NCSOIPvrTGzyMzfXvyVm/ho83nJc6UVlZj910nMW3vKooMIVyoF3PHednHsOzltPZOFV/44gZGfS4OXa4+nYf9F6/yWr94qwqrDKWJgPzu/ujGiOp+UVSiRU6TdSDmSfBOjPt+L6Pe26V2/HSXW2IQC9nNHXLPBa6w/4q8adTyqAmOqesry/cl45fcTUCoFPHM7O6TL/M16z6e6vqdL1wuwIi7ZpjeedE01f+l2nXPdiapsCUvUK3StY/ovR/HTgSuY9ccJrdk3zb7ey3A4puUWG5V1LimGifUeS5xLDA3YPPefRExYelBSX6yoVKLD3I0GMy3VV6meUW/JQEBxWaVWndxc6r8z9fK+/lfVNqoP1aD+bU1ZccTkz9p7IRu93tkq/p2kkXH1/Z7LaPPGhhrPL2sS0gAACak5eHFVdV0wx0Y3Kmr6vSuVAqb9FI+PN+se9mLC0kOYvPwwPt92wejPfPa3Ywh/bR3Gfr3fYCCSaofBIge17kQ6Ji47JImoC4KADSelKY0fbz6HB2pozGjKL6mq1GxITMfAD3dgwb/Sri3vbzyLh7+NM+mkr69CtmhLVWPnxNVc9Hl3G1JvFuGjTeeQXVCK3w6l4M01iRj2yW6d7y0pr0Tkgs3oPK96wHO5KqDm9Lkf/NFOPPLdQdnuWOpSVqHEv8fTjMre0TsriEwOJVcFMUv1VHD/t/4M7vuqenBgzel6jdmzuhr16s/p6oZ0Ki0Xk5Yd0nl3x1xXbxXhu92XJRdtUyp1+o5jVePgdHoe9l7Mxh9GBFWM/MQal9h7MRsRs9fjxVUJ6DxvE2I/3V1jZcbUX6OhjIPcYmkFSPMrUg8W/XqwamwZXdPOq45DcwkQIAgCvtx+AVN/ise1HMNTBMtVfVl1OFXrOfXK0rGUHMz+6wQybp+7KpVV1wfNoLwpTqdZ7jei/zOk58uLWfl4cvlhPPfbMTzyfe0aBiXllTiacqvGTNa7Pt6FV/88Kd5NzlD7zh757iAy80ow7JNd6LZgi/j9quy4PXNc0e3M3O/3XMYHG6Vp7KdqmTWVW1QuuYly8mou9l/MNjvwoc4ad3UVCuBVHdmDlqZ+vr96q0jnjaetZ0yf6W//pWy8/Ptxo45HXWe0jacy0GneJmw6VRV8LSitQOyn2vWckvJK3PXxLsxcnSB5fsjHuzD3n1P4fu9lk8tuKUM6BIv/13e9Miezu7zC+C4/uvaneqaNKab+ZHqjX5NmUX87lIpJyw6Z9LuseXZN0zJbjfpMAytZEXcFey5k44jaWHw3dQTJNQujvkr14+D9jWf1ji2qebQkXsvFZQNDJOiaPe1Yyi08+9uxGq/L6hZuOIPohdt13mDR9dWo7wNjx9ZU99jSg7ih1nbTrPaoJpZ45Q/zzpHq+7OkvBJn0vPsIjh/IOkGNp7KwBdqw4XkFpXjs60XcOVGIY6n5gCASZNW/Hu8KmAWf+UWEm6/X5+s/BKtMSXJOAwWOahnfj2K3eevi30pc4vK8eX2i5j+i3SK0y9qMYZPZl4pUm8WY9k+6aC5X++8hAOXb2KLEXeZBaGqH/uTPxp3IR779X58ueMinvvtGE5czdG5TKVSwKAPd6D9mxuNWqcl6DvPGnP+NdSdorisEhtOppt0h3BjYjp+P6LdUASAL3dcxLO/HcOYxTWPv7DnQnUFRhCA5OxCq11Q/juh3U9bs2H/2l8nkXqzCKuPpBrdgNEXa1h7PA1bTmeiw1zpMZN4LRejPt+LXeev44El+3W/2Qgnr+ZiwAfbse5EOs5l5KP/+zu0B95VK5x6Mb/bfRmpN6WZPfr2gqoCpHkHxdw7KmUVSq0gjD6qjBz1QbNr23g3hiAIiF64DT3e3mLR9RbV0M1WEKrHOFI/rpQC0HX+Zq2sHkPrMUSuAT6fWnEEvx1KxfMrjwEAfopLxvRfjmLIol2yfJ4xThkRbNL8Dccs2o1tZ01r0C/dm4Snf4nXGrR42s/xuP+r/Rj6yS5sTMzQ+37V+XifnmBoRm4Jkm9n4+08Z7hs76w7g692XpKMC3fBwNg1f8RfFQNO+vT63xYM+2Q3TqflIf7KTYz+ci8e+f4gJi47pHf8uYtZ+UaNj6GZZVheqdQbFP5xfzJGf7FXZzcQ9YBcpVKQjKemgAKrj9Qc6N5/KbtWY3r8eyJN/H//93dg2Ce7TR43UNe5VTObQakU9AYg9V2Tio0YP23L6UwkZRfqbTwdtWHDx8ujuvmgueWqv81pSA/6aKfRy+r6bnUFW4zJcCo3YyIYQRDwza5LNWYzHUyqGh7h4OUbWtd6zfJpZRap/f9WYRn6v78D720wbQwVUwJQ+upakt+BEV+V+jrVt++Hfck6b+IAkNSDbxSU4u4v9uKuj/Vfr3QV476v9uPf42m44z3dGey6fLPrMjLySvD93iTklZTjzX8SdW6HyoUs47sl7blwXTw+4i7dsOANPv3U9/eDS+Iw4rM9WH9S//VOn9zicgz/dDe+0Mj0ySkqM6utoKud8/rfJ/HJ1vO4+/O9kufjr9zCah03xAwzXKY+/9uGsV/vR/wV424YqrJBTQk8OisGixzcltOZyC4oReSCzfh4i3GNFwD4M/4qDl6+UfOCBqh++Bez8vHBxrM6U/IB7cGTVecYXYM9qrqK7L90A9vP6r4bE3/lllhR1yW3qBwjPtuDr3deklykajMGhr6LraH0Xelyup/vu3Abpv9yFG3nbND73pyiMvwZfxWFt09c034+ilf+OIG0nGLM/ScRE5cdEiuqm09VXRB0ndwEQdDbZW//pRsY9NFOfLpVd/rnp1vP4+Fv47TuCGXll+DDTWfxwcazUCoFnErLxT8J18QylFWYF8RQGfDBDsz64wSW70s2O5C16kgqnvvtGKasOKJVEbv7i+oLVEm57kpSXkk5Hv3+gM7XVGWa9nM8Um8W45lfj2LOGtMGwf3f+jMY8dkeSbaBIAg4edX4ivZKM2dpGvjBDkS+tRm3CrUDRroqtaYShKoMMdX3lJVfghdWHsOMX4/qXF5Xnf50ep7OzD7N35QpIRfN8WQW77iICUsPSioz4787gI5zN2qd16b9FI98E7q+ap4jdtwOfFQqqzKUzOmqsSIuWedvOfWm9u/+XGY+1hy7hvm3M0RVmaOa3l1/Bhez8rHqcIre8XbUszCMnXlSPRg26vO9OHE1x+CxrTloqj6Gzgdv/3ca609mYENiBvJKysUsxZ23u6xcul6IaT/X3B1R1/epVQ6jSisdsF9fgPBiVgFe/v04Jv9w2OC6VA3bkZ/vwdivpZnDV24UIiuvBD8fuIKnf4kXg8Exi3Zj2s9HJQGw8kolzmfmQxAEVFQqse6EdubZBxvPagWFBUHA4h0XMW/tKZy8losvtkuvGwWlFej//naxm+yaY9ckMzV+vcu4m1iPfHcQ034+alZlff+lbGTmaQeGrtwoEjMSdDWMNTOpO8/bJA7Mez2/VKvBo1QKGPn5Hgz/bLeegJFCa9BiY+kKVKk/p/oJ7L+YjS+2XbDITFw/H7iCScsO6R2zsqS8Ei+tPi5mRQHA4aSbSNFRJ1t7PE3rOVMJEJCWU4wf9ydrZZKk52hfFxKv5VlkvE2VGwWlGPX5Hny/RzuLa/PpTCzccLY6eGjgpuLJq7kY9+0BDPhAOt7brvPX8U9C9fdkaBf+sD8Z13KKsWTXJbV117zPjR3geuH6M2jzxgadXSLVB2ofq+fGmqDn/5rXOPVzkHrdWn1mUEs00EvKK7UmY1h5KAUr4pLx+t8ncc+XeyW/Z0EA3t9wVpIRruur+3CT/tmDr+eXivskt6gcE5YewiPfVdUtxn93wKShA8yt8wpC1fcX+8luMWD7/saziLt0Ax9uOqt1E0XfeeOHfUk4m5EvaVvuOn8d3RZswey/tOu5l64X4sEl+7H3QjYqKpV49rdj+EEt2UA9UKbaNlUgVbNONfbr/Zj15wlZhpH47VCquM2pN4t0nmf3X8oWM7ys2TvEXjnu1EEEoGqQ134LjY+gA1UVt5dun7CS3xtl9merGkExi6rSp6/cLMLiR3pIlvnpwBWt1EDVz1L1Pn3U7wD2f387tr80CJ4ebjUGaL7dcwln0vNwJj0PD/RsJj4/8vM9Zm1veaVSUuk8ePkGOob6ob53HaPeLwB6++jqyur4J+EabhaWYfIdEQCAJ388gvgrt7DnwnV8+nB3cbkvtl/Eb4eqggRHU26hV3hDpBho4D+3MgH/Hk/D+ucGoGOon87mymfbLiCqZUN0aeov2T5VEClm0S7smXWX+Hyf/1WPy7Ei7orYgL16q9jgBdVU/1t/RqtBooscORrf7rqMfRd1B1bLKwV4eigkDWdjZmjSrDxpNvwvXS8UB6hXdyotF/+dSMOMX49Jnt91zrzuJ6ruNYd1dM3SrNSaY+3xNKw9noaXh7WFm5tC0u9/7ugSBNX3rnEd+oJ4xmYIpOUUIzTAR/LcIxrBP9Wx+t+JNNzfo+qcoRr7beuZLNzdtYm47DkTG36Ld1yS/D15+WGcXhCLgR/sRLewADQNqP4OFm44g1mx7eGuYzwQdXP/OaX13MbEdEz7WTsIl1NUjhdWJUieK6tQagUYv919Gd/urmoQ/Xs8HS8ObWOwDL8eTBHPUZr+O5GGv45ewycPddN67Z7bs06dfXs4vOu4a73+26Ga7ybq21ZNhaUV6P3OVpRWKLF15p1ar5dXKuGuUMBNz/edkVeis1KsmQlQWlEJLw/tbdFH8/d/JPkm8ksrJNka6r7cfgF/Hr2GP6ZFo1E9L4PrLq8U0Ofd6vNyUH1v3N+jqfj3yWu5uKN1IICqbMHtZ7Pw/tguKCit1Dmb4jIdWQD/nkiXnN81g2r/Hk9DWm4J/oi/igX3dsL7Gt3wdJ1PBUHA9rNZmLMmER8+EIn+bQLF17LzS9FU4zesz6rDKVhzLA1n9MzuuPpwKlbpycy9VVimlUldXF6Jz7ZdwDODW+mss+QWl+Ps7cb15exCHLh8AyO7VJ8vtp7JFKeQr0lGbgkuXy9A35aNoBQErd9tYWkFBqtl3qhqQqpgXvNGvgbXb8w1+VpOMa7lFGuNCQdUdbGc9ccJrW7umpnjF7NqP2mJurtvZ6/NW3sKc0Z1EJ+/oWdg45f/OI7Fj/RA6s0izPj1qM6gobE+23YBp9LycCotDwPaNEa7kPria7oCZLqUVSgljWZ1mpOjGAoQ6HrtZmEZdp7LwsA2jY0qCwCtSR5U3+M3t8//H28+h28n9pJ047x2q+o3/srvx/UG0c+qB5mEqsDSt7suo1d4A8lyey5ko6S8Uuf5X0U9oJ5bXA4vDzfJ8pVKAXtr6HKo6n2wcmpf9G3ZCCXllXhN43yuPqaUAEHvzW2ganv8DNT7f9yfjHlrT+G5u1pj5rB2yCmu/p4LDdxgqlQKKK9UIrugFCF+0jpRbnHVLIrubm7493gaXohpU2PbQwDwzn+nJXWVlJtFGP9dVb3nSPItfP1YT9Tz8kDyjULc/flejOwSgk/GdcOJq7nYkJiB54a0Frt4qVMNHbLycCoW3t9FMnRAUnYhkrIL8djSg1j8SA/8ezwN/x5PE+sJ6j0KRny2B/8+2193+dW+9KTsQvRrVXUtuJZTjJWHUjChbwsE+emqOxrXAvgj/io2JWbgo4cixYz5c+8MF6/h6bnFFhsLy1kwWOQEykwcY0CzAgIAS3ZdwnsbzmLl1L5Gr0fzuqUrZV9XH9K0nGK0Da6v9bwhV29VVV5C/L21Gsqa1BuXxlRYsvJLoFQCIf7VJ5+C0gr8k3ANQzsG43CStPE/7tuqE2674Pq4pXYHIq+kHJ7ubigsrZBU6G8UlGKljnRKfZldz69MAAAMbheE8MC6Yh/bNQlpkmCRKlAEAA8sicPHD0Ya7FqjOvEv25eEjx6M1Ds+zCPfHUT7kPrY+MJArddSbxajuKwSPp7uWgN1qwc8TAkUnUnPw9O/1Nzwy9OTEWFJ+SXlmPvPKSRlFyIhNQdbZw40OCD5znNZGNoxWGtmLl0uZRWIlY2auh7pS9/feiZLa4yNzLwSowceLq2oxKZTmRjSPgieag3TDJlnjNPVZUuprGp8lJZXYnjnJjreVcXY2WGGfrIbf07vh4hA6Yx4GxMz8ER/aVBD35gxpRVKfLPrkmQ2OkEQtMalqa3tZ7OQXVCKrWcyMb5PmPj8N7su43DSTbwxqiN6tmhgYA3ajAmeqPywLwkLDXRl2HsxG3trGI/qRkEZdp2/jsvXC7SCRqpz9Cdb9We7Rr27DSM6h0gqnMZms5myrdUzZWpvT5s3qjI61864A12bBQCQds8FpOdZFfXfr+ou9fg+YXghpq1R3Qr9faSVfdW4gvpihKrfz5M/HsGaZ+4wuG7N7IuE1BwsV5sdT/26vf12lturf55Et7AAnevTddf1ud+k1+DcYv3nv45zN+l9TV3E7PXi/x9belByY+fXgymI1FE+QRAw/rsDqOPuhhVP9IFCoTA46C4AvYEiQP8dZEEQdHad1vTCqmNIvJYnZteaqu/CqiDfQ72a6Rx7Z0Nihph9rSrXDrUumqoBpi0hR+NG1s3Cshoz3tQdqGXmuuZnq6ju9huy7kQ6Fj8CvLEmEcdNyNDVRT1gMvefRPRs0QD392iG1kH1JFkx4a+t07uO7/fqDhTpIkB3dx19VMGP98d20btMZn4p4q/cwqGkmxjXO0wctFnlud+OYbTaDRHVVqlnms//9xTG9mwmySjTpDk20zv/ndbb3TSvuNxgsEhd5FubAQDLHu+FjNxSPBLVHL8cvKLzpokuL60+jn2v3YVZOsYAUj+/rTuRrjfzFgAqa+iqOG9tVXk+334RM4e1k5xrn/1Nf7vl+ZUJYr3/bo39MOLT3UhTq3/sPn8dW3Tc+FAnCILBbq4Hk26ix9tbEOrvLa57TUIahncOEa+tVYGz6vOJIAj4bNsFcVwhQHrO1lRQanh4g7MZ+bfHXTT+Fu/4bw8g5WYR9l3Mxl9Pa18HdTVpzmbk4cON5zBzWFvJ8/mlFZJs13ZzNqJZAx/c2y3UYHafq2KwiABA7AP98Le6u9uoqEd8t5zOlFTgcorKcfl6AZo3NHx36/EfDmPD8wNMLuPl7EKjKgrqJ2jNQZyVSgG/x6ci7tIN9I5oiPG9m4vZMacXxMLX0wNn0vPwzK9Hcfl6Id74OxEfPxip83M0Mww+3nQOaxLSkFtcjpFdQsTndTXKzmfmi0EnfXRlHa0zUGF9yUB6q/oF8Y/4q3hjZAe9ywJVJ/LconJcyi7QuqOrFASUVlSiy/zNBtdhrBGfWW7KdnMGIlenuU0xi3ZjYnQLvctPNWFmreX7k7F8fzL2vXZXzQuboKYK/K3CMjSo6wmg6oKo0qGJn/h/9TR4aykurxTLfl/3pvhkXDdJvSH8tXWI7RRssHKq7mZhGWb/dQIrp0ZLnl/w32kM7Ris511SgqD796qZbVBb6gEFzUyaoyk5GPv1fiS/N8riUwKrWGKQRzdF9V3xzk390Tu8IVJvFknOF7eKynQOQgpUnd9WHk7F1jNZ2PziQGTklmjNgKbLt7sv1biMirGDmd/z5T60D6mPO1oHSiqQxlDdTf/tUCp+O5SKGYNb61xOvfG8dG8S/Lzr4PkYafZWTZXUmgbwBLQbmtqZvQKKyyrFLDJT1q2PZvafpYe+W3UkFVMGRqB1UH3kFpfjy+0XcG+3ppJuxBOWHsL/3dmyVp+jbww2AVXds/S9pqKaxdKY7FJD9DWwtbq0nrsumQ3MlFmEaqIZUDd1zLhSAzcxq7rfGtdINPdYajdnAwJ8dWdglFcqMW/tKXQPC8C5jHyM7Kr/ZoV60O5g0k0cTLqJr3ZeqlVWviFXbxVLhiUQBAGz/zqB0golQv31Z9f9bWDCkt3nr4uBHM0sPxX1uozqOz+qNjttfkmFwZmJNQkQcMJAoO5ydiGC/Lz17l/N7mMA8MTyqgy2lJtFRo87A1RlpBSWVujpFlldgKu3DHd9m7MmEV8+0l3r+YpKJTzctbNC1TetppsvKupBaV31WdV4SZrZYZLPFYz73aRprF99RrX1GpMlHbh8U+8wFeaasyYRjetrZ8pqlktF1XPiaEoODiffRO/whpLX1yakoVVgPfjf/t1XVCox/NOqOoUx4x5evVWslQlOVRgscjGLNLpDpdwowsAPjetuorrAqmw8lYGNp6SDpq06nCqmshpiToDgcFLNF4ejKTk4mpKj9/XItzaLfWPXJKThzrbVqbsfbTqP/Zeypam0MP4kfz6zQAzw1DSY3CgdjaLNpzIwrFN1kElXXeoZPWO91ETzjk/3t7dgYFvDacuRC3QHgxSK6pRke2OowmSun/Q0Esx1x3vb8dqI9hZbX02ZN91vV/L/erqf5Hlb98POVMtm+vvYtapgkQZjA0UqxXq6rNVmW+esSdQ7g5+5auhlBgBoOXudXd/h+lxt8oTzmfk4l5GPOWsS4V2nutJsTBAyu6AUz/12zOjz7LvrjR/c1ZRZVc5m5Gud+/X5Pd64gTfVM9I0b3R8svW8VrBIF1PHDqsps2bH2SzcLCgzKduhJiev5SIjtwQr4pLxaF/9wfXauJ5fhtZBVdkKv8dfxXd7pOU3JhvOXIaO46h3t+p9zZKOJN/UmRkhl9pOdjHbwHH43Z7LeKBnmN7X1f1u5oDApRVKvd3PftyfjF8PpoizZhr6Lei7AbUxMcPiQVFAO+CnHqzqHa4/21TVbdpc6hPW7L14HTcKSnFIo86tb2ZiXbafzTJ4Pv1i+wX0CW8oqQeo05ysR92SXZfQUiODuCad5unOcFy2N9nodaw7mY7cpdo3cVfEXdHKXv5o0zmtgIul7L2QjceW6u8mJQjmzZKnno2k2dXQ0Ofpon4d2piYrjd73NwbYg8uicPj/cIlz6luyA5oE4gQP+8azx3yTC3inBgscjGfa8yOZmygSNc4KboYEygylykzEOijOYjauG+qs3v0ZQ8YO+1pnJFp12cz8nXOvDH1p3icWTBc/FsBhdZAdOZSv0OkYu40y5evF0ru6Do7OSqEurq2yO3+r8yf7U0Oml01pqw4YjAF3BjHU3NqNduIriwYSweKAOMqcnIGiozttmisN/5ORD2vquqEvjGmDNHXyLfkNLeWnDlqRZz+ALJ61xRVtyJ9nvrxCKYO1J0Nc99X+3BMx42PrPzaZU8eTr5V68wXXVTbuulUBmI6GJfJZ4hmN21Vdqy+LqS2Ys4sWuYwZkB2SzJ3CnoVQ12b311/Ft/s0l9X3H7WsucnTbvMrPuo+37PZaNnadVU09g3+sjxu9WlpFyJnu/ULgha042efRdv4NU/T5gdDLycbZkul8Zmn6roulb9eihFq5vzlzvMn4m6JjUFbgQIFp/Z2NwZd4GqbuNvj+lcq/VqTrwAQNK9Wp2x5y5Ldtt1dgrBWnNl25G8vDz4+/sjNzcXfn5+Nb/BDhnqH032Layhj1Gz7Cy4txOu3SqWNQBHZCsP9Wpm1PTZljBnVAejurCSfXn3vi54/W/TZhe0td7hDazWqHM1Hz0YadJsQkRy6dLUX+/YgsaYP7ojUm4WW7yLM1G3sIBadSu2N8nvjULHuRsNjslqjTI4KkvEPBgsYrCIiIjI7jSu76U18xIRERG5hg3PD7Do2KbmcPVgke55WomIiIhsiIEiIiIi12XrQBExWERERERERERERGoYLCIiIiIiIiIiIhGDRUREREREREREJGKwiIiIiIiIiIiIRAwWERERERERERGRiMEiIiIiIiIiIiISMVhEREREREREREQiBouIiIiIiIiIiEjEYBEREREREREREYkYLCIiIiIiIiIiIpFVgkWLFy9GeHg4vL29ERUVhUOHDhlc/vfff0f79u3h7e2NLl26YP369ZLXBUHA3Llz0aRJE/j4+CAmJgYXLlyQcxOIiIiIiIiIiFyC7MGiVatWYebMmZg3bx6OHj2KyMhIxMbGIisrS+fy+/fvx/jx4/Hkk0/i2LFjGDNmDMaMGYPExERxmQ8++ACff/45lixZgoMHD6Ju3bqIjY1FSUmJ3JtDREREREREROTUFIIgCHJ+QFRUFHr37o0vv/wSAKBUKhEWFoZnn30Wr732mtby48aNQ2FhIf777z/xub59+6Jbt25YsmQJBEFAaGgoXnrpJbz88ssAgNzcXAQHB2P58uV4+OGHayxTXl4e/P39kZubCz8/PwttqXWFv7bO1kUgIiIiIiIickrJ742ydRHMZomYh6yZRWVlZYiPj0dMTEz1B7q5ISYmBnFxcTrfExcXJ1keAGJjY8Xlk5KSkJGRIVnG398fUVFRetdZWlqKvLw8yYOIiIiIiIiIiLTJGizKzs5GZWUlgoODJc8HBwcjIyND53syMjIMLq/615R1Lly4EP7+/uIjLCzMrO0hIiIiIiIiInJ2LjEb2uzZs5Gbmys+UlNTbV0kIiIiIiIiIiK7JGuwKDAwEO7u7sjMzJQ8n5mZiZCQEJ3vCQkJMbi86l9T1unl5QU/Pz/Jg4iIiIiIiIiItMkaLPL09ETPnj2xbds28TmlUolt27YhOjpa53uio6MlywPAli1bxOUjIiIQEhIiWSYvLw8HDx7Uu04iIiIiIiIiIjKOh9wfMHPmTEyaNAm9evVCnz598Omnn6KwsBCTJ08GAEycOBFNmzbFwoULAQDPP/887rzzTnz88ccYNWoUVq5ciSNHjuDbb78FACgUCrzwwgt455130KZNG0RERODNN99EaGgoxowZI/fmEBERERERERE5NdmDRePGjcP169cxd+5cZGRkoFu3bti4caM4QHVKSgrc3KoTnPr164dff/0Vc+bMweuvv442bdpgzZo16Ny5s7jMrFmzUFhYiKlTpyInJwf9+/fHxo0b4e3tLffmEBERERERERE5NYUgCIKtC2FteXl58Pf3R25ursOOXxT+2jpbF4GIiIiIiIjIKSW/N8rWRTCbJWIeLjEbGhERERERERERGYfBIiIiIiIiIiKi2+7r3tTWRbA5BouIiIiIiIiIiG5T2LoAdoDBIiIiIiIiIiIiFUaLGCwiIiIiIiIiIlJRMFrEYBERERERERERkYqCsSIGi4iIiIiIiIiIVBgrYrDIYW2dOdDWRXBJsZ2CbV0EkkGov7eti0Bkl+5o3cjWRSAiMtr7Y7vYughE5CSYWcRgkcNqHVRflvX+777ORi3n5+0hy+fbu0b1vCy2rt+nRePP6dEWW5+6we0ay7JeudzbLdSmn98noqFNP5/IXg3vFCLr+r9+tIes67eFCX1b2ORz9792l00+V6V1UD3J324yVbKNrX+se66/PAUwkub3YY7V/ydPHcFZbXxhAMb1bo6tM++02DrH9wmz2Los4b9n5TmuX4xpK8t6iRwZxyxisMihfT6+e63XsXxyb8nfj0YZV8n9+KFutf5sQ/56up+s6zeXJSu/vcMbolFd3cGnCX1b4ODrQ8xa7wM9m6FXuPHBj4FtTQ8sDTIQjKrnZXogsXXj2leqjXXhfyO0novpqD9jbNqdrUz+jOeHtDH5PeaQqzFGUr8+FWWTz63jbgc7WObbalEt5c9cerxfOPq2ND0gPHVgS5x9e3iNy700VNrIGt+nucmfZQovD+2q2x/TohEa4IMmVsiS/O/Z/ngxpi3aBNVDy8Z1xee3zrwTw9TOpZcXjjL7OmbIoxrBuC0vamdab3phIDqF+iPxrVi8NqK9xctQk32v3YWtM+/EPZGhCKzFTaY+EQ2NOgblVJvz0GcPd7NYOUZ1bWLw9eT3RqF9iB+AqkDdq8Mts9+7NA2wyHospXNTf1nW27JxXeyZNVjyXI/mAbJ8ljP6d0Z/PNSrma2LITInWJ34VqwMJani6+mOzk39ZFs/UFVdSZg71KLrfMxGN3/sCYNFDuyeSNOyMRrW9ZT8PfmOcAxqF2T25+94eRDeGdMZMwa3Fp+zVMXA19PdIuvRLM+ihyJNev/oyFDEdKiu/LopFEZnX6l8N7GXScsDwNtjOiPYT1rp/0EjsKfPu/d10du+e/c+aXr2oocisXRSLzzVPwIfPxgJdz3Rh6cHSQMmuhpDd7RuhOeHtMGJecOMKqe6aYNa4Y7WjdBKreFhKfteu0tSWa/jLj3t/fpUFEZ1aYJXYttpvTcyLACvDm+HpZN64Yk7IvDfs/3xw+OG98PUgS3RK7yBRcr+eL9w/DpFf6Di9ILh6NWiAZ4f0gYfPtBVfH7vq4P1vsdYNW2nOR7oKW9F6tsJPcX/b3pBuwG57PFe+PjBSPzfnS0RXUOQIqh+1THTr1Uj9GsdqHMZXV20elto3wNA9+a1X1cXPQ0LQ5VC9fNvxybVlbs/p/fDPZGhBo9JU8R0CIIgCAaXeX5IG4w28VqnqX1Iffw2pS9+eLw3HuzZDP892x+9WtT83SpQdc5X0Rc4fnZIG9zfo6n4d7sQy2b+Nrp97f5jWjQuvTsSIzpXZ3tFRTRE0sKR4g2C7S8Nwqzh2ucyS+rc1B/Px7TBlpl3agXGpwxsCaA6Iy3YzxtD2tdczzj65lD8/KRxx5UC1dlbb93TCW2Ctb9v1T6o5+WBaXe2wjdq5wZdPhjbFW/e3VHna8/d1Vrn812b+eOHyb3xxB0Rkue/frQHmgb4AKi6qWfuubT/7fOOdx3L1IfMMXtEe5x/R/sGi7GGd7ZMZuIbIzvg9ZEddL7mpoDOwJAlGqbNGvgYzHz+++l+iO0UjLuMOMYt6QO1631N1OuwhkRFNERYQ1/Jc7881Vfv78KQ5PdG4Xs9dd+hOm7OaZ7j29dwDu2j54Zod43g1phuoXh5mHUypro088cHD+huY4Q19DF5fQG+dXQ+v+KJPpjQtwUe62v4psR790vr+/rqAuoM3ew99uZQJC0ciUNvDMFvU/rWuC51SQtH4uT8WPz37AC8M8a0NpQp3hjZAQG+nrXK6uwT3hAbnh+AV2LbYfqgVujSTJ7grCNhsMiJaGYJaTowu/oO3/cTe2He6E4AqiuipujQpD4iAuvisb4tMOOu1pg+qBX+nN4P93ZrqrWssenAqqBTE39vi6T9zRnVQas89/doZlLD4862jfH9pOoLnptCoTPA5uvprrfx0VPH86o0Yl3NJH1dosIa+ODxfuEAqr6r+7pXbduqqX0xV+1i7unhpvf7eyRKenG5v0cz1HF3w5y7O2Jsz2bY+fIgSYNoeKcQfPlId8zQqCzfqZGN1CaoHn55qi9eHNoWbm4KnHvHuDuh/87oj8vvjkQddzf8/GQUts68E8nvjcKJ+cYFnAwlPbQOqoe37ul0u9Kuv0Har3UgFAoFnhms3SBo6FsHCoUCQzoEY+7ojujc1B+D2wfh0OtD9HaFeG5IG/RvHYhHo8zLLvBQC9hNH9QKPnoaCi8PawvvOu74Y3o/vDi0LVo0qg60NWsgrfBNviPc5HIMlqHy27GJH1Y80Uf8e8PzA/QuG6njAr1yal+9AenmDX3RQS2w0aKR9DuYM6oD7mofjLE9m2H2iA74dUoUjhsIbC5+tAf+nB6NZXoaeu2C6+OrR6UN0D+mRWPlVGm3kfmjjato68p8iWhkevD0owcjcezNoVh4fxecmD8MS9XOX5FhAejS1B9LJ/UyWCncPWswVjzRB+feGS7JYunZogE+H98d/VoFYvX/RSMqoqpSZcw5Vb2Lw/l3RmDPrMH4ZkIvrZsYWu8b2hafjeum8zyqUFTtV0NiOwXjwV5hUCgUGNw+CB8+GInOTf3xx/R+NVa2VZ+h8mCvZlg+ubdkX2lWyAHoDbqrjOtlWreW+DeH4uzbw9ErvCHc3RTwUAt4P9a3BRRqhfTxdMcYHddhuWgeR73DG+LYm0Px9WPV3Qu9ddz80cxObVjXE/3bVAdl/+/Olvh0XDednymg6oZK8nujMOn2NbEmsWrdKTXPh80b+uKh3mF4sn8E4mZrd+WbOUzHjYRm/lg7oz8GtwvCM4Orr5kdm/hhRBdpBkznpn4Y3ycMLw9rixC1m0A1BfXUz2G9WjRARGBd7H/tLr3ZWpoNUl03QEzVqJ6X5PgCgONzpedNnzruaFxfO3vKmIyumA7V1xldGXPq9P2qfnmqL6YP0g7kdg6tfSNvz6zBqOvlgaWTqs5VqnqXSvfmDfDNhF5Y9nhvHHp9iFZ99xcjslLbqQU7IwLr4uib+jMjVJngD/UKk9Tp9fnlqSh8N7H6OqWrnvrcXa1xZE4Mgvy0sxJ9PN3FeqeKOWOmNlALfHw7oafW+J9faPSU2PD8AOx8eZD49w+P95Zsb/cWATo/57uJvfDufV3w6vD2SJg7FJ8+3F0MYJvC1Ix7XdcndbtfGWzycAu6MtST3xuFgW0b4+0xnfHOmC449MYQLHmsev+qgtQA0LRB9f9bB9XDv8/2x8n5w3D4jRgseayHVhaZLverHe8N6npCoVAgqL63UQnHLQPr4tXh7fHn9H5QKBTidfGxvi10HkPdwgLw+7Tadbv186k6znTdLFRpF1wfT/aP0Pnaiif6YPW0aHRo4odnBre2WHaio2OwyIloXtBVjr05FOffGQFPtQuxv9qJe9HtCpkqfVxf5btXiwZo2bgu5t7dUdIY9a7jjleHtxdPlgvu7SR5X+ugekZFeYd1CsbxecOw65XBkpPcnlmDJWVXp1lBUU9TVnWp07zQvTOms6QS1l8ja+DwGzF6yxgV0VCr609gPS+cXjAcq/4vGt9N7CU5cQO6KziqNOIQHRfn7yZUN+7qqlWyBQGYe3dHbHphIF4a1hafjOuGpIUjEdWykVYmizldLgAgrKEvXhvRHptfHIgDs4dgyYSeuLtrKHw9PbROvuqNds3Iu5eH4TuhgfW8sHRSL3Rp5g+321+oQqEQj2E/b+kdlWE67kRtemEg1j+nP9iwdeadehsShrrRGSPIz1vMGBvfp7kkwFfPywMKhQL/u68Lnrp9QZo+qJXOC3Pb4Ho49MYQ/K3W7fKNUR3w/cReWPdcfwT7eesNc/l6Shtphu5czRvdCQdmD8GG5wdg9yuD8dOTffQuKyeFoqoSljC36g5VhyZ+4r6dGC1N9dW13W4KBe6JDJUEhVTG9mimN4OsdVA9rbv/CoUC/j51JJWeloHVwRk3BdCzRUPxrv7GFwZg+qBWODInBpfeHYkNzw+Av08dSYNW1ZhXV1dPUEb9bm/zhr748IFIJL83CvtfuwsfjO2Ks28PF38bxvrwga54oGczNKjrifF9mmv9jtrerjAOqeFOc2A9Lwxs2xheHu7wrqP73NsnoiFW/V9VpUo99V7VJevInOrz6LcTeuL5mDb46+l+2Ptq1fk8rKEv3N2qfvP6MnZUWU1ubgr8MS0aSQtH4p9n7hBfH9S2MZ4a0FKSZfv30/3w85NR4jnmmwm99AZvXhvRAc/e1Rq/TemLrs38MX1QK4zsUh1UaFzfSxK8bRrgg0HtgiR3aB++nWWpGaDXVxH/v4Et8b4JWQEq+rJLdN2BV+rI1urRPEBrfCjNhq85BrcLwtgezfDWPdXXfVWjQsVbx/WgZw1Zcw19PXFPZCjevreT+HtXZZ6O721eIH5ox2C0bFwXs0d0wK5XBonPB6nVI5r4G5cB0EqtTqMe8NR1bVEoFFh4f1fMuKsNRqgdXw8b2I7xfcIwS62h8vu0aGydeSdCA3wQ7OctOb4e7NkM/VsHYsE91Xfs42bfhd5q2RemZKIAVY33R6OaY4yOBq6/bx1JEPzY3KGIbBagtdy0O1vB090NnUL1Z/hMjA4X/792Rn/JvlDXKqiu2BDUJOi5Sjao64n4OTGS66um5PdG6X0NqK5XD+kQjKNvDsUnegKYQFW9oHVQPfEc4qYA7mgdqDM4/N+z/RE/JwZvjOyAX6ZEYe2MO/BY3+b4++l+egPoG54fIMnWCfH31qrfAsDSSb1w/p0RiJ8Tgztu3wwb1aUJIsMCsErHGFgh/j6Sa+e3E3oisJ6X+Btxd1OI55nPHu6G1kH10TZYf51e1RBX3yuqrOK6nu5QKBTwcNPf/OwWFgCFQoGmDXzgXccNXh5uGNSuMULUuthGRTTES0Pb4iuNc5pSEPBIVHNMH9QKAb5V36NmffSFmDZY8pj0fZoa+NZBc40sK0PdQWvKJlUoFPjs4e64/O5IbHxhAD5+sDoD6eHeYajv7YEPHugq+V517VtNQfW9MbxzCPxv/zbeGNUBm1+sqhurn8tU7bL63nXQuL4XhnduIgks6fPkgOp6k3oWsOo3Xc/LA39Mi9Y59mCIvzemD2qlM5DWOqg+gv2kv/Xfp0Wjd3hDxM/R3warieftep++a37ye6Ow6cWBerPlIgIt37vBGbjmKMVO5IGezfBH/FWt5we2bYzFj3RHHXc3SSVz+qBWuJRVIKmo3dm2MQ69PkS8WDw1oCUe6NkMc9Yk4r8T6eJyb4zqYFS3iIFttCtLW14ciJJyJe7+Yg8uXS+UvObp4YY7WjVC59DqwIGnhxv2vXYX6rhXRbHPvzMCizafw+fbL0reu/+1uzDtp3hsO5sFQBpV97kdaHkxpi0yckvEbgL+PnWw/rkBGPLxLvQMb4DFj/RA+GvrxPfpukO2Z9ZgnE7Pw7COwbieXyp5TXUH1d1NoTO9tr6BwTh9PN2xZ9ZgDPhgh/iceiDvyJyh6DB3I4CqC6+bm0JyUVJVZLo2C8CqqX3FIFv35g3w19P9sGxvkmQfqqtroKtfWx1p/eoXzjrubri3W1N0aOKHfxKuYepA08b1OfzGEL3BTZX7ezTFX0evIbCeF2I7hWDz6UzJ6/4+dXCrqMykz1V5oGcz7Dx3Xev53uENcDj5lvh3Qz1jSgFVY62cWTAcPp7uePn34ziUdFNrmTdGdcDjd4SLwdX6Xh7IL60AUBXceCGmDYLqeyOovjRoaGgMJaBqAHPNLLEm/j5YNbWv3gp1iL+3WNlq2sAHg9o1Rtvg+vh292VxmXG9wlBQViHp5qJyd9cmeo8lY6n2uKoSBwCfPdwdR67cRFREI6w8nIqyCiWAquCo+mdfuVGEHs2rKpEbnh+AjYnpmPbzUQBVXf+eGdwKHu5uiJt9F9zdqu5iHZg9BOcy8zGwTaDe4+2fZ+7APV/uAwDMuKs1Zq4+DgCSTC0AaB/ih/bDtRs9NWXG6M9pq35lt1rDLzTABw/1rmpcjOsdht8OpRhcv7qxPbS7+akfD+Z0723VuB7G92ludAbqs0Pa4Nnbd0TH9miGU2m5YjZmDz3Xj5eGtUWXpv7Ye/E6Ho1qgYNJNxHeyFfStUO1/yLDArSee7h3GNYeTwNQ3XXPmHNMPS8PvHQ7a2TtjOpBYzcmpmP72SxMiK7K2jm9IBYVSkG8ls4Y3AZnM/INZvBodudQma3RlWbG4NaYcVdrLN5xEXe2bYyWjeth2Ce7kF1g3LlNVxcszcDSqC5NsNjMgcS/mdAT//dTvPj34kek63FzU+DjGrp3zxreDn8era6nzBnVAROiW+DjLee1lv3s4W7YcjoTk/qFw81NgQnR4XisbwuUVijh5eGG4vJKrUC5sb6d0BOCAK0grKFASks9jYeuagFDhUKBrTMHYtuZrBoznV4d3h4tA+uiR4sGBs8dC++XlkmhUEB96KCwhr6YP7ojisor8fSgqqzYk1dzxdeb+Psg9Wax+LeHxjYffXMotp3JxCt/nND67BVP9MHAto0NZgw+fkcE2obUR+vG9eBdxx3vj+2Cb3bXlVxPVOX+d0Z/tHx9PYCqG17XcoqxdG8SACDIzwu/TolCRm4J2oXUx5/T++HjzeewJiFNXMf/7uuMwe2CoFAo8NfT/RB36QY+3HROfL1ZgO7fGlCVGZVbXK7ztT9qmcWgz8L7u6J1UH0xk+R/93XGxH4t0LCuJz7YeA6T+oWLNwxVWS+B9bzQVUfADaiqk/70ZB9xPCZ1s0e2R3puMTadqqofJS0cKZ731CdkWfxoDwiCAIVCgV2vDMKdH+4UX9PsHj6sUwiGaUxs8NfT/XApq1Ds2uduINijaoirBxdeGtYOzRv6iteCNsH1gJO636+61tRxd0PC3GFwU7uRqKKAQrzO3BMZKp7/9V1wwxpW/x5euJ3l+vKwtvhos/Y5CKi6rv8xPRp/H72GhRvOoleLBga7g6rXV9Y/NwAjP9+jczk3NwXah/hJbhS/eXdHvHtfl6qbImrtOYVCgR0vD8L8taew67x2fVXdjpcH4XxmPqIiGkq+q0/GReJ8ZoHObvdublXXtu1nszDj12NaAZTOTf3QKdQfHz7QFb6eHpL11veugxPzh8FTrY254fkB+O1QCgpLK/Hn0auSYLcxVDf4GtXzQtLCkZiw9BD2Xsw2aR3qwXhT1fPy0HvddnUMFjm4D8Z2FU8u6l0WBrVtjPre2o1GfSl1mumnAb6eePf+LohsFoDhnUPg4+lu9CCNTQK0s2UUCgV8PN3xw+N9MP67A5gyIALz/z0NoKoCp6trl2bUe+awdpgQHY7e/9sqPlfH3Q2LH+2BLvM3oVFdLzwzqDUSUnIwRu2Oqb9vHSzRGK+grpcH9r12V43dBVTCGvqKJ5HG9b0wtGMw3BTA14/21Hn3/95uofjndmXHw90Np96KRad5m/Su291NgUql9lXOR61x18DXcGNNc6DYHs0boMcjDdCy8Xl8vu2C+PxT/SPw/d4k/DHdtEHEVYEtD/fqdNK2wfXxSqzuY0r9OwCqusA1rueFXuENamzEAcCih7ph0UPdUKkUsOV0htbrIf7euFloXrBoZOcm+L87c7Uar79N6YubRWU4eiUHKw+nYPZIwxc71f55Y2QHKAUBD/aU3kFUKBRaXcJU9DWwPDTGVNI1pMsPk3VnBhk7WLC7mwLLb6/jdFqeeEH28XSXZD3MGdUB76w7AwD4/OHuyC0ux54L2Xjz7o7o0KQ+mjf0Rf/3d0jWfVf7IGy/HbytKmtvzPvnFFJuFunMaPHxdMeA2wHmyf3C8c3txob63eIvH6mu6KoM71ydRXhn28bi96Z+N009QKaPegXdp07VMV5UVmn0+a5fq0boFhZQ4xgLQFU3i9LbwTBjGrzdwgJwYPYQHLlyEzN+PQag6hy+9Uwm4q/cwh2tG2F8n+bia7rOReoVXH0ZmqO6NsE6PYHAqqwIw1NR62rEAFXHuOZ+06WOuxtGdW0iZoaaPICrjtUbc47RZ3jnJpLjS3Nf+fvWwU9Gjq+jz7l3hiPxWh66hwXAzU0hBq0AYNnjvcUApq4uKT2aN9B5k0glsJ4XXoltB6VSQIcmfpLuXerUG3P7XrsLxWWVeOrHw0i+UQSg6loR2ykEXz/aA/klFXigZzOTs92AqnGL1j3XH6M+31u13gFVDeT3x3bBirgrkjF97u3WVKv7uEKhEI9jY343DfSM9VGVvar9fKiBO+xrb3cZf/e+LrhRUIrYziGIu3RDq5tx66D6Rs1S613HHRPUsmm+m9gLH206h08f7oaDl29g/r+njRrjCagK2Kjr3NQPUwe21JkxoOpW0zqonthV6oGezcRgkapeoL5sTfq1qj6uGtXzwusjO+C3QynIL6mQLKd+zEQ0rosn+kegf+tApOeWaJ07whr64tOHu+PA5ZvIyCsBIJ14pUfzBigpqxT/XvZ4LzRvZLiB11LPBBqmTARiCn+fOpipNui9h7sbOt3uEmcoM0md+k3E/43prPcc6+Xhji/G98Azvx7FHa0aGTzvqV5r0aguPN3dUFapRB13hd7rgjpfTw9JBnlNY81p0jzup93ZCp9uvSBZRnUMvqj23ekN0Kht5pxRHcRgkb5SrX2mP46l3pLczH6ifwROpeUhtlMIejRvgOsFpcjMK8FfR6/hhSFt4e9bB/93ZytM6hcuZqwYo2OoH5LfG4X5a09h+f5kncsE+Hri1eHt4abQn30MVGW6TB3YssZgUcO6nuiro/53X3fD40T6enrg7q6hGNYxRDwOWgfVw8WsAvHm04N6uk1rZi53aOKHBfdWZTe+e3/nGnsYqB9C6pmegPb1e/1zA/DTgSsI8fNGbOdglJQrkZlXAu867pi07JC4nPpnPtk/AhtOpiMtt8RgOVS+rWFcO1fGYJGDc3NTYMuLA3GzsAzNG/ni/bFdsP1sllbWgTn8vOuY1dfXy8Mdh14fggeWxGGkRt/95o18se/29L7u7m44nZanMxNJH11ZP9513HFyfizc3RSo4+6G1UbeLTImUKQ5WB5QdRKradDqeaM7wV2hEDME6np54L9n++O7PZfxso7xDyb3C8f3e5N0ZiatnNoXxWWVOrfdGEM7BOPzbRfEwfLm3N0Rs4a3N6qCoMmUqPvHD0bi6UGtcaOwFGuOXcOrw9uLqbKmcHdTSDJRgNoPlOzmpsDsEdrdLT3c3cS0XlMG5mxQ1xOLajlD4HND2mDX+et4QEd2iDpjUpNN8f2kXmj/ZlX2mmb3FfUKqptb1XF/NiMfXZv6azUaH4lqjpeHtYNPHXd8s/sSPt16Aa+PbI/B7YJwx8xA5JWU1xiAUf/0Fg3rIvFanvi3rkpwsJ8XMvNKaz0A4azh7XAsJQdDOwZrBetq4uHuhjVqXaMA4Nm7WuOL7RerxuxQ26gzC4bjUPJNKJUC3NwUWHs8TW/mgkqIv7ckZf+pAREY1zsM606m456uofDz8UDysEJ0NNDVQ6WTnjE82gfXxzqYnzXWuL6XOLaHptoEbWqiWrO+riu29tfT/bB0TxLWndT+br083PWOc9GlqT/G9wlDw7qeOrNPxvUOg7ub4caurjHYNKn/3lQBhp2vDMbFrHxcuVEd3NUcg8ccmpl6ADCud3OMM7NLmT4KhTRLTJ+wBr7oFhaAul7uesfKmTIgQhyTSb1OpSvz1lxDOwaL1/32IfXRJ6KR2YOzKhQKySDQnZv6wU1RNYZdYD0vnJw/TDIGnkKhwPl3RiAzrwTNGvjAx9PdqEFwDTE2hlDTmHh7Xh2MjzefxwAdgc4+EQ3Rs0UDtAmqh7vaGzd4syEfjO2KvRezxYDD9EGt0D0sQGd3Z2sJa+iLFo18ceVGkd5xLFU8PdxMnkjl92nReHf9Gb2DhltCdKtGcFNA5/eoKwg05+6OeGV4uxqDDID0/kBgPS9EBNZFeaVSbx2jQV1PrWPF19MDX6sNG6EKOmq2W9TLuuKJPpi5+jg+fKArekc0xLe7L+O3Qyk6xxfqppYFq4uucbZ00eyuJQf19sCf0/vhxNUcSTDYVMbsQ3W6rg/qOob66b1ppbrZpTkO0Zt3d8ScUR3Qbs5GlFUqtd63dsYdWJuQhof7hCErv7RW2+vsGCxyAupp6HJUvswR5Oct6Vqhy4RaTkcYpXYBre1sId9P7IWnVhwR/z4yJwbZBaVoZeaU7g3reopjQal0buqPzx7urnP5V0e0x10dgnR209B1t8AUXZr5Y+vMOyUZFuYEikzl4e52u8tc/VqfhKMiGmL6oFZYsusSBAGYcvvOtOYgxvrcE9kUy/Yl1boiLKeZQ9tK7kaqqMZtCfbzwvcTexsVFFCtb9GW8zUOcmrot3NH60aYPaI92t7OmvGu4663AtSsgY/YsH0hpi1mDG4tBl48PdyMytRRv1v51r2dUMddYXAa8j2z7kJZpdLgYM3GUHXjsJSZQ9tifJ/mCA3wwerDqeLzbm4Kye95+0t3GsxqUFEfx6COuxsa1vWUnD9n3KVdUVW34fkBOJaSozWD5rzRHbHhZAYm94/Q2SXIFLZI3+55e6y21kH18b/7OiO4vuEsMjl1C/OXdLUCbmd3PtoApz7cIWbrGEM1xo0+7m4KWa/zxmbJmKKelwcOvT5EazZKS1n2eC9sOZ2FeaM7GlUfcHNTiGPZ6AtouskY6NRFoVAYfX43hq+nB04vGC52QdOVba4aPwyAJLtNU9MAH1zLKa4xw6LGjBMjg0l13N30DpDt4e6GP03MjH5nTGfMWZMIoOpmk3pX64d6h+Ehta6s9bw8tLphqXt9ZHu8u/6sxWaF1GfrzDtRWlH765su+sYvMsfHD0aisKwCc/85JQnc1/eug9MLhus9Zh6Nao5fDqZIxk4zNcgAVP2Wt868E4IgGN1bwFwD2zaWdHGeObQtXoxpo/Mcck9kKMorlTpvOuvzzpjOeHBJnGSW6dZB9fHBA12tdlPE36eOmO3tCBY9FIkJfVvomQRD//HQtVmAmFlu6euds2GwiByOr6c7isoqLToN95AOQXgxpq3YHzuwnpfR3VAsoY67m6xR7dpMI2kPFAoFXh3eHrNi26GkXCl2/6rr5YH4OTHwcHdD5FubxeWf07jL8+qIdugV3gD9WtUu8FZbTw9ujfc3ntVqtBvi4+mOs28PFzPnjPXsXa3xYK9mRg3YOjoyFP8eT9Mab0OhUOD/9Aw+rEmzjWBqho6mwHpe+FRPcFXF08PNKoFPUykUCqOCQPq6R+habvX/RSOwnukzVwJVd3Z13d2dfEcEJt/uyuKmAJSC/i489mTHy4Ow92K2ZOBY9a4qtjC+T3MIAKIitM8x30zohdhPd2PKgAjtN1rZtDurgu5jezRDm+B6kq7CctM125Kl3NU+2OQsE30NCdX4JpbIqLK12t5IU/nxiT74ePM5PFtDYNq0zknWo37u/EhtcGFdaooRTh3YCpPviJAt8KlSx91N9s8wl/r1fmzPZlAqBbRoVFfrhpyh42/e6E64u2soeuiZ2UyXu7s2wbmMfK36clWQyDrBXa3xk/QFm90Uertw6dM2uD6OvTlUK3P7IRPX4wxaNPLF3os1L+fl4W7wpvo3E3pi8vLDePc+w93pST8Gi8jh7HxlEBKv5WJQW8tN7a1QKPB8jOFKENmeauwrdapBHD96MBL7LmbjuSFtEK6RceTl4a6VWmwL0+5sicHtG6O1iRlr5lT4FQqF0TP7fP5wN3wwtqvWd2ttsZ1C8N2eJKukXVvLgLZVldomNYydVJOauiLU1j/P9MeHm89hthHTXdtaRGBdu5u1xMPdTTKzk7p2IfVx4X8j7KLh90psOwzvHIJOoX4QBKBSKZjUFdwVbH7hTmTll9TYNcKVtA6qJ+myo491c7Esq0fzABxNycHorjXfzLGH37I9cXNT4E4Tp5v39HBDtIk38HSNX+hszBkXzhHVFFieNbw9lIKgNYadqQa3D7Kb66+jYrCIHE5QfW/c1d523Q3IPj3Qs5lFs83koFAo9A5UaUu6gnC20Cu8Iba8ONCorBxH0cTfB0ffHIq6Xrb/fg3p0swfK57QPXA61Z69VFTd3RSSrqTGjG3kanw83RkoMtOyx3vj/36Ox1v3dNL5ur5p7uXWv01j+NQxPCbT79P6obCsQmvgXtL2cmw7TFlxxCLjo5rKmQNFVM3fp47B7timsJfrr6NisIiIiMymGmQ6RsdMZ+bQNRW4ozM0RTYRkbOIatkIx94cancN+npeHjg+bxjquOsvl7ubgoEiIw3tGIyjbw51iG7LZJ/6tWqEfxLSeAw5AAaLiIjIbDtfHowbhaVo1sD6AxwTEZF9MRQosuUMY/Y4vp0j400Qqo23x3RGu5D6RnX7JNtSCDVOXeB88vLy4O/vj9zcXPj52V+XECIiIiIiZ5CVX4K84gqHn2yDiMiRWCLmwcwiIiIiIiKSRVB9b3B2aiIixyNbTubNmzfx6KOPws/PDwEBAXjyySdRUFBgcPlnn30W7dq1g4+PD5o3b47nnnsOubm5kuUUCoXWY+XKlXJtBhERERERERGRS5Ets+jRRx9Feno6tmzZgvLyckyePBlTp07Fr7/+qnP5tLQ0pKWl4aOPPkLHjh1x5coVTJs2DWlpafjjjz8ky/7www8YPny4+HdAQIBcm0FERERERERE5FJkGbPozJkz6NixIw4fPoxevXoBADZu3IiRI0fi6tWrCA01bjCr33//HY899hgKCwvh4VEV11IoFPj7778xZswYs8vHMYuIiIiIiIiIyBlZIuYhSze0uLg4BAQEiIEiAIiJiYGbmxsOHjxo9HpUG6YKFKk888wzCAwMRJ8+fbBs2TK44BjdRERERERERESykKUbWkZGBoKCgqQf5OGBhg0bIiMjw6h1ZGdn4+2338bUqVMlzy9YsAB33XUXfH19sXnzZjz99NMoKCjAc889p3ddpaWlKC0tFf/Oy8szYWuIiIiIiIiIiFyHScGi1157De+//77BZc6cOVOrAgFVwZxRo0ahY8eOmD9/vuS1N998U/x/9+7dUVhYiA8//NBgsGjhwoV46623al0uIiIiIiIiIiJnZ9KYRdevX8eNGzcMLtOyZUv8/PPPeOmll3Dr1i3x+YqKCnh7e+P333/Hfffdp/f9+fn5iI2Nha+vL/777z94e3sb/Lx169bh7rvvRklJCby8vHQuoyuzKCwsjGMWEREREREREZFTscSYRSZlFjVu3BiNGzeucbno6Gjk5OQgPj4ePXv2BABs374dSqUSUVFRet+Xl5eH2NhYeHl5Ye3atTUGigAgISEBDRo00BsoAgAvLy+DrxMRERERERERURVZxizq0KEDhg8fjilTpmDJkiUoLy/HjBkz8PDDD4szoV27dg1DhgzBihUr0KdPH+Tl5WHYsGEoKirCzz//jLy8PHFsocaNG8Pd3R3//vsvMjMz0bdvX3h7e2PLli1499138fLLL8uxGURERERERERELkeWYBEA/PLLL5gxYwaGDBkCNzc3jB07Fp9//rn4enl5Oc6dO4eioiIAwNGjR8WZ0lq3bi1ZV1JSEsLDw1GnTh0sXrwYL774IgRBQOvWrbFo0SJMmTJFrs0gIiIiIiIiInIpJo1Z5Cxyc3MREBCA1NRUjllERERERERERE5DNU5zTk4O/P39zVqHbJlF9iw/Px8AEBYWZuOSEBERERERERFZXn5+vtnBIpfMLFIqlUhLS0P9+vWhUChsXRyTqCKEzIpyTdz/ro37n3gMuDbuf+Ix4Nq4/4nHgGszZf8LgoD8/HyEhobCzc3NrM9zycwiNzc3NGvWzNbFqBU/Pz+eIFwY979r4/4nHgOujfufeAy4Nu5/4jHg2ozd/+ZmFKmYF2IiIiIiIiIiIiKnxGARERERERERERGJGCxyMF5eXpg3bx68vLxsXRSyAe5/18b9TzwGXBv3P/EYcG3c/8RjwLVZe/+75ADXRERERERERESkGzOLiIiIiIiIiIhIxGARERERERERERGJGCwiIiIiIiIiIiIRg0VERERERERERCRisMiBLF68GOHh4fD29kZUVBQOHTpk6yKRBcyfPx8KhULyaN++vfh6SUkJnnnmGTRq1Aj16tXD2LFjkZmZKVlHSkoKRo0aBV9fXwQFBeGVV15BRUWFtTeFjLB7926MHj0aoaGhUCgUWLNmjeR1QRAwd+5cNGnSBD4+PoiJicGFCxcky9y8eROPPvoo/Pz8EBAQgCeffBIFBQWSZU6cOIEBAwbA29sbYWFh+OCDD+TeNDJSTcfA448/rnVOGD58uGQZHgOOa+HChejduzfq16+PoKAgjBkzBufOnZMsY6nz/s6dO9GjRw94eXmhdevWWL58udybRzUwZv8PGjRI6xwwbdo0yTLc/47r66+/RteuXeHn5wc/Pz9ER0djw4YN4uv8/Tu3mvY/f/+u5b333oNCocALL7wgPmdX5wCBHMLKlSsFT09PYdmyZcKpU6eEKVOmCAEBAUJmZqati0a1NG/ePKFTp05Cenq6+Lh+/br4+rRp04SwsDBh27ZtwpEjR4S+ffsK/fr1E1+vqKgQOnfuLMTExAjHjh0T1q9fLwQGBgqzZ8+2xeZQDdavXy+88cYbwl9//SUAEP7++2/J6++9957g7+8vrFmzRjh+/Lhwzz33CBEREUJxcbG4zPDhw4XIyEjhwIEDwp49e4TWrVsL48ePF1/Pzc0VgoODhUcffVRITEwUfvvtN8HHx0f45ptvrLWZZEBNx8CkSZOE4cOHS84JN2/elCzDY8BxxcbGCj/88IOQmJgoJCQkCCNHjhSaN28uFBQUiMtY4rx/+fJlwdfXV5g5c6Zw+vRp4YsvvhDc3d2FjRs3WnV7ScqY/X/nnXcKU6ZMkZwDcnNzxde5/x3b2rVrhXXr1gnnz58Xzp07J7z++utCnTp1hMTEREEQ+Pt3djXtf/7+XcehQ4eE8PBwoWvXrsLzzz8vPm9P5wAGixxEnz59hGeeeUb8u7KyUggNDRUWLlxow1KRJcybN0+IjIzU+VpOTo5Qp04d4ffffxefO3PmjABAiIuLEwShquHp5uYmZGRkiMt8/fXXgp+fn1BaWipr2al2NAMFSqVSCAkJET788EPxuZycHMHLy0v47bffBEEQhNOnTwsAhMOHD4vLbNiwQVAoFMK1a9cEQRCEr776SmjQoIFk/7/66qtCu3btZN4iMpW+YNG9996r9z08BpxLVlaWAEDYtWuXIAiWO+/PmjVL6NSpk+Szxo0bJ8TGxsq9SWQCzf0vCFWNRfWGgybuf+fToEED4fvvv+fv30Wp9r8g8PfvKvLz84U2bdoIW7ZskexzezsHsBuaAygrK0N8fDxiYmLE59zc3BATE4O4uDgblows5cKFCwgNDUXLli3x6KOPIiUlBQAQHx+P8vJyyb5v3749mjdvLu77uLg4dOnSBcHBweIysbGxyMvLw6lTp6y7IVQrSUlJyMjIkOxvf39/REVFSfZ3QEAAevXqJS4TExMDNzc3HDx4UFxm4MCB8PT0FJeJjY3FuXPncOvWLSttDdXGzp07ERQUhHbt2mH69Om4ceOG+BqPAeeSm5sLAGjYsCEAy5334+LiJOtQLcN6g33R3P8qv/zyCwIDA9G5c2fMnj0bRUVF4mvc/86jsrISK1euRGFhIaKjo/n7dzGa+1+Fv3/n98wzz2DUqFFa+8nezgEeJi1NNpGdnY3KykrJAQEAwcHBOHv2rI1KRZYSFRWF5cuXo127dkhPT8dbb72FAQMGIDExERkZGfD09ERAQIDkPcHBwcjIyAAAZGRk6Dw2VK+R41DtL137U31/BwUFSV738PBAw4YNJctERERorUP1WoMGDWQpP1nG8OHDcf/99yMiIgKXLl3C66+/jhEjRiAuLg7u7u48BpyIUqnECy+8gDvuuAOdO3cGAIud9/Utk5eXh+LiYvj4+MixSWQCXfsfAB555BG0aNECoaGhOHHiBF599VWcO3cOf/31FwDuf2dw8uRJREdHo6SkBPXq1cPff/+Njh07IiEhgb9/F6Bv/wP8/buClStX4ujRozh8+LDWa/ZWB2CwiMjGRowYIf6/a9euiIqKQosWLbB69WqezIlc0MMPPyz+v0uXLujatStatWqFnTt3YsiQITYsGVnaM888g8TEROzdu9fWRSEb0Lf/p06dKv6/S5cuaNKkCYYMGYJLly6hVatW1i4myaBdu3ZISEhAbm4u/vjjD0yaNAm7du2ydbHISvTt/44dO/L37+RSU1Px/PPPY8uWLfD29rZ1cWrEbmgOIDAwEO7u7lqjoGdmZiIkJMRGpSK5BAQEoG3btrh48SJCQkJQVlaGnJwcyTLq+z4kJETnsaF6jRyHan8Z+q2HhIQgKytL8npFRQVu3rzJY8JJtWzZEoGBgbh48SIAHgPOYsaMGfjvv/+wY8cONGvWTHzeUud9fcv4+fnxRoQd0Lf/dYmKigIAyTmA+9+xeXp6onXr1ujZsycWLlyIyMhIfPbZZ/z9uwh9+18X/v6dS3x8PLKystCjRw94eHjAw8MDu3btwueffw4PDw8EBwfb1TmAwSIH4OnpiZ49e2Lbtm3ic0qlEtu2bZP0byXnUFBQgEuXLqFJkybo2bMn6tSpI9n3586dQ0pKirjvo6OjcfLkSUnjccuWLfDz8xNTWskxREREICQkRLK/8/LycPDgQcn+zsnJQXx8vLjM9u3boVQqxQpFdHQ0du/ejfLycnGZLVu2oF27dux+5ICuXr2KGzduoEmTJgB4DDg6QRAwY8YM/P3339i+fbtWd0FLnfejo6Ml61Atw3qDbdW0/3VJSEgAAMk5gPvfuSiVSpSWlvL376JU+18X/v6dy5AhQ3Dy5EkkJCSIj169euHRRx8V/29X5wDTx+4mW1i5cqXg5eUlLF++XDh9+rQwdepUISAgQDIKOjmml156Sdi5c6eQlJQk7Nu3T4iJiRECAwOFrKwsQRCqpk9s3ry5sH37duHIkSNCdHS0EB0dLb5fNX3isGHDhISEBGHjxo1C48aNJdMnkv3Iz88Xjh07Jhw7dkwAICxatEg4duyYcOXKFUEQBOG9994TAgIChH/++Uc4ceKEcO+99woRERFCcXGxuI7hw4cL3bt3Fw4ePCjs3btXaNOmjWTa9JycHCE4OFiYMGGCkJiYKKxcuVLw9fXltOl2wtAxkJ+fL7z88stCXFyckJSUJGzdulXo0aOH0KZNG6GkpERcB48BxzV9+nTB399f2Llzp2Rq5KKiInEZS5z3VdPmvvLKK8KZM2eExYsXc+pkO1DT/r948aKwYMEC4ciRI0JSUpLwzz//CC1bthQGDhworoP737G99tprwq5du4SkpCThxIkTwmuvvSYoFAph8+bNgiDw9+/sDO1//v5dk+YMePZ0DmCwyIF88cUXQvPmzQVPT0+hT58+woEDB2xdJLKAcePGCU2aNBE8PT2Fpk2bCuPGjRMuXrwovl5cXCw8/fTTQoMGDQRfX1/hvvvuE9LT0yXrSE5OFkaMGCH4+PgIgYGBwksvvSSUl5dbe1PICDt27BAAaD0mTZokCIIgKJVK4c033xSCg4MFLy8vYciQIcK5c+ck67hx44Ywfvx4oV69eoKfn58wefJkIT8/X7LM8ePHhf79+wteXl5C06ZNhffee89am0g1MHQMFBUVCcOGDRMaN24s1KlTR2jRooUwZcoUrRsDPAYcl659D0D44YcfxGUsdd7fsWOH0K1bN8HT01No2bKl5DPINmra/ykpKcLAgQOFhg0bCl5eXkLr1q2FV155RcjNzZWsh/vfcT3xxBNCixYtBE9PT6Fx48bCkCFDxECRIPD37+wM7X/+/l2TZrDIns4BCkEQBNNykYiIiIiIiIiIyFlxzCIiIiIiIiIiIhIxWERERERERERERCIGi4iIiIiIiIiISMRgERERERERERERiRgsIiIiIiIiIiIiEYNFREREREREREQkYrCIiIiIiIiIiIhEDBYREREREREREZGIwSIiIiIiIiIiIhIxWERERERERERERCIGi4iIiIiIiIiISMRgERERERER/f9GwSgYBaNgFIwCOAAAbnMya3CbkVcAAAAASUVORK5CYII=\n", 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" ] }, "metadata": {}, @@ -756,10 +1136,19 @@ }, { "cell_type": "markdown", + "id": "b2e12495", "metadata": { + "papermill": { + "duration": 0.011857, + "end_time": "2022-12-13T23:23:11.731723", + "exception": false, + "start_time": "2022-12-13T23:23:11.719866", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## ROI Masks\n", @@ -768,18 +1157,40 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, + "id": "2fcb8a99", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:23:11.757753Z", + "iopub.status.busy": "2022-12-13T23:23:11.756927Z", + "iopub.status.idle": "2022-12-13T23:23:25.688994Z", + "shell.execute_reply": "2022-12-13T23:23:25.688270Z" + }, + "papermill": { + "duration": 13.948747, + "end_time": "2022-12-13T23:23:25.692174", + "exception": false, + "start_time": "2022-12-13T23:23:11.743427", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-12-13 23:23:11,945 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/516381662\n" + ] + }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -822,10 +1233,19 @@ }, { "cell_type": "markdown", + "id": "4099cab0", "metadata": { + "papermill": { + "duration": 0.013313, + "end_time": "2022-12-13T23:23:25.719729", + "exception": false, + "start_time": "2022-12-13T23:23:25.706416", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## ROI Analysis\n", @@ -834,22 +1254,33 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, + "id": "29b6778d", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:23:25.748580Z", + "iopub.status.busy": "2022-12-13T23:23:25.747535Z", + "iopub.status.idle": "2022-12-13T23:25:05.989396Z", + "shell.execute_reply": "2022-12-13T23:25:05.988752Z" + }, + "papermill": { + "duration": 100.271193, + "end_time": "2022-12-13T23:25:06.004108", + "exception": false, + "start_time": "2022-12-13T23:23:25.732915", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/local1/anaconda3/envs/py2/lib/python2.7/site-packages/pandas/core/indexing.py:194: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame\n", - "\n", - "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", - " self._setitem_with_indexer(indexer, value)\n" + "2022-12-13 23:23:25,922 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/517023824\n" ] }, { @@ -872,18 +1303,33 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, + "id": "dfa32c09", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:25:06.032094Z", + "iopub.status.busy": "2022-12-13T23:25:06.031442Z", + "iopub.status.idle": "2022-12-13T23:25:06.297826Z", + "shell.execute_reply": "2022-12-13T23:25:06.296952Z" + }, + "papermill": { + "duration": 0.282753, + "end_time": "2022-12-13T23:25:06.299996", + "exception": false, + "start_time": "2022-12-13T23:25:06.017243", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -947,10 +1393,19 @@ }, { "cell_type": "markdown", + "id": "458fdd83", "metadata": { + "papermill": { + "duration": 0.013332, + "end_time": "2022-12-13T23:25:06.328083", + "exception": false, + "start_time": "2022-12-13T23:25:06.314751", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Neuropil Correction\n", @@ -959,13 +1414,35 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, + "id": "104ad37d", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:25:06.356188Z", + "iopub.status.busy": "2022-12-13T23:25:06.355684Z", + "iopub.status.idle": "2022-12-13T23:25:29.580543Z", + "shell.execute_reply": "2022-12-13T23:25:29.579716Z" + }, + "papermill": { + "duration": 23.241407, + "end_time": "2022-12-13T23:25:29.582568", + "exception": false, + "start_time": "2022-12-13T23:25:06.341161", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-12-13 23:25:06,506 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/569955226\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -992,10 +1469,19 @@ }, { "cell_type": "markdown", + "id": "5ca1332a", "metadata": { + "papermill": { + "duration": 0.013383, + "end_time": "2022-12-13T23:25:29.610041", + "exception": false, + "start_time": "2022-12-13T23:25:29.596658", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The NWB files contain the neuropil traces and `r` values needed to perform this correction, so you don't need to recompute them. The corrected trace can be computed on the fly when you use the `get_corrected_fluorescence_traces` method:" @@ -1003,18 +1489,33 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 24, + "id": "f8a45105", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:25:29.637968Z", + "iopub.status.busy": "2022-12-13T23:25:29.637429Z", + "iopub.status.idle": "2022-12-13T23:25:29.906155Z", + "shell.execute_reply": "2022-12-13T23:25:29.905379Z" + }, + "papermill": { + "duration": 0.285579, + "end_time": "2022-12-13T23:25:29.908679", + "exception": false, + "start_time": "2022-12-13T23:25:29.623100", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1032,10 +1533,19 @@ }, { "cell_type": "markdown", + "id": "186c5e29", "metadata": { + "papermill": { + "duration": 0.013967, + "end_time": "2022-12-13T23:25:29.938763", + "exception": false, + "start_time": "2022-12-13T23:25:29.924796", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Compute dF/F\n", @@ -1044,26 +1554,33 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, + "id": "0ffbd45a", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:25:29.968814Z", + "iopub.status.busy": "2022-12-13T23:25:29.967964Z", + "iopub.status.idle": "2022-12-13T23:25:30.713931Z", + "shell.execute_reply": "2022-12-13T23:25:30.713117Z" + }, + "papermill": { + "duration": 0.763077, + "end_time": "2022-12-13T23:25:30.715768", + "exception": false, + "start_time": "2022-12-13T23:25:29.952691", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/local1/git/allensdk/allensdk/brain_observatory/dff.py:419: FutureWarning: The default computation for dff has been changed. Use `calculate_dff` to compute dff now.\n", - " FutureWarning(\"The default computation for dff has been changed. Use\"\n" - ] - }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1082,10 +1599,19 @@ }, { "cell_type": "markdown", + "id": "6fa72a23", "metadata": { + "papermill": { + "duration": 0.014766, + "end_time": "2022-12-13T23:25:30.746502", + "exception": false, + "start_time": "2022-12-13T23:25:30.731736", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Running Speed\n", @@ -1094,25 +1620,42 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, + "id": "f401120b", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:25:30.778283Z", + "iopub.status.busy": "2022-12-13T23:25:30.777465Z", + "iopub.status.idle": "2022-12-13T23:26:08.497717Z", + "shell.execute_reply": "2022-12-13T23:26:08.497030Z" + }, + "papermill": { + "duration": 37.751356, + "end_time": "2022-12-13T23:26:08.512494", + "exception": false, + "start_time": "2022-12-13T23:25:30.761138", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "WARNING:allensdk.api.queries.brain_observatory_api:Downloading ophys_experiment 501940850 NWB. This can take some time.\n" + "WARNING:allensdk.api.queries.brain_observatory_api:Downloading ophys_experiment 501940850 NWB. This can take some time.\n", + "2022-12-13 23:25:30,938 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514340576\n", + "INFO:allensdk.api.api.retrieve_file_over_http:Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514340576\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1133,10 +1676,19 @@ }, { "cell_type": "markdown", + "id": "cf116154", "metadata": { + "papermill": { + "duration": 0.015218, + "end_time": "2022-12-13T23:26:08.543141", + "exception": false, + "start_time": "2022-12-13T23:26:08.527923", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Motion Correction\n", @@ -1145,18 +1697,33 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, + "id": "d1cbbe0d", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:26:08.575742Z", + "iopub.status.busy": "2022-12-13T23:26:08.574975Z", + "iopub.status.idle": "2022-12-13T23:26:08.994847Z", + "shell.execute_reply": "2022-12-13T23:26:08.994064Z" + }, + "papermill": { + "duration": 0.43827, + "end_time": "2022-12-13T23:26:08.996650", + "exception": false, + "start_time": "2022-12-13T23:26:08.558380", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -1180,10 +1747,19 @@ }, { "cell_type": "markdown", + "id": "1b6ee390", "metadata": { + "papermill": { + "duration": 0.016294, + "end_time": "2022-12-13T23:26:09.030129", + "exception": false, + "start_time": "2022-12-13T23:26:09.013835", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Eye Tracking\n", @@ -1192,11 +1768,26 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, + "id": "88c66084", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:26:09.064406Z", + "iopub.status.busy": "2022-12-13T23:26:09.063737Z", + "iopub.status.idle": "2022-12-13T23:26:09.901995Z", + "shell.execute_reply": "2022-12-13T23:26:09.901256Z" + }, + "papermill": { + "duration": 0.857674, + "end_time": "2022-12-13T23:26:09.903860", + "exception": false, + "start_time": "2022-12-13T23:26:09.046186", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -1208,9 +1799,9 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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8tWxOrpx3LNrBkLOGsGPRDmY8vm/17rantrFjyQ6WX72cpueaGHjSQF7+yMtpXtdM46ONLLhgAVUTq2he2dytPZ6KZhCQ1kRVjquk5fkWKodX0rKxhUGvHsTxvz+eskpXXJQqP0dh1s3KqsvoO6EvQ88dStu2NsZeMRaATfduot+0flQfWc2AYwcw4NgBDH/rcJpWNFHWN/kjWTWqivLTy6k9s5adS3dCGQw5f8ieq/Os5ylK2lb2xN6ytgWAlg0tUAnbn9pO28425s2cx8CXD2TaT6YVNVQ7cE71Znkq71tO9YRq+k3ux4QvTGDrnK1sX7KdlV9eyabfbdpnW0k01zXTOHfvOE8VAyuYfut0qidUM+3n09i5bCf9j+uPatUzk0S79thzegSrTAy/cDiL3r6ItuY2+k3v58mZejAnCrOXoLymnLJ+Zex4egfPXvksc0+Yy7SbpnHEB46gtbGVx171GEuvWEpzXTMNDzew+f7N++yvStF/Wn+qR1XT9GwT6iNiS8+v/gUg521Ec7D2x2vZdPcmhl0wjJYXWlhw/oLixWYHxVVPZi/B+E+M3/P65Y+9nNXfW83mP25myc+WcPx9x1P7D7Ws/+V6hp0/jPH/Ov5F+1cMrGDqj6aye8duhr5hKH3G9qF1UytNy5ugGjjMRg4vG1jG2I+OJXbEnq6z1vP4jsLsAA08cSBH33A0g08fzJgPjqGssoyJX5pIef9yVJn9pHdzXTPbF2xnwmcmMPwfh0M19DuqH6PeN4qKERVU1FZQ8+qaQ/ROCkBQe2Yt1eOqqb+jnoUXLqRyeGWxo7ID5F5PZkUWbcGu+l3QBo/+3aO0bm9lyBlDOPKzR1JWXcZzX3uOjb/cWOwwX5KqKVXMfHwmu7ftZufKnSx40wKO+tZRjLp4VLFDsxzu9WTWQ6hMVI2oInYHNSfXMOGLE6iZWcP8M+ezY9kOdq3aBZVAS7Ejzd+u53fxxFlP0PC3BvqM6kP1+Gq2/nmrE0UP5URhViJULo6757g9y6PfM5rGuY3UnFpDy+YW1vznGtpa2mhaWvoNGdEUNDzUwPEPHE95/3KqxlVRUes/Nz2V2yjMStTIi0dy5GePZMCJAxjzgTHMXDiTqpFVPep/7fIvLqdyeCWVgyspr85z6HUrOT3oV86s91nzvTUsuWTvZEdH33I0k741qYgRvTSNDzby6PGPsuqbq2jZ1IPqzmwfRUsUksZJekDSYkkLJV2Zlg+RdJ+kpem/Hr/Yeq3x14znuN/trY6qHldN7Sm19D2mb1LQHyjxcQbbGtp47tPP8dDQh1h749pih2MHoJh3FK3AxyPiaOAU4HJJxwBXAX+IiCnAH9Jls16prLLsRVOa7lyxk5oZNYy/ejyTvzYZAqqOrGLkB0YWKcr8PXvNs8Tunt/TsrcpWutSRKwF1qavGyUtBsYA5wOnp5vdCDwIfKoIIZqVpJEXjWTkRUlSaNvVRvPqZpqfb2bAtAG80OcF2JVuKDjyG0ey8uMrixfsfr21WutaWf3d1Yz72LiihWQvXUm0UUiaAJwIzAFGpkmkPZmM6GSfWZLmSpq7YcOGQxWqWUkp61PGUV87imNuPoYVn14Bu6BieAVjrhyDqsTGW/Y+f6FK0e/EQzu9ae0Z6Qx5FeyZwKn+N/U0r+uZw633VkXvryZpAHAH8JGIaJDym7s4Iq4DroPkgbvCRWjWM5yy4hSiJagcUcnu7bvZ/MfNlA8p54grjqCtuY36O+opq0qvDQ/Rcxlb7t+SvGgFymHUR0fRtrGN8v7uAdWTFDVRSKokSRI3R8Sv0uIXJI2OiLWSRgPrixehWc/RZ8TeVu3tz22ntb6VyV+fzMILF9JnZB+O+cUxVI+vpmlVE6Fg2WeWsXP2zsIGtXvf1+u+vQ6AnSt3Ul5dzuRvTmbA9AGFjcEOWjF7PQn4KbA4Ir6Vs+ou4JL09SXAnYc6NrNSt+raVSy+ZPGLytffvp7Zk2Yz8ISBvLLulQz6+0FM+eEUxn5sLIPPHEy/qf0Y8tohrL9pPQMmpX+gsy7ua4CB3R9/458a2XLvFua9ch5Nz5f+A4S9XZdjPUkaAZwGHAHsBBYAcyPioAaXl/Qq4C/AU0D7sa4haae4DRgPrAIujIhNHR4k5bGerLdpfLyRlvUtDDlryD7lu+p30fhII0PPGZq5f3vPI5UnVb31v69n8UWL2b19957G8IqhFbRuamX0rNGs/cnafe8Oukn5iHJOfeZUKgYVvRa8VzrosZ4kvYaka+oQ4HGSKqBq4ALgKEm3A9+MiIYDCTAi/gp01iBx5oEc06y3GHhix5f5fYb16TJJwN4E0W7QzEFM+NwExl4xlpYNLTStaqLvtL5sn7+dXfW7aNnUQv0d9Xsv6bqB+orKgZVOEj1A1jd0DvD+iFi1/wpJFcC5wOtI2hjMrAerrK1k3EeSLqt9Rvahz8ikvWP7ou0svWwpA08e+NKShKDvcX3ZuWDni+5Exn9uPNvmbaNqbBVTfzC1m96BFVKniSIi/jVjXSvwm4JEZGYlY/S7R9Nvaj8Gv2YwDXMb6DulL1sf2krjw42Meu8oHp3+KCP+aQRtzW1sumcTE786kWUfWUb1uGpOfuRkyvqU0dLYwkODH6J8aDnaJSZ9cRJbZ29l1/pdL7qzsdLU5T2fpI91ULwVmBcR87s/JDPrbo3zG6kaXbXnTiFfZX3KGPyaZBSdmhnJRErDzhnGsHOGsW3BNiZ/azKj3pMMHd60sony/uW0rGth5LtGUtYn6SvTsq6FEx44gZpX1NC0Imm4bl7dzNLLlzL8vOHd9RatgPLp9TQDuIzkqekxwCySJ6evl/TJwoVmZt1l6QeXsvaG7h1naflVy9m5bCdllWWUVZbRb3I/qkZXMeHzE+g7se+e7TbcvoFV166irE8Z/V6WPPA35KwhTP+f6d0ajxVOPr2e7gXeEhHb0uUBwO3Am0nuKo4peJRdcK8ns2xtzW2oj8j3gda8jtnShsqFylx91FN15wx349k7egwkz3MeGRE7Jfk5fLMeYM8T2d15zMqSGAHIDoF8EsUtwGxJ7Q++vQn4haT+wKKCRWZmZiWhy0QREV+SdDfwKpLnHi6LiPZ6nosLGZyZmRVfvveOfYGGiPgOsFLSxALGZNbr1V1fx5L3LOl6wy60bmvthmist+syUUj6PMl8EFenRZXAzwsZlFlvN+CEAQx+/cFN7tjW2sZfB/6VFV9Y0U1RWW+VTxvFm0nmingMICLqJBVgmDAza1dzcg01J9cc1DHKKsqY9I1JjHrnqG6KynqrfKqedkXShzYA0kZsM+sBxn98/D7Dj3dmx7IdPPOhZ4g2T+1iL5ZPorhN0n8BtZLeD9wPXF/YsMzsUIrmoKW+Jb0cNNtXPr2eviHpdUAD8DLgcxFxX8EjM7NDpv/0/ky/1U9KW8fyGt83TQxODmY9WMuWFioGVnggPnvJOq16ktQoqaGzn0MZpJnlJ6uN4fHTHmf191YfwmjscJE1zPhAAEn/BqwDbiJ54O5iCjI5opkdjDU/XkPdj+s4ef7JHa6ffsd0qo6oOsRR2eEgn6qnsyLiFTnLP5I0B/iPAsVkZgdg2AXD6D+9806J/ae5w6IdmHx6Pe2WdLGkckllki6mILPnmtnBqBpVRe3f1wJQ91917HhmR5EjssNFPonin4G3AS+kPxemZWZWoup/U+9EYd0mn+6xzwHnFz4UM+sux91zXLFDsMNIVq+nz0gakrH+DEnnFiYsMzMrFVl3FE8B/yupiWScpw1ANTAFOIHkCe1/L3iEZmZWVFndY+8E7pQ0BTgNGE3ydPbPgVkRsfPQhGhmZsWUTxvFUmDpIYjFzMxKkCe9NTOzTE4UZmaWqWQThaSzJT0taZmkq4odj5lZb5XPVKhTJf1B0oJ0+ThJnylkUJLKgR8AbwCOAd4u6ZhCntPMzDqWzx3F9STzZbcARMSTwEWFDAqYCSyLiOURsQu4FT/0Z2ZWFPkkin4R8ch+Za2FCCbHGOD5nOXVadkekmZJmitp7oYNGwocjplZ75VPoqiXdBR758x+K7C2oFElw5nvb5+B9iPiuoiYEREzhg8fXuBwzMx6r3yGGb8cuA6YJmkNsAJ4R0GjSu4gxuUsjwXqCnxOMzPrQD4P3C0HXiupP1AWEY2FD4tHgSmSJgJrSNpEPGKtmVkRdJooJH2sk3IAIuJbBYqJiGiV9CHgXqAcuCEiFhbqfGZm1rmsO4r26U5fBpwM3JUuvwn4cyGDAoiIu4G7C30eMzPLljUo4BcBJP0eOKm9yknSF4D/OSTRmZlZ0eXT62k8sCtneRcwoSDRmJlZycmn19NNwCOSfk3SRfXNwM8KGpWZmZWMfHo9fUXSPcDfp0XvjojHCxuWmZmVii4ThaTxQD3w69yyiFhVyMDMzKw05FP19H/sfSq6LzAReBqYXqigzMysdORT9XRs7rKkk4APFCwiMzMrKS95PoqIeIzkuQozM+sF8mmjyH1Cuww4CfBwrWZmvUQ+bRQDc163krRZ3FGYcMzMrNTkkygWRcQ+T2JLuhA/nW1m1ivk00ZxdZ5lZmZ2GMoaPfYNwDnAGEn/mbOqhsLPcGdmZiUiq+qpDpgLnAfMyylvBD5ayKDMzKx0ZI0e+wTwhKSbI8J3EGZmvVRW1dNtEfE24HFJsf/6iDiuoJGZmVlJyKp6ujL999xDEYiZmZWmTns9RcTa9OW/RMTK3B/gXw5NeGZmVmz5dI99XQdlb+juQMzMrDRltVF8kOTOYZKkJ3NWDQQeKnRgZmZWGrLaKG4B7gG+ClyVU94YEZsKGpWZmZWMrERRDjQAl++/QtIQJwszs94hK1HMY++ERdpvXQCTChKRmZmVlKwH7iYeykDMzKw05TN6LJIGA1OA6vayiPhzoYIyM7PSkc/ERe8jefhuLDAfOAV4GDijsKGZmVkpyOc5iitJpj5dGRGvAU7EM9yZmfUa+SSKpohoApBUFRFLgJcdzEklfV3SEklPSvq1pNqcdVdLWibpaUlnHcx5zMzs4OWTKFanf8h/A9wn6U6SIcgPxn3A36UDCz5DOhGSpGOAi4DpwNnADyWVH+S5zMzsIHTZRhERb05ffkHSA8Ag4HcHc9KI+H3O4mzgrenr84FbI6IZWCFpGTCTpE3EzMyKIK9eT+0i4k8FiOE9wC/T12NIEke71WnZi0iaBcwCGD9+fAHCMjMzeImJ4qWQdD8wqoNVn46IO9NtPk0yrerN7bt1sP2L5sIAiIjrgOsAZsyY0eE2ZmZ28AqWKCLitVnrJV1CMtfFmRHR/od+NTAuZ7OxHHx7iJmZHYR8GrO7naSzgU8B50XEjpxVdwEXSaqSNJHkIb9HihGjmZklCnZH0YXvA1UkvagAZkfEZRGxUNJtwCKSKqnLI2J3kWI0MzOKlCgiYnLGuq8AXzmE4ZiZWYaiVD2ZmVnP4URhZmaZnCjMzCyTE4WZmWVyojAzs0xOFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCyTE4WZmWVyojAzs0xOFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCyTE4WZmWVyojAzs0xOFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCxTUROFpE9ICknD0mVJ+k9JyyQ9KemkYsZnZmZFTBSSxgGvA1blFL8BmJL+zAJ+VITQzMwsRzHvKL4NfBKInLLzgZ9FYjZQK2l0UaIzMzOgSIlC0nnAmoh4Yr9VY4Dnc5ZXp2VmZlYkFYU6sKT7gVEdrPo0cA3w+o5266AsOihD0iyS6inGjx9/gFGamVlXCpYoIuK1HZVLOhaYCDwhCWAs8JikmSR3EONyNh8L1HVy/OuA6wBmzJjRYTIxM7ODd8irniLiqYgYERETImICSXI4KSLWAXcB70p7P50CbI2ItYc6RjMz26tgdxQH6G7gHGAZsAN4d3HDMTOzoieK9K6i/XUAlxcvGjMz25+fzDYzs0xOFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCyTE4WZmWVyojAzs0xOFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCyTE4WZmWVyojAzs0xqMiM1AAAIg0lEQVROFGZmlsmJwszMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCyTE4WZmWVyojAzs0xOFGZmlsmJwszMMjlRmJlZpqIlCkkflvS0pIWS/iOn/GpJy9J1ZxUrPjMzS1QU46SSXgOcDxwXEc2SRqTlxwAXAdOBI4D7JU2NiN3FiNPMzIp3R/FB4GsR0QwQEevT8vOBWyOiOSJWAMuAmUWK0czMKNIdBTAV+HtJXwGagE9ExKPAGGB2znar07IXkTQLmJUubpP0dAHjHQbUF/D4heb4i6snx9+TYwfH35Uj89moYIlC0v3AqA5WfTo972DgFOBk4DZJkwB1sH10dPyIuA64rnuizSZpbkTMOBTnKgTHX1w9Of6eHDs4/u5SsEQREa/tbJ2kDwK/iogAHpHURpI5VwPjcjYdC9QVKkYzM+tasdoofgOcASBpKtCH5PbqLuAiSVWSJgJTgEeKFKOZmVG8NoobgBskLQB2AZekdxcLJd0GLAJagctLpMfTIaniKiDHX1w9Of6eHDs4/m6h5O+zmZlZx/xktpmZZXKiMDOzTE4UXTgchhqR9AlJIWlYuixJ/5nG/6Skk4od4/4kfV3SkjS+X0uqzVnXIz57SWenMS6TdFWx4+mKpHGSHpC0OP19vzItHyLpPklL038HFzvWzkgql/S4pN+myxMlzUlj/6WkPsWOMYukWkm3p7/7iyWdWgqfvxNFhv2GGpkOfCMtzx1q5Gzgh5LKixZoBknjgNcBq3KK30DSo2wKyUOLPypCaF25D/i7iDgOeAa4GnrOZ5/G9AOSz/oY4O1p7KWsFfh4RBxN8ozT5WnMVwF/iIgpwB/S5VJ1JbA4Z/la4Ntp7JuB9xYlqvx9F/hdREwDjid5L0X//J0osh0OQ418G/gk+z64eD7ws0jMBmoljS5KdJ2IiN9HRGu6OJvkmRroOZ/9TGBZRCyPiF3ArSSxl6yIWBsRj6WvG0n+SI0hifvGdLMbgQuKE2E2SWOBNwI/SZdF0g3/9nSTko0dQFIN8GrgpwARsSsitlACn78TRbb2oUbmSPqTpJPT8jHA8znbdTrUSDFJOg9YExFP7LeqR8Sf4z3APenrnhJ7T4mzQ5ImACcCc4CREbEWkmQCjCheZJm+Q3JR1JYuDwW25FxwlPp3MAnYAPx3Wn32E0n9KYHPv1jPUZSMQg81UmhdxH8N8PqOduug7JDHnxV7RNyZbvNpkiqRm9t362D7Uuzj3VPifBFJA4A7gI9ERENyYV7aJJ0LrI+IeZJOby/uYNNS/g4qgJOAD0fEHEnfpUSq+Xp9oujpQ410Fr+kY4GJwBPpf/SxwGOSZlIi8Wd99gCSLgHOBc6MvQ/8lETseegpce5DUiVJkrg5In6VFr8gaXRErE2rKNd3foSiOQ04T9I5QDVQQ3KHUSupIr2rKPXvYDWwOiLmpMu3kySKon/+rnrK1mOHGomIpyJiRERMiIgJJL+EJ0XEOpL435X2fjoF2Np+a1sqJJ0NfAo4LyJ25Kwq+c8+9SgwJe1104ekAf6uIseUKa3T/ymwOCK+lbPqLuCS9PUlwJ2HOrauRMTVETE2/V2/CPhjRFwMPAC8Nd2sJGNvl/7ffF7Sy9KiM0lGqSj659/r7yi60NOGGsnX3cA5JA3BO4B3FzecDn0fqALuS++IZkfEZRHRIz77iGiV9CHgXqAcuCEiFhY5rK6cBrwTeErS/LTsGuBrJNWu7yXpPXdhkeI7EJ8CbpX0ZeBx0obiEvZh4Ob04mI5yf/NMor8+XsIDzMzy+SqJzMzy+REYWZmmZwozMwskxOFmZllcqIwM7NMThRmQDpcQrcM2ifpmpzXE9Lu1fns9xFJ7+qgPO9jdHLcWyVNOdD9zZwozICIeF9ELOqmw13T9Sb7klRBMqbVLd0UQ64fkYyBZHZAnCjssCXpN5LmpXMrzErLzpM0P/15WtKKtPxBSTPS19skXZvue7+kmen65elAi0i6VNL3c871W0mnS/oa0Dc9fvv4VOWSrk/j+L2kvh2EewbwWPsAdpJeLukJSQ8Dl+ecp1zJXB2PKpmr4wNpeZmkH6bn+K2kuyW1P5H8F+C1aTIye8mcKOxw9p6IeDkwA7hC0tCIuCsiToiIE4AnSOcY2U9/4MF030bgyyRzerwZ+LesE0bEVcDO9BwXp8VTgB+kc5psAd7Swa6nAfNylv8buCIiTt1vu/eSDLlyMslAle9PhzL5R2ACcCzwPmDPfhHRRvIU/vFZsZt1xonCDmdXSHqCZD6LcSR/sAGQ9EmSP+g/6GC/XcDv0tdPAX+KiJb09YQDiGNFRLQPiTGvk2OMJhliGkmDgNqI+FO67qac7V5PMk7XfJIhwIeSvK9XAf8TEW3pmEEP7Hf89cARBxC7mcd6ssNTOtT0a4FTI2KHpAdJRhVF0pkk4+W8upPdW3JGq20D2ieuasupvmll3wut6oxwmnNe7wY6qnramXMM0flw2CIZhvrefQqlN2acvz2+nV1sY9Yh31HY4WoQsDlNEtNI5hRB0pHAD4G3RcTB/OF8DjghbRsYx76z7LWkw3W/FIuByQDprGZbJb0qXXdxznb3Ah9sP76kqenkNn8F3pLGMxI4fb/jTwVKfVBCK1G+o7DD1e+AyyQ9CTxNUv0EcClJdc2v01Fp6yLinAM4/kPACpLqqAXAYznrrgOelPQYyQRS+biHfauY3k0ycvEOkuTQ7ickVVePpcOCbyCZGvMOkmGpF5DMMT4H2AqQJo6dpTaUvPUcHj3WrERI+jXwyYhYeoD7D4iIbZKGkszRcVpErJP0UaAhIkp9iG0rUb6jMCsdV5E0ah9QogB+K6mWZIKtL6WN2pD0tLqp893MsvmOwszMMrkx28zMMjlRmJlZJicKMzPL5ERhZmaZnCjMzCzT/wefMI1FZgcSYgAAAABJRU5ErkJggg==\n", + "image/png": 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"output_path": "/tmp/tmprl86m55t/scratch_nb.ipynb", + "output_path": "/tmp/tmpsouwwjq1/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmprl86m55t", + "output_dir": "/tmp/tmpsouwwjq1", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:19:35.360168", + "start_time": "2022-12-13T23:15:19.786368", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/download_data_via_api.ipynb b/doc_template/examples_root/examples/nb/download_data_via_api.ipynb index 6397b89b7..790a0545c 100644 --- a/doc_template/examples_root/examples/nb/download_data_via_api.ipynb +++ b/doc_template/examples_root/examples/nb/download_data_via_api.ipynb @@ -5,10 +5,10 @@ "id": "f1665fa9", "metadata": { "papermill": { - "duration": 0.007491, - "end_time": "2022-12-09T21:18:28.678833", + "duration": 0.00638, + "end_time": "2022-12-13T21:51:49.337308", "exception": false, - "start_time": "2022-12-09T21:18:28.671342", + "start_time": "2022-12-13T21:51:49.330928", "status": "completed" }, "tags": [] @@ -23,16 +23,16 @@ "id": "c000a3a1", "metadata": { "execution": { - 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"2022-12-09 21:18:32,080 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_energy&resolution=100\n", - "2022-12-09 21:18:32,354 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_fraction&resolution=100\n", - "2022-12-09 21:18:32,410 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_density&resolution=100\n", - "2022-12-09 21:18:32,798 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_energy&resolution=100\n" + "2022-12-13 21:51:52,105 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_density&resolution=100\n", + "2022-12-13 21:51:53,212 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_energy&resolution=100\n", + "2022-12-13 21:51:54,435 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_fraction&resolution=100\n", + "2022-12-13 21:51:54,806 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_density&resolution=100\n", + "2022-12-13 21:51:55,051 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_energy&resolution=100\n" ] } ], @@ -444,10 +444,10 @@ "id": "96e57a7b", "metadata": { "papermill": { - 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"/tmp/ipykernel_1979/1972217619.py:1: VisibleDeprecationWarning: Function download_expression_grid_data is deprecated. Use download_gene_expression_grid_data instead\n", + "/tmp/ipykernel_2076/1972217619.py:1: VisibleDeprecationWarning: Function download_expression_grid_data is deprecated. Use download_gene_expression_grid_data instead\n", " gda.download_expression_grid_data(\n", - "2022-12-09 21:18:33,161 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download/183282970?include=projection_density,projection_energy,injection_fraction,injection_density,injection_energy\n" + "2022-12-13 21:51:55,291 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download/183282970?include=projection_density,projection_energy,injection_fraction,injection_density,injection_energy\n" ] } ], @@ -500,10 +500,10 @@ "id": "982f3337", "metadata": { "papermill": { - "duration": 0.007127, - "end_time": "2022-12-09T21:18:33.680787", + "duration": 0.005339, + "end_time": "2022-12-13T21:51:55.975897", "exception": false, - "start_time": "2022-12-09T21:18:33.673660", + "start_time": "2022-12-13T21:51:55.970558", "status": "completed" }, "tags": [] @@ -517,10 +517,10 @@ "id": "a468118f", "metadata": { "papermill": { - 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"duration": 0.00651, - "end_time": "2022-12-09T21:18:33.773867", + "duration": 0.005044, + "end_time": "2022-12-13T21:51:56.048460", "exception": false, - "start_time": "2022-12-09T21:18:33.767357", + "start_time": "2022-12-13T21:51:56.043416", "status": "completed" }, "tags": [] @@ -689,10 +689,10 @@ "id": "9c3216e5", "metadata": { "papermill": { - "duration": 0.006327, - "end_time": "2022-12-09T21:18:33.787556", + "duration": 0.005039, + "end_time": "2022-12-13T21:51:56.058695", "exception": false, - "start_time": "2022-12-09T21:18:33.781229", + "start_time": "2022-12-13T21:51:56.053656", "status": "completed" }, "tags": [] @@ -706,10 +706,10 @@ "id": "42cf8d88", "metadata": { "papermill": { - "duration": 0.006394, - "end_time": "2022-12-09T21:18:33.800869", + "duration": 0.005072, + "end_time": "2022-12-13T21:51:56.068879", "exception": false, - "start_time": "2022-12-09T21:18:33.794475", + "start_time": "2022-12-13T21:51:56.063807", "status": "completed" }, "tags": [] @@ -723,10 +723,10 @@ "id": "fb406063", "metadata": { "papermill": { - "duration": 0.006538, - "end_time": "2022-12-09T21:18:33.814072", + "duration": 0.005053, + "end_time": "2022-12-13T21:51:56.079259", "exception": false, - "start_time": "2022-12-09T21:18:33.807534", + "start_time": "2022-12-13T21:51:56.074206", "status": "completed" }, "tags": [] @@ -740,10 +740,10 @@ "id": "ece0a710", "metadata": { "papermill": { - "duration": 0.006857, - "end_time": "2022-12-09T21:18:33.826549", + "duration": 0.005093, + "end_time": "2022-12-13T21:51:56.089475", "exception": false, - "start_time": "2022-12-09T21:18:33.819692", + "start_time": "2022-12-13T21:51:56.084382", "status": "completed" }, "tags": [] @@ -759,16 +759,16 @@ "id": "0ad6597c", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:33.841539Z", - "iopub.status.busy": "2022-12-09T21:18:33.841015Z", - "iopub.status.idle": "2022-12-09T21:18:34.626815Z", - "shell.execute_reply": "2022-12-09T21:18:34.625776Z" + "iopub.execute_input": "2022-12-13T21:51:56.101931Z", + "iopub.status.busy": "2022-12-13T21:51:56.101174Z", + "iopub.status.idle": "2022-12-13T21:51:59.863932Z", + "shell.execute_reply": "2022-12-13T21:51:59.863199Z" }, "papermill": { - "duration": 0.796218, - "end_time": "2022-12-09T21:18:34.629797", + "duration": 3.771274, + "end_time": "2022-12-13T21:51:59.865943", "exception": false, - "start_time": "2022-12-09T21:18:33.833579", + "start_time": "2022-12-13T21:51:56.094669", "status": "completed" }, "tags": [] @@ -778,7 +778,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2022-12-09 21:18:33,843 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://download.alleninstitute.org/informatics-archive/current-release/mouse_ccf/annotation/ccf_2015/annotation_25.nrrd\n" + "2022-12-13 21:51:56,103 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://download.alleninstitute.org/informatics-archive/current-release/mouse_ccf/annotation/ccf_2015/annotation_25.nrrd\n" ] } ], @@ -798,10 +798,10 @@ "metadata": { "collapsed": true, "papermill": { - "duration": 0.006216, - "end_time": "2022-12-09T21:18:34.644153", + "duration": 0.005501, + "end_time": "2022-12-13T21:51:59.877061", "exception": false, - "start_time": "2022-12-09T21:18:34.637937", + "start_time": "2022-12-13T21:51:59.871560", "status": "completed" }, "tags": [] @@ -831,17 +831,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 7.929006, - "end_time": "2022-12-09T21:18:35.071424", + "duration": 12.22201, + "end_time": "2022-12-13T21:52:00.200620", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/download_data_via_api.ipynb", - "output_path": "/tmp/tmp8u9hu7i5/scratch_nb.ipynb", + "output_path": "/tmp/tmp02pkcpry/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp8u9hu7i5", + "output_dir": "/tmp/tmp02pkcpry", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T21:18:27.142418", + "start_time": "2022-12-13T21:51:47.978610", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_data_access.ipynb b/doc_template/examples_root/examples/nb/ecephys_data_access.ipynb index 9e2556d79..1bead7c8e 100644 --- a/doc_template/examples_root/examples/nb/ecephys_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_data_access.ipynb @@ -5,10 +5,10 @@ "id": "4af47151", "metadata": { "papermill": { - "duration": 0.013493, - "end_time": "2022-12-09T22:43:38.563264", + "duration": 0.009225, + "end_time": "2022-12-13T23:44:58.778861", "exception": false, - "start_time": "2022-12-09T22:43:38.549771", + "start_time": "2022-12-13T23:44:58.769636", "status": "completed" }, "pycharm": { @@ -41,10 +41,10 @@ "id": "87a7f7a8", "metadata": { "papermill": { - "duration": 0.010507, - "end_time": "2022-12-09T22:43:38.584478", + "duration": 0.008051, + "end_time": "2022-12-13T23:44:58.795148", "exception": false, - "start_time": "2022-12-09T22:43:38.573971", + "start_time": "2022-12-13T23:44:58.787097", "status": "completed" }, "pycharm": { @@ -61,10 +61,10 @@ "id": "fa74e2be", "metadata": { "papermill": { - "duration": 0.014129, - "end_time": "2022-12-09T22:43:38.608537", + "duration": 0.007622, + "end_time": "2022-12-13T23:44:58.810432", "exception": false, - "start_time": "2022-12-09T22:43:38.594408", + "start_time": "2022-12-13T23:44:58.802810", "status": "completed" }, "pycharm": { @@ -96,16 +96,16 @@ "id": "8c3fba2b", "metadata": { "execution": { - 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"iopub.execute_input": "2022-12-09T22:43:50.467119Z", - "iopub.status.busy": "2022-12-09T22:43:50.466079Z", - "iopub.status.idle": "2022-12-09T22:43:50.471443Z", - "shell.execute_reply": "2022-12-09T22:43:50.470337Z" + "iopub.execute_input": "2022-12-13T23:45:07.002363Z", + "iopub.status.busy": "2022-12-13T23:45:07.001555Z", + "iopub.status.idle": "2022-12-13T23:45:07.006265Z", + "shell.execute_reply": "2022-12-13T23:45:07.005107Z" }, "papermill": { - "duration": 0.01969, - "end_time": "2022-12-09T22:43:50.473654", + "duration": 0.015355, + "end_time": "2022-12-13T23:45:07.007864", "exception": false, - "start_time": "2022-12-09T22:43:50.453964", + "start_time": "2022-12-13T23:45:06.992509", "status": "completed" }, "pycharm": { @@ -190,16 +190,16 @@ "id": "00bd7b08", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:43:50.524896Z", - "iopub.status.busy": "2022-12-09T22:43:50.524035Z", - "iopub.status.idle": "2022-12-09T22:43:50.528721Z", - "shell.execute_reply": "2022-12-09T22:43:50.527579Z" + "iopub.execute_input": "2022-12-13T23:45:07.046572Z", + "iopub.status.busy": "2022-12-13T23:45:07.045953Z", + "iopub.status.idle": "2022-12-13T23:45:07.049530Z", + "shell.execute_reply": "2022-12-13T23:45:07.048803Z" }, "papermill": { - 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"iopub.execute_input": "2022-12-09T22:39:48.045523Z", - "iopub.status.busy": "2022-12-09T22:39:48.044457Z", - "iopub.status.idle": "2022-12-09T22:39:48.301762Z", - "shell.execute_reply": "2022-12-09T22:39:48.300778Z" + "iopub.execute_input": "2022-12-13T23:41:41.334332Z", + "iopub.status.busy": "2022-12-13T23:41:41.333496Z", + "iopub.status.idle": "2022-12-13T23:41:41.449136Z", + "shell.execute_reply": "2022-12-13T23:41:41.448228Z" }, "papermill": { - "duration": 0.36818, - "end_time": "2022-12-09T22:39:48.305548", + "duration": 0.307092, + "end_time": "2022-12-13T23:41:41.453446", "exception": false, - "start_time": "2022-12-09T22:39:47.937368", + "start_time": "2022-12-13T23:41:41.146354", "status": "completed" }, "tags": [] @@ -3004,7 +3004,7 @@ " * virtual_channel_index (virtual_channel_index) int64 0 1 2 3 ... 381 382 383\n", " * time (time) float64 -0.1 -0.0996 -0.0992 ... 0.2492 0.2496\n", " vertical_position (virtual_channel_index) float64 0.0 10.0 ... 3.83e+03\n", - " horizontal_position (virtual_channel_index) float64 24.0 24.0 ... 24.0
    • " ], "text/plain": [ "\n", @@ -3136,10 +3136,10 @@ "id": "1a2f58ea", "metadata": { "papermill": { - "duration": 0.116229, - "end_time": "2022-12-09T22:39:48.535079", + "duration": 0.190746, + "end_time": "2022-12-13T23:41:41.835409", "exception": false, - "start_time": "2022-12-09T22:39:48.418850", + "start_time": "2022-12-13T23:41:41.644663", "status": "completed" }, "tags": [] @@ -3154,16 +3154,16 @@ "id": "1efaa3bb", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:39:48.773732Z", - "iopub.status.busy": "2022-12-09T22:39:48.772442Z", - "iopub.status.idle": "2022-12-09T22:39:53.298120Z", - "shell.execute_reply": "2022-12-09T22:39:53.292223Z" + "iopub.execute_input": "2022-12-13T23:41:42.260778Z", + "iopub.status.busy": "2022-12-13T23:41:42.259944Z", + "iopub.status.idle": "2022-12-13T23:41:45.386871Z", + "shell.execute_reply": "2022-12-13T23:41:45.385019Z" }, "papermill": { - "duration": 4.651519, - "end_time": "2022-12-09T22:39:53.302131", + "duration": 3.364218, + "end_time": "2022-12-13T23:41:45.390242", "exception": false, - "start_time": "2022-12-09T22:39:48.650612", + "start_time": "2022-12-13T23:41:42.026024", "status": "completed" }, "tags": [] @@ -3173,7 +3173,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4484/3702729921.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_5189/3702729921.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter\n" ] }, @@ -3217,10 +3217,10 @@ "id": "a6c523bd", "metadata": { "papermill": { - "duration": 0.115701, - "end_time": "2022-12-09T22:39:53.540032", + "duration": 0.19012, + "end_time": "2022-12-13T23:41:45.781854", "exception": false, - "start_time": "2022-12-09T22:39:53.424331", + "start_time": "2022-12-13T23:41:45.591734", "status": "completed" }, "tags": [] @@ -3237,16 +3237,16 @@ "id": "ae3e5e4f", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:39:53.782441Z", - "iopub.status.busy": "2022-12-09T22:39:53.781282Z", - "iopub.status.idle": "2022-12-09T22:39:53.791550Z", - "shell.execute_reply": "2022-12-09T22:39:53.790647Z" + "iopub.execute_input": "2022-12-13T23:41:46.166417Z", + "iopub.status.busy": "2022-12-13T23:41:46.165593Z", + "iopub.status.idle": "2022-12-13T23:41:46.174707Z", + "shell.execute_reply": "2022-12-13T23:41:46.174010Z" }, "papermill": { - "duration": 0.126419, - "end_time": "2022-12-09T22:39:53.793595", + "duration": 0.20337, + "end_time": "2022-12-13T23:41:46.176830", "exception": false, - "start_time": "2022-12-09T22:39:53.667176", + "start_time": "2022-12-13T23:41:45.973460", "status": "completed" }, "tags": [] @@ -3274,10 +3274,10 @@ "id": "fedc308e", "metadata": { "papermill": { - "duration": 0.120458, - "end_time": "2022-12-09T22:39:54.031557", + "duration": 0.190532, + "end_time": "2022-12-13T23:41:46.558605", "exception": false, - "start_time": "2022-12-09T22:39:53.911099", + "start_time": "2022-12-13T23:41:46.368073", "status": "completed" }, "tags": [] @@ -3291,10 +3291,10 @@ "id": "610efa53", "metadata": { "papermill": { - "duration": 0.124704, - "end_time": "2022-12-09T22:39:54.265855", + "duration": 0.18839, + "end_time": "2022-12-13T23:41:46.979332", "exception": false, - "start_time": "2022-12-09T22:39:54.141151", + "start_time": "2022-12-13T23:41:46.790942", "status": "completed" }, "tags": [] @@ -3333,17 +3333,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 679.866013, - "end_time": "2022-12-09T22:39:58.291289", + "duration": 939.22009, + "end_time": "2022-12-13T23:41:50.350484", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_lfp_analysis.ipynb", - "output_path": "/tmp/tmp7qgjmcr0/scratch_nb.ipynb", + "output_path": "/tmp/tmpe2c72rz8/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp7qgjmcr0", + "output_dir": "/tmp/tmpe2c72rz8", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:28:38.425276", + "start_time": "2022-12-13T23:26:11.130394", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_optotagging.ipynb b/doc_template/examples_root/examples/nb/ecephys_optotagging.ipynb index a967b2aa0..5d37b56a8 100644 --- a/doc_template/examples_root/examples/nb/ecephys_optotagging.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_optotagging.ipynb @@ -2,10 +2,19 @@ "cells": [ { "cell_type": "markdown", + "id": "363aa1ec", "metadata": { + "papermill": { + "duration": 0.009901, + "end_time": "2022-12-13T22:45:25.913978", + "exception": false, + "start_time": "2022-12-13T22:45:25.904077", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "# Optotagging Analysis\n", @@ -31,10 +40,19 @@ }, { "cell_type": "markdown", + "id": "96f2dd54", "metadata": { + "papermill": { + "duration": 0.007939, + "end_time": "2022-12-13T22:45:25.930436", + "exception": false, + "start_time": "2022-12-13T22:45:25.922497", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "First, let's deal with the necessary imports:" @@ -43,12 +61,36 @@ { "cell_type": "code", "execution_count": 1, + "id": "acff83e9", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:45:25.948490Z", + "iopub.status.busy": "2022-12-13T22:45:25.947681Z", + "iopub.status.idle": "2022-12-13T22:45:33.505086Z", + "shell.execute_reply": "2022-12-13T22:45:33.504062Z" + }, + "papermill": { + "duration": 7.569384, + "end_time": "2022-12-13T22:45:33.507745", + "exception": false, + "start_time": "2022-12-13T22:45:25.938361", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import os\n", "\n", @@ -64,10 +106,19 @@ }, { "cell_type": "markdown", + "id": "10fbae62", "metadata": { + "papermill": { + "duration": 0.008168, + "end_time": "2022-12-13T22:45:33.524641", + "exception": false, + "start_time": "2022-12-13T22:45:33.516473", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Next, we'll create an `EcephysProjectCache` object that points to a new or existing manifest file.\n", @@ -77,8 +128,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, + "id": "f3966f1b", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:45:33.542828Z", + "iopub.status.busy": "2022-12-13T22:45:33.542176Z", + "iopub.status.idle": "2022-12-13T22:45:33.546259Z", + "shell.execute_reply": "2022-12-13T22:45:33.545583Z" + }, + "papermill": { + "duration": 0.01551, + "end_time": "2022-12-13T22:45:33.548195", + "exception": false, + "start_time": "2022-12-13T22:45:33.532685", + "status": "completed" + }, "pycharm": { "name": "#%%\n" }, @@ -94,11 +159,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, + "id": "54318e40", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:45:33.588187Z", + "iopub.status.busy": "2022-12-13T22:45:33.587738Z", + "iopub.status.idle": "2022-12-13T22:45:33.592059Z", + "shell.execute_reply": "2022-12-13T22:45:33.591403Z" + }, + "papermill": { + "duration": 0.014771, + "end_time": "2022-12-13T22:45:33.593500", + "exception": false, + "start_time": "2022-12-13T22:45:33.578729", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -109,11 +189,26 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, + "id": "41e0ebee", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:45:33.610985Z", + "iopub.status.busy": "2022-12-13T22:45:33.610554Z", + "iopub.status.idle": "2022-12-13T22:45:33.614237Z", + "shell.execute_reply": "2022-12-13T22:45:33.613614Z" + }, + "papermill": { + "duration": 0.0141, + "end_time": "2022-12-13T22:45:33.615695", + "exception": false, + "start_time": "2022-12-13T22:45:33.601595", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -124,10 +219,19 @@ }, { "cell_type": "markdown", + "id": "bce822e3", "metadata": { + "papermill": { + "duration": 0.007992, + "end_time": "2022-12-13T22:45:33.631942", + "exception": false, + "start_time": "2022-12-13T22:45:33.623950", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Finding datasets of interest" @@ -135,10 +239,19 @@ }, { "cell_type": "markdown", + "id": "0515f3ea", "metadata": { + "papermill": { + "duration": 0.008024, + "end_time": "2022-12-13T22:45:33.648075", + "exception": false, + "start_time": "2022-12-13T22:45:33.640051", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The `sessions` table contains information about all the experiments available in the `EcephysProjectCache`. The `full_genotype` column contains information about the genotype of the mouse used in each experiment." @@ -146,11 +259,26 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, + "id": "7fe205b7", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:45:33.665850Z", + "iopub.status.busy": "2022-12-13T22:45:33.665312Z", + "iopub.status.idle": "2022-12-13T22:49:38.273793Z", + "shell.execute_reply": "2022-12-13T22:49:38.273151Z" + }, + "papermill": { + "duration": 244.627772, + "end_time": "2022-12-13T22:49:38.283939", + "exception": false, + "start_time": "2022-12-13T22:45:33.656167", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -163,7 +291,7 @@ "Name: full_genotype, dtype: int64" ] }, - "execution_count": 3, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -176,10 +304,19 @@ }, { "cell_type": "markdown", + "id": "93790d34", "metadata": { + "papermill": { + "duration": 0.008624, + "end_time": "2022-12-13T22:49:38.301179", + "exception": false, + "start_time": "2022-12-13T22:49:38.292555", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "About half the mice are wild type (`wt/wt`), while the other half are a cross between a Cre line and the Ai32 reporter line. The Cre mice express ChR2 in one of three interneuron subtypes: Parvalbumin-positive neurons (`Pvalb`), Somatostatin-positive neurons (`Sst`), and Vasoactive Intestinal Polypeptide neurons (`Vip`). We know that these genes are expressed in largely non-overlapping populations of inhibitory cells, and that, taken together, they [cover nearly the entire range of cortical GABAergic neurons](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556905/#!po=8.92857), with the caveat that VIP+ cells are a subset of a larger group of 5HT3aR-expressing cells.\n", @@ -189,11 +326,26 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, + "id": "a59944c0", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:49:38.319551Z", + "iopub.status.busy": "2022-12-13T22:49:38.319018Z", + "iopub.status.idle": "2022-12-13T22:49:38.336890Z", + "shell.execute_reply": "2022-12-13T22:49:38.336146Z" + }, + "papermill": { + "duration": 0.028983, + "end_time": "2022-12-13T22:49:38.338480", + "exception": false, + "start_time": "2022-12-13T22:49:38.309497", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -397,7 +549,7 @@ "840012044 [APN, DG, CA1, VISam, nan, LP, VISpm, VISp, LG... " ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -410,10 +562,19 @@ }, { "cell_type": "markdown", + "id": "d726d1b5", "metadata": { + "papermill": { + "duration": 0.008708, + "end_time": "2022-12-13T22:49:38.356029", + "exception": false, + "start_time": "2022-12-13T22:49:38.347321", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The table above contains 8 sessions, 5 of which used the `brain_observatory_1.1` visual stimulus, and 3 of which used the `functional_connectivity` stimulus. Any experiments with the same stimulus set are identical across genotypes. Importantly, the optotagging stimulus does not occur until the end of the experiment, so any changes induced by activating a specific set of interneurons will not affect the visual responses that we measure." @@ -421,10 +582,19 @@ }, { "cell_type": "markdown", + "id": "7387d778", "metadata": { + "papermill": { + "duration": 0.00858, + "end_time": "2022-12-13T22:49:38.373262", + "exception": false, + "start_time": "2022-12-13T22:49:38.364682", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Types of optotagging stimuli" @@ -432,10 +602,19 @@ }, { "cell_type": "markdown", + "id": "bfd67a28", "metadata": { + "papermill": { + "duration": 0.009435, + "end_time": "2022-12-13T22:49:38.393984", + "exception": false, + "start_time": "2022-12-13T22:49:38.384549", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Let's load one of the above sessions to see how to extract information about the optotagging stimuli that were delivered." @@ -443,23 +622,56 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, + "id": "3e811370", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:49:38.413210Z", + "iopub.status.busy": "2022-12-13T22:49:38.412871Z", + "iopub.status.idle": "2022-12-13T22:51:48.000847Z", + "shell.execute_reply": "2022-12-13T22:51:47.999580Z" + }, + "papermill": { + "duration": 129.600299, + "end_time": "2022-12-13T22:51:48.003262", + "exception": false, + "start_time": "2022-12-13T22:49:38.402963", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:downloading a 1601.838MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026123625\n", + "Downloading: 100%|██████████| 1.68G/1.68G [02:06<00:00, 13.3MB/s]\n" + ] + } + ], "source": [ "session = cache.get_session_data(pvalb_sessions.index.values[-3])" ] }, { "cell_type": "markdown", + "id": "93c026f1", "metadata": { + "papermill": { + "duration": 0.06414, + "end_time": "2022-12-13T22:51:48.131410", + "exception": false, + "start_time": "2022-12-13T22:51:48.067270", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The optotagging stimulus table is stored separately from the visual stimulus table. So instead of calling `session.stimulus_presentations`, we will use `session.optogenetic_stimulation_epochs` to load a DataFrame that contains the information about the optotagging stimuli:" @@ -467,11 +679,26 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, + "id": "03635a37", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:51:48.260370Z", + "iopub.status.busy": "2022-12-13T22:51:48.259636Z", + "iopub.status.idle": "2022-12-13T22:51:48.845061Z", + "shell.execute_reply": "2022-12-13T22:51:48.844028Z" + }, + "papermill": { + "duration": 0.652543, + "end_time": "2022-12-13T22:51:48.847021", + "exception": false, + "start_time": "2022-12-13T22:51:48.194478", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -649,7 +876,7 @@ "[300 rows x 6 columns]" ] }, - "execution_count": 6, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -660,10 +887,19 @@ }, { "cell_type": "markdown", + "id": "a9baa439", "metadata": { + "papermill": { + "duration": 0.062774, + "end_time": "2022-12-13T22:51:48.974277", + "exception": false, + "start_time": "2022-12-13T22:51:48.911503", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "This returns a table with information about each optotagging trial. To find the unique conditions across all trials, we can use the following Pandas syntax:" @@ -671,11 +907,26 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, + "id": "dbdbaadd", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:51:49.104047Z", + "iopub.status.busy": "2022-12-13T22:51:49.103218Z", + "iopub.status.idle": "2022-12-13T22:51:49.118750Z", + "shell.execute_reply": "2022-12-13T22:51:49.118028Z" + }, + "papermill": { + "duration": 0.083048, + "end_time": "2022-12-13T22:51:49.120368", + "exception": false, + "start_time": "2022-12-13T22:51:49.037320", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -818,7 +1069,7 @@ "6 half-period of a cosine wave 2.0 raised_cosine 1.000" ] }, - "execution_count": 7, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -831,10 +1082,19 @@ }, { "cell_type": "markdown", + "id": "5fd8bb42", "metadata": { + "papermill": { + "duration": 0.064743, + "end_time": "2022-12-13T22:51:49.250918", + "exception": false, + "start_time": "2022-12-13T22:51:49.186175", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The optotagging portion of the experiment includes four categories of blue light stimuli: 2.5 ms pulses delivered at 10 Hz for one second, a single 5 ms pulse, a single 10 ms pulse, and a raised cosine pulse lasting 1 second. All of these stimuli are delivered through a 400 micron-diameter fiber optic cable positioned to illuminate the surface of visual cortex. Each stimulus is delivered at one of three power levels, defined by the peak voltage of the control signal delivered to the light source, not the actual light power at the tip of the fiber.\n", @@ -844,11 +1104,26 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, + "id": "9c2c7448", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:51:49.382860Z", + "iopub.status.busy": "2022-12-13T22:51:49.381989Z", + "iopub.status.idle": "2022-12-13T22:51:49.387581Z", + "shell.execute_reply": "2022-12-13T22:51:49.387028Z" + }, + "papermill": { + "duration": 0.073391, + "end_time": "2022-12-13T22:51:49.389245", + "exception": false, + "start_time": "2022-12-13T22:51:49.315854", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -863,7 +1138,7 @@ " True, True, True, True])" ] }, - "execution_count": 8, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -874,10 +1149,19 @@ }, { "cell_type": "markdown", + "id": "c97cb9ba", "metadata": { + "papermill": { + "duration": 0.065023, + "end_time": "2022-12-13T22:51:49.520149", + "exception": false, + "start_time": "2022-12-13T22:51:49.455126", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "We realize that this makes it more difficult to compare results across experiments, but we decided it was better to improve the optotagging yield for later sessions than continue to use light levels that were not reliably driving spiking responses." @@ -885,10 +1169,19 @@ }, { "cell_type": "markdown", + "id": "13d5a9dd", "metadata": { + "papermill": { + "duration": 0.11588, + "end_time": "2022-12-13T22:51:49.700761", + "exception": false, + "start_time": "2022-12-13T22:51:49.584881", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Aligning spikes to light pulses" @@ -896,10 +1189,19 @@ }, { "cell_type": "markdown", + "id": "2331defa", "metadata": { + "papermill": { + "duration": 0.063885, + "end_time": "2022-12-13T22:51:49.829255", + "exception": false, + "start_time": "2022-12-13T22:51:49.765370", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Aligning spikes to light pulses is a bit more involved than aligning spikes to visual stimuli. This is because we haven't yet created convenience functions for performing this alignment automatically, such as `session.presentationwise_spike_times` or `sesssion.presentationwise_spike_counts`. We are planning to incorporate such functions into the AllenSDK in the future, but for now, you'll have to write your own code for extracting spikes around light pulses (or copy the code below).\n", @@ -909,11 +1211,26 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, + "id": "44e94072", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:51:49.960134Z", + "iopub.status.busy": "2022-12-13T22:51:49.959353Z", + "iopub.status.idle": "2022-12-13T22:52:09.414653Z", + "shell.execute_reply": "2022-12-13T22:52:09.413811Z" + }, + "papermill": { + "duration": 19.523622, + "end_time": "2022-12-13T22:52:09.416934", + "exception": false, + "start_time": "2022-12-13T22:51:49.893312", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -960,10 +1277,19 @@ }, { "cell_type": "markdown", + "id": "eaf1d1d8", "metadata": { + "papermill": { + "duration": 0.064428, + "end_time": "2022-12-13T22:52:09.547402", + "exception": false, + "start_time": "2022-12-13T22:52:09.482974", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "We can use this DataArray to plot the average firing rate for each unit as a function of time:" @@ -971,23 +1297,36 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, + "id": "def906e4", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:09.678930Z", + "iopub.status.busy": "2022-12-13T22:52:09.678122Z", + "iopub.status.idle": "2022-12-13T22:52:09.963069Z", + "shell.execute_reply": "2022-12-13T22:52:09.962439Z" + }, + "papermill": { + "duration": 0.355485, + "end_time": "2022-12-13T22:52:09.967510", + "exception": false, + "start_time": "2022-12-13T22:52:09.612025", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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trfgNXUXRavk9rfPxDYrv1R6jMOqbs68zSm2akZ2/gL5w0UVMFD+8LTGDAXphkVe/8bvQly65CI9pRk/cyl5mGzA/A3MzSLm0ofzejhGFVMpIo+76nW04Q3y1QmyiXD/5eKVRdzeOy/T7ul991YbXVBQhM6vnrWrVqz/vgoLryP73qRfsmMVzS1s3sNa5ZPIQy9FrV43R6MUlWJqoZ3kD+502D7rVgvXl7Pbx02zBE4997X4pZAIKCp6YFO6XzdnX7pfrQq517bJIvcum/K9BeWs/u1tcab8ioDzefebt7rPrz2Wrfq9mHvYo7z7z6zd6CAUFu06xUt8C8X3U7CzM5rHSk5mfl5k3VS6j5mZdpiIg7R5mqXnVmYqqXHbiWrXyar+LS5fXqpnIKJ296RDNs0trMj9VpYI6NOe0aqxFWl3MwiJmMNi88vwe1EjfCfPHZ1l8vHn5hgV7jmKlvjlPPJ/6SFe8UnYZkWmKaXemRoFYrTGtFiodIqJA6zURFapcRioVl5yUuTC/UXKMGSTQXEa6ztia4XDTcEtVqyFHD2Fmq+7fy13s+UuY9b5dcFo0S02k0x33awbbCOO0FtPporTmpruP0Ly44BJ99JTN5XWrcJulmOUVZDAAUZi88vy+ZOL63/yCu1n5i69uev0LCvYj18yoi0gM/DkQ5cd5r7X2zSLy74BvBUaFPf8Pa+3nxNXveivwEqCXv/6Z3R+YcvHMpdjprnjKGatpWJclqjeLffc8JI6wpQjJfMh0HrOOM+zdLmxjZS6+j62WGM5GWIEoMy5JZtqQssxpqlzBit+mQ3Q65Id+5q/x2fd/fN2bFjINwzzTM8sYP8UdpMrzE9f/h//2S3jTJ7+++fUvKNiHXDP3S26kK9bajogEwIeBnwJeD7zfWvvede1fAvwkzqg/F3irtfa5Wx2j2CgtKHhiUrhfNueardStu1uMxLOD/G+rO8hLgXfmn/uYiMyIyHFr7ePXaozTUOWyKyUXRy6DsNMdl5LbCglCvBNH0Udm0JGH3xmizi+SXVwAo53PulZ1/WYa2+lgOt3VEnWjavLrNyDzttM0TxBZHW8Ubt12gp/+9dfx1p/4Tef2qZRdtuQE1vfQc1UGR0qkFYWfGOJLQ/xLbafCOEimloeDfB+ilpeS8xS2P8CO3BvT2jbqSLnspIwHCXal5Z4KrgM//euv41+8rtgsLThYXFOfuoh4wKeBO4G3WWs/LiJvAP5fEfkHwJ8AP2utTYCTwOmJj5/JX7t6oz5KN/c8MMa5MDZR4hPfh3IJU46d9G6WQe6/dhEgAeKpDenoEkXYOELHPjpSiA5Qpdj57rV2fvcodMUrRJDYFewQrZFS7ApblGOnr64U1ldYJaihRsFY82R8A4hjdwPIx2KVuApznrfqApocL7gs0izlgU895NwQUYitlbGBh+jc/WIM+B5pPaR3xGNYF/yeoIYB3krg9OiDACnFU0OnxPfduQa+G5PvYzeLlBHlIml8D+spJNPYaWn+14gHPvXQZdusRvwo7EgWoEhyK9jDXFOjbq3VwL0iMgP8nog8Ffg54DwQAm8H3gS8Zbt9ishrgdcCxJS39RmvWlnVSDcG1Wxtqqe+FSqKnPZ2o+qM7ySpRpotvIcfQ6VDVLkM83PIzSfcuCd0ukd66nLiKDbysUw8woiQVUOGMyFZSQh6hpIxSK5r4x0/ysp9x2nd4lbXja9r6p85h374NOtR5fJqRAugWl3M4hJ/+BsfQIJwtaEB6SdjPXXxA+L0JKh5koZH0DWUH1nBPvwYejBA1Wqo+Vns8SMbg2IHKbbZwjx25rJPNzYdoi9dgkvbvAC7zB/+xge2fH8c/TTXwEY+qj+EpWV0c6Uw7AV7lusS/WKtXRaRDwIvttb+av5yIiK/BYyEvc8CN0187FT+2vq+3o67GVCrn7LZX7kPNdQEF9vYs+ed0QzCvERdLkA1TLGtNlxcwFqLSTNstlH6dTeRKEIfapAcLWMF4ksBqtuD3KgzUyc51UDHiqCTEZxbgQsLoITg6GF0eQYde5hAyOoxwc0n8BM35sZnL9CYLEzkefi33+q0SlodJyNrNKY/wJ6/6I4HLmplOOR9K+/kpTM/il5sIq02iGC0dqJX1mKzFHvmceLmCrHvu357fRf5s/48tXUKh+2Oc59YVy3qcgZ9L/C+lXfy0sZGqYARNsswzSbS7bpqVVq78yoMesEe5lpGvxwG0tygl4DvAH5l5CfPN1K/D/hS/pH/BvwtEXk3bqN05XL+dAHEWMSy0ZUyUsyzdlXgaRu+WptlSH+AmqhwryolrI6QKHQSvOBWt8a40nG528ImE+XLtEYNhvidwPm++ylo9561FjVM8XoZoj28zhDp9MhyN48fx4SXItQwQjKD102da8TaDf5sVa06n3pefm8NRmMTveGJ5JUnX+uMdzqcLhO7PtpFxMn4lsuu3F8cY0d++DxqZrvzu5d45cnXXrbNONqooGCfcC2jX54O/Dbg4R7S32OtfYuI/ClwGGeTPwe8Po+QEeBfAi/GhTT+mLX2U1sd47olH+WP32swoNrdfVn67Hnfcx8fe/+nt91eghDv0JwrOxes3VSVzKxJVNpP7HQeCvYORfTL5lzL6JcvAM+c8vq3b9LeAj+xk2NIFOLdcjuiDbbdxSyv7LhAgURR7qopu429bh+z0poarWFDn7QekZU9xFqiSwFeb+BcKlGEuukE6fEZsrJH0EoJTi+QnTt/2cd1FceumEXu+5ZOD7O8smMjKb7vzqVWXV1JjwdvkU4P3VzmJa950Y6MmfN9L8BSE1m36WlGuuLTkpj2ODudh4KC/cD+zii11oXYaQPZRJGGvIamhKELlRumm/p5RQQJAmwcYpWLwCCXWrXGQpIgnR4y8LBxhBd4WN8ZNknN+JhjY6fICy24/44jUbY8DevcPkkKSiAKUUcPo0QuG6Y4Kg4hge8iWvw8CcqsO6ixuT/Y8g9e+isb+vFPnaR/9zG6J0KsQNg1hMsZ3kCTNgKaTwro3GowkaH6dZ/jH+6iPvmVvEpRiKqWXJTNyWOc/+Y5mvdqpJzhnYuY/Qo0HhlgldA/HNI9psjK4PWhcsFQvjBEDY2LBko0ojU28BjOl+jP+2SxoDII+ga/786rd8ine1JI5gzWB1PRBLWEMNT0eyFcjIgWFV4K0aKl/uiQ6FIPtEXSDBmmvOWn/iP+7bdiAz//8+jeWqX5ZI/BYYNKhdJ5oXZW43cNQS8jON+GxaZz6Q1Tl81b+NgL9hD72qjbYUr26JSojzBw+iiNqvNnj8qkTUm73xKjnb5JrnGiymWC3hx+vYIVQXV6roACuS9+pUOgFH6uE2N7PXdjuNx5TGatKg//5pMMbj9MMuvjDwylR9uor5/e6OYRQVUrMD+DjSMkzbDLLczj57f0A//c7/wU/+iH3zoxYR7dZ5zg/I8O+BfP+h0CyfjPS8/hAw89mXQp5qY7LvH5p/3emj7uOPF67vpyCd3SqHoV5mawUci575jj83/nX61p+z96EW/40I8gvuVv3Pu/+MUjXxy/90sLd/FvP/dN0IpQfUXQFvwBZCXgqW1e95QP8M3lB3gkPcSfrDyFLyyewAK/eOfv853l7W12P5B2+d6PvYHgs7OoIQQdS9i2/MM3vIS//2/+kKQuZBUhK8FTvusB/uKOtVExf+vsc/no+VtYerzB3KcPc+izJbzuENXpwT50vxUcbA6uoNc2K8SrOHZhivUKVilnqBebU3VXvNlZzO0nGBxzrpr40gDv6+fRFy6uHlPl5dDiCNWou/ql4Nw6zeXLC2+Rx0aHoXtiMMY9aWTp5gUtPM/FfI/Kqk1bOYq4gsszDb71+5/Dn/3XT2NbbeeyGgl6zc1iqy5iyMQ+JvKxnkJHiuGMT1JTWA/KlzTV+y+hH37MHWtiDKpexZ48QnKsivGFoJsRXOwgLWf4bDnGVmJM6CGpQXUHSG/gXDjGuM1eo91c5hIM+J4799GmNK7WqW6U0LGLhzehwgSC9UClFr+n8foZoq0rEN3quhJ8Y3eR4dte9lw+9J8/4Z6OPKc8KfUaer5GVgkQbfE6Q1Tb1SB1G8LdvBKS3fJ7VXBtKXzqm7OvjXojOGyfP/P9zrWQJFf0KDzOgIwjl2AyGLhMzynhe6pSQR05hJ6pgieo5S5cXJyqVuhcEhVX3xLypCftxjca7y5UnpcoQkUu2Qdjsf3+9DJuEyqNthwhSQbLLczi0oZVvfg+3k0nSW6ZJ635qKEhWhzgLbZdeGiSuEzbfbYxWnBwKIz65uxr9wu+D8cOgzGoVheay6uKhVsVAR6tLHPWSOnm70kUOSOp9fhGYbpdzKMD5LT7Lhlyv7tafSIYYbPU9bu8DKLcKnm24VaemXaV57XGDrexsbvFeahyGQ7NOkM9zFDNFnaxubphPCqk7Hku+xT4o8/9Q15898/m7yvXZvIYnpMJaN0SMTgkhC2L381Qi010u30wVqYi/LF+D9/hveJgnE9BQc6+XqnX1Zx9nv9dSBQhJ4+R3DRDWvUIWxnRo0vo0+c2RMOoSgVzz+00v6HKsCHES4aZ+9vIVx5yK9Z77+bC8+p0brL4PWH+S5rGRx4le/w8/vFj9J5xEyu3+phA8HuWqG3xEoNKLUE7w28NkHTd04I2SG/gXB39vnOvNOpQr67GvW9GmsFye6x7Pon4Pt6pEyS3HSKZCfD7htJjK9hHzmB6PbzDhzG3HmNwJAYL8cU+6tELLqEmj5Sx9Sp4Ks8oXR4b7UkXkPi+iw4qx65tb4BZWp7qotrzKA9vtuHqmYYBMhhimyvjhK2C/UGxUt+c/b1St26DElGoZIjXy8CC18+cMZwWdqI1XiehfCkm6HuELY3q9DHa+aO9lR7VsxVUqlBDS9jW2EoJ7+gRF6etwBvmSU8GjAeEeTSMNqhWD/ob3RJ2MHAZl1mGNRbV6bo+PAVBgC1F2DAA5UIndexjA4WkBj8K8aIQm6YwTDG9nnOBGOdn9jspVgQv0chgiBmFF+YRNX43l/G1FqmU+PYfeA5/9r7PQCl2Gi2+onXPHBeefZLwSS20VpiHqsx/wVJ5fOKmOP4J1eC2w1MvSedkyIVv0XzvfZ/j9tIlPrx0J59+8BbCc6F7tJkgWhbmvppS+fJF6A+ws3WS43WGDR8dCr2jit4JS1Y22LLm8PEV7pk/T8lLeaw7y6PNWbrteINMnFoImf2SMHd/B6/rErtGNyGvWiG59zYu3Rvxnd90F3/whb9EJSdQKYgBv2/dk8nAXV8vMXgDgxiLN8jwmj2k1XH+/3XfK9sf5P527W6a5TJEkbvGUYjNk9esJ9gocNfYE6wn6FihQwXijqkSg8osVgk6UphIsEoIOproXAe1mD9dRiE2jjaIsgGumElz2d2wrEXFMVIquUS1UZbwLrgAC/YW+9uo51itsZ0u/iU/jzwZbhp5YoYp3sVFysN0zUpt7Ga5sEA9zajlG5yA+xHMz2BKAd7AUL6kset+Q15i8VoJ5uLC5aMh1mmtj6ok4SksHtZXZNUAHQsqtSCC7wmSaqSfoKxBD132qu128RYCVDeCNMO2u5AbdZskqKU2YarH6o+2HPPc734WH/rzB/PJc1mzzSd5/JMfeCffV3HCmh97tuYHj76O6ldi1BDCliVqO0OTxYphTUjLMmHoHa2nD/n6i//t+N8/PfsI3AF/0Itp69Katu9ffAaf/JNv4ObWHH6zT//mGkvfENA7ZtFVzV13nebv3voHPD/SBLL9sn1nsg7ffvLHEVultKiJFmKCZIhpt5FyieU7QvQ3rvADL5jn/LEvjz+XWcXDy/NcON9ArfioTPB7Hn4HF1LZttTORsSPBxufxjKNrDgVS5sbdalVxxvwuhYxbIToksL4wrCiSGuC8UFHkFYtuuS+r17fJ+gIXgLWg7QCWcVifUu0EDJXbVB9SEBbdC0ibYToeN2FsBAtlwkzDa0OYJBSCZmpOxdgmiGikH0i6VCwffa3+2V99MtkYszlzmurtlupCoKLcJnCVUVCTB5T1JpjjG9OoyePrca73XNZ00bhzc1gTxwmmy1hPIWOFVlugIKuofxYC3nknIveyeeBKfMgvo+Uy0g5V5HMtHvCyGPk1zPdidwAACAASURBVJDvKTjNGZP7/VejlsT3nXtqtC/ge24fZXSek4U81vfbH2Dzfm0eqTKaGwlCJI42JFK5bq1Tqhz1a8zqMUYRL6P+Nn543WRsfk2dQqVMNJVV5c/JY057L3/aw5qN/U4OZ915bxjTPv7tF+6XzTkQK/UxO/mSbtV2s/dsvgK+TDLRFTF5TKt3dowdnstb3vemtQlIVmOWV1DDlOBc4AxrGGLj0NUkTZwgmu50L+t3tklyRVWZIHelZdmWovu7wUjzZsM87PqBtn9NtzrnLedjN78rBQeCg2XUJxnFjDNlxbIu+mXNCnu0Kpz87HY30Cb6nbpK2uZ417PbsdDTJGdtlqE73dUxeN54hWjz1eFB20i8nPRuQcF+5EAadRXHLqO0XnGqgnlGqWm3V0W6ZuvYPPOT5spYI9ur1ZD5WRfpYQzSbKEnQwQ3YX2/apDA4vLacMnNxlsuu/HWyhuKREiax5MvLe9Y12YzPv+h+zeOoVIZa69bX5HVItJGQBYrgq6h9Ogy9uunD1Rs+rR5KCjY7xxIo26GKTSXcx1shRkOx8lEVmtMq4VKEreq1tol64xi0fsDZGHJ+XOtwQySbWmvW62x7TYy2W9/sK0VthkkTiyr012/7+h8uNscA8pzBUEqZfB9p3czpZTcu8++fYOOuE0SzMIS0uqg4ggzf5KV2wIGc2Cf2uOrL/jdNe1fd+b5fOxdz8TvrT2/oGepnh0Snll2m9Bx6DJIY5/hTMSZb/P53170cf7G3Mf47+2n85sf/WYOf8QnXtEELU240EWt5PrlpQhTibC+QjKD6iZI3yVW6SMzdG4pM5hVSAaV8xnlR1eQdg8CH1OOMeVgqt9/PA9//H/zfX/1H7mM095go89/K6x1iWrtDjZJnJLl0cOYQw1M7KM6Q+TSEvrS4oF7winY2+xvoy4yThLCmtVdfKOdIetNtBslFOWsL/gwfk9rTKcz3RhPCoXhXBbjLNb1GuQ7YV00zKgM3ZqNtPyYTphrumSAKHGROiWndy6egixDjTbecjXFaYUhrLFI3mbUt1VgfcuTj24sTfTrpz7K7Xc+Hb+tEIPTl7cQdBT+ICBoxs51UwrJGhFZyad/yKN81zL/9PhngJD7oq/yuaec4iuPPBkdecShwktil+2qBFONSeshOlR4Q0MgMi60NJyN6B716B8BNQSV+UTNGC/T2DBAN2LSqpMQ2IwXv+KteI2YQCnXr96Bc9q6+ZJeHwuIp7CliHQmJit5hJ4iWAm3JehWULCb7Ovol0b5hH3ena9GjEFWOuiFxanp/V69Pi5ntxViXRUfc2lxaliiNz+HvuMk/RMlrBJKFxKChx4nO39h185pTTp/HG18eydunQmXCuB0zxeXePEPfeMGf7J/7CjpHcfpH40QYymd6+M9fA69uITXqGPuvInuzRWyyJXYi5ZS/HbiwizzfrcV85zvWYzZyb7DLvOS17yo8KvvU4rol83Z3yv14RB57JwrUTccbppyb3o9JMvGZd22woYBanYGdXgetHEaJ+22W5W3OnhfO0PtbMm5BwYDdLuzraGqSgVVq0IcrVYKyvtdOwDrfP/D4ZrN3DGBK+zs33KTcwF0e2MXwIbz7g/gwiWkGTp53zTFDFOe/Ow7Nhgz3VzG/8uM+qOx67fXx3S6bjydLurB09TPlpzw1UjeIM3W9Iu1bn/g2BGyI3WMr1yG7blL6MWlcUz8KIroRjNtHgoK9jv7eqV+LSofqUrFpc+Xorz4RmesZHjFiLiyc406Ng4RbaA/wHR7Y5fIdqvUjwpqkAuF2a4rqLHTItrXClWpIKeOkx6rYXxFsDxAnbmEvnipCKcr2DWKlfrmFEb9BiC+j5qfg5k6NvB35FLZDX71T3+eN377z1/z4+x1innYvxRGfXP2t/tlhPLw6lWkVnMZiGmGXWldvaLgqN9GfVwNaYy1brV9BWXnbJZhlpaRdmdtlfrrdIN95y+8Z8Nr4yeAkpNHsJ0eptXaM08A14Jp81BQsN85GEYd8giYib/dRJvVNO0R1k5PUd8mo6zGG8HZBx6f+rrNIzrcP8zOQvw2I48YIghWU9yHwz3hitlsHgoK9jMHw6ivKzu3q/0ur8Dyyu72e4N52yd/mVeeet2a1644HPMyqEoZNT+LqZYRY1ArHRcpsweSmKbNQ0HBfmdf+9Qb8TH7/Ft+NN/Q7LoNw8utfpXnClY0as6fPUydqyaXJ71icp1uqddcjPhguOoCArdROtNwG6WZ3nwDdrSpOtm21castHZVTU+Vy8hNJxger6Njj2Hdo3tMMWyAaKictcx8rYe/0MnnqD3WHFflstv0rZbdnI3mPk/CUTMNpFbBeso94fgeVmQcenolRn19v9IbbLs84BUz7bvSXDk4hUL2MYVPfXPU5ZvsYaxFhk5jnGwT/fRpaA3JcPxZu5Okk61IMximrt80dZot+ThHYYCT451alHqUAJSmq2213lYB6+3ysp/5HieBkAzxuylBOyVsaeJFQ7xg3d+KxuulSOJCF0dyvpBnz2ZOu10GwzUKjBL4SK1Cdqjmwhprsav01Om5OqGDwZXNtzXuOMPU3TCHqVNTvNp5uBxaO5naYQrJcPWaFhTsUfa1+8UOU7JHT+/sQ9fSVbNFvy7DdXurStPrXdMV6PyJOcxggHnkMXjESaKH+d+acQBmJNU6sTK1SYK+tDHLFFxkj6mXGRwtoUOhtCB455tkZ89d1erWZhm62YRm84r7WM/8ibmtG1yr70pBwTVkX7tf9mtI415nVCZveNM8ad1HMkvQSvFbA1cMIi/NN7WcXS5xIGFebUlrl5hk9Ko7YyYXUxvmkr65mNqWY4oivNkZbG1CpK25fPmCJAUHksL9sjn72/1SsCXi+6haDW9+Dm9+ziUG+T5v++TWGuLWWGy3T7DYJb7QJ7rYx1/qIq0u0ulh+31INxEYsxabDl2R7m7X+c5HBtsaJzLW67t+en3sINme20xr7GCAdHrus4PBVe8xXG4eCgr2Iwd7pT7FdTB+fSv9kctVh9ms3z3GpKQv5NovC4vc8ZQTfO0zD9/g0d14nvSs24t52KcUK/XN2dc+9c2QKMKbm3WP6p5COn3MUhPT7SJRhLrlFMlNM6RVj7CVET26hD59DpsOUbUaam7G6alrAyvtsZa5imPU7Ay2XgUlSLvn+r2WERhXgen1nMjW6AaW37x67f6NHdgeoZiHgoPIvjbq4vt4h444OdpBrqVi9GpNR9/DKuUkaEfJQ1pDs0UkQhj5yMD5dUdRDSICnof1PEQpqFXwfH/1Ud9aZKXthKySxGm27GWmCGj94u//LD9290+teU2CEFUpQRS54szPPsbFZyvMiQEm8fCXAsKm4A2h8rhh9nNL6K8+tNEXrjxUpYzEsZMOHqaYXs9lpoqgomis976BJMF0+9ctKWvaPBQU7Hf2tVHH92B+xoXMtZTz1yZ6tXiwNuMMSfH9sfa6XlyCyeiNcWFjf40cgBVBohCbb/qNYs9Nq5OXmJvitpl06+zR4ghjQzYxXokjpFbDVksM5ys8/gLhXd/7L3le7ObjE0nK7zb/Cmf7M3z0y3cStmcoPeRjk7XnKIGPqlaws3WsUqhuH6U1OkncHFfKSC5sth7p9l3OwXUy6oVBLziI7H+funqR+8cmldzF8/COH2N462GS+QA1tJTOdpCvn0W3WhtK34Ez5ijWaoUnCapUQs3NOh+1TLhfut3VcnYzNQgDpJ+4RJXrJNK1E37kzS/nd37pfai5GWg4vRzpDbDNZXTLSQmrOHI3Qd9HwgBbr2CqMdYTvNYALiygl5obzm3s+pow6nax6UIDx422cIVex7n6kTe/nH//C797+YYFe47Cp745+3ulDpsbgVH1nizDLK8QPgLBRecSsJ6HueMmt0hNNHT7sLQyTrCRiT7MIBlrhdvhELPSQvJsSDtM15TJs90ukmXgKXfcbZazuxpUuYyUS0gUOV2VXn/shtoKV36v48arPKwSJI7xKxWn0dLvj/XevXodc2yW7k1ldCjECwGl3gCaK4BBlUpIpTI2/t3bZuic9NGhUDmvqX/Rh053Igpmb93kCgoOEvvfqG8D026PY6olilA3n2R4ZJas7BG2U8JuH7O4dNkQOZtl2HYbpoRnY+2OEox2BREkDJBqBVuKXOaj1ki/v2WU4Gh1OjleVS4jc7PYSsntG+CqLNksg8Anq0f0Dil0LIgJiEurVZkkipBqGRuHZLNlukd9uicFHVlEK6qVeLWsW15acISdKJ93zRi51/LSdtZYMHr6Kn2TtgUF+4X973650uSjy4UtHmB+66tv3ZE/WaII79A8dqbmikB3B7CwNF0vZ9JPr2StUcz1cZibwUahkyBorqCXlq+p4RyVM7Tl2MkjLLfRS03e8fl/vGEeNrRtttCLzRumqFkwncL9sjlPiJX6VDYx5CqOkVoNiSPnhuh2MZ3uropp3Wj+3vf+8qpWfMXtJdhB4s512pOGyTeejQEtiLHOWE+bw4lomw1PC0a70nhp5lbrWrsC4Ne4MrPp9Vz9Wd8HazCDBDscunlY37Y/QBaW1rbNNkm0KijYgxwco648ZyiUuBBHrVdXf3nqOtMqy69vGwQu4qXkjLqIoEZ1OdPM+dE3W7VtNYadMDneaefieatROnk5vLGBXT+GLN3wXmW+jjrXQuLYnafnoU/O0TtRoj+rMAEks8LgiMFUNKrjUX1MUX9U4/cNQSsiALx8DBKFUIqxgU82X2XpnjKtO0DHFr8rREtC0LGIAZWBSt3/B31D6Vwf//Gm01ifCH9UlQr63iex8PQSyawgBrwEVAqYvEi4BrGABTHuDwtBz1A5l+BfWEG0IT02Q+eWEoNZQQ2hfjql9MBFqidm8NsGO9dA12Osp9ChIos9rL/xu+L1NeHiAG+54/ZYohBTizGhh2QGr5M40bI0RYLAze0ocqrTwywsrcoaXOF3RXwfVS6Pi5nQH7g5y/dGVClGSrH7foyekrR2xxgOVyUbCg4sB8OoKw9vbsY91ofBhsd6r1ZD5mcxldKGj0oyhKXlsf7IpP9dxTHcfjO9p50gqyinZPjwIubRsxsM+66VqBPBm5mB+RlsHCFpBsut1QSoUmk1WgdWo3N6PSQI8ebzyBPPQ/UG2KWmc5MAXqMO8zP89L99Az/5A/8Su9zCPHIaPI8H3/BMHnrFv9lyaJ9LEl5z/4+wcL5O9S9PUHvsGMaH1m2K5O4+87MdPvHM397+uQIdM+Dp//mnqZxWVM8aZj+3iP7Lh0mfcxcfeNc7dtTXep7ykR+m3474+nf95ob3bvuD1/DPv+1V/PV3/Eee8d1f4V23fXBbff7PXsAbPvrDmL7PXXee45dv+w/cG0WkVvNjj76Qj33kbkoXFYNDlvKTl/nWUw+SGJ8//sTTuf29h/H+7LOI513xd8U7dYLWs46zcquHWKg/oql/5hzZo6fxZhsk997G0t0RWQW8AYQtS9CzqNRSfryP9+BZ9MLiFc1nwf5gf/vUayftc571E66K/VCjhtqtrrV1m4ZpXiIuzVyUyjAFz3Mbi9USNvCQ/lqjvoY8kUblyTI2TbGd3EUxxZc8ErISz3PRJUmyLbeNRBGqXkfKsfNJpxl2MHD/zaNuxtWCJisJAaTp6upLBAlD9ycyrjJks2ztzaIcrZkj6ykefflx3vO6f8o94cYb34hXP/YCvrh4nEunZ5n/tMfsAy4KqH8opHdEkVaE7lMTHv7OtUb0fw0Mr/vcj1CNE37vqf+O4351/N4nkpRX/tnr8S6GVB8Vjn5kBfv5r+IfOcTZV9zBqe//Oj94/BM8KzrNN4TlDWP6n72Ap4XNNX2OeMpHfpj+Qpny4S73nTjNvbUztHXMRxZu56Hzh9EdH0kVflvhdwWrQH9Dlzfe+8e8un6GpunzO617+K9n72WhU2HQDzGLIcGKQixkFYueyfBLGdYKuusjfQ+VgWTuqUClgkqh/ohh9pMX0A9+fe0CIPKRzLhrkU3ZNM40ttNxoaYjLfvRhjb5E0CuTz/SnGem5nI4tHG/gcz9Lmyv71yJB2B/oPCpb86+Nuq1+il73/P+FkpbvG6K13aGcBIxeS3RlZYzxhN1R23gI0m6O/VMrwKJIlcAopIbrV7/imqfbn0QcU8s9Rr/589/P7/xy+9ffU8pms8+zMWXJLzqaR8nVin3d47zQPMIrV5MlinSfgB9D8mE0uMeh76YUfnakov6qcToaoiOFP0jAZeeBceeepG5Uo8vfekWbn6/If7A5/EOzfHwa27n//rB/8prG+f4yrDHj3/tBzn7qRMELaF22jD3mTxTFcZ1Z20UMLh9nrPfGnD4vgvMlXp89dxRvK9UqJ6x9A8L3/Kyz/CvTn5sfEpvvnQP7/qjbyFsCuEKVC5qwuUMHXu0bvbp3mx503d+C7/63/6CuS8b6l9eRrRm5WnzXHiO4N/SYTgIiB6MmfuKJmpmmFCRVj3SkkzEvTqMB1lZyMpgPfC7UL5kiBczVGoJF7rI6QvoZnMstCYNV1Bly8s2Kqiyy0VS9juFUd+cfW3UC+ndK+NlP/M9vPefvf/yDQ84xTzsXwqjvjmFUS+4YahKBTl1nPRIDRMoguYAdeYiemHhCRdmWrAzCqO+OYWe+hOQd5/59Rs9hFWMQbRBpQYZ6elcJ/bUPBQU7BLFSv0JyPzxWRYf372ycPuVYh72L8VKfXMORkjjQUIEVa2iZhrYOFzdKFte2bWNspNPPl4YM4p5KDiY7GujLp6HV2+sJlYkyc59scpzioR5kojNwx93bEDzcEIVRU40TBuXpTktfGyrttbmFexTpz+Sacgyl8G5U9af2zDFDBJe9eZX8MZv//m147nvHs68qE7/nj7WCPHXYo58NqV0poNVCht5GF+5m06SuUSbfrI2ZDTLXMhoGLqkG6VcdEcYYH0F2qKW25iFRRfZM9JXD0M3D1vMvQQhql5FymXw1nkNrYVh6sI+9cbEms36fdWbX8Hf+a5fQjVqLvJIBNsfOHnlfHxbXdORnLME/tV9BwsKdpF97X5plE/Y5935aidilet5jFQTt4uKY9SheZfMI+LifpeWMZ3Ojn6cG2KPe5snlOxaotLlzq1SQR2aw1bLTqSr3RsnKq0ZTxDy6M89m6+8/l+tef2vfPbl9P78MMaHrGrJyhY8S7CsqJyF0oJBZRC0M8LlBBlk2MgjbcSkdQ/jC2lJMawLWQm8Icw8mFL57Gmyx8+vaso0qpvL9OZ4Mw3MHafon6igo7VP3aIhbGUEK24Ma96z1hWpXmxOLZTtzc5i7jxF70QJ6wmlCwnBQ4+Tnb+wKqc8mxfKHiR5Uptb3XuNOjI3iynHSJohK+1CJ+Y6UbhfNmdfG/W6mrfPC17sChpfjZreRMq2Kpdd/HC0sYjDGkbGornssjl3YNTHx1S5+JU1m6oViu/nCSV1twoe5DrtuYHyajVkJJCVZthWe9VVM1IcHJ1btYLUa/zkP3oFv/Z3f3dNW+/QPOamYwznY0yoSGY8+vOKrAxBG2YeTik/cAl6fdd3lq1WfdKjwiR5QRJPrcoYjCpPjc4zf1rA6B0Z9XFyV+BP12PXGqunb7JOLWgC/PSvv45/8fq3u2StvBKTHZ3XelmGaddp/XuFouN1ozDqm7PP3S8K1ag5HY5B4vTLd/ijkijCm51xq1mlnBa6UlhPXNblMEUGQydmtQ47GIzL4Fljsb0+avRDNwYbBnjzc7kWe4rt98fGdlyEwlOQa6+PnjIkilCl2JV8k9wo9vMnEGOgFOPlLhU8D5KhyxzUGpsMV101ubiWzbNNMWWsp3jgLx93/npTGevaMEzhS18jSIdIEFK+7SaiO+dIZjyCriE+18acv7iteqx2u/pXIw16YxClsEni3BdTL5Ry2bpx5M5lmLo5u4pV8QOfeshdmyTZ/AnP2s1dcVu9V1Bwg9jXRh3fh6OH8nJ2HbfKSnZm1FW5jD51mP7xMsYXgq4mWE5QvRQyjbS723uknqIbow7NY+cazoi3exitsZlTKJRKBWbrrupQP0EtNdFDdwxVip22ea6RblfamAsXsVnm0sTn51z1JdhY/PoyT15iLP/jPZ90/uNKCUbp5r0BarGJzlInAnZpibIxlKPQGfzlNma4u24Fm2Xo5RVYXrlsWwl8VL2Gnam5FXK3j1h7VUb9D3/jA1f82YKCvcr+dr/InH2u953uH1Mer7fFetVDY1cfpa+m37zvcc3Sy9UznXx/q/cm3hfPc5uH9dr4BsByG9NsTl9B5p97X/O3eOnsj218f/Ip53JjuBHscg3Y9628k5c2XnWVgyq4ERTul83Z/0b9Wsapi7hSbeWSM/pZhu32xposEkVOBjUMXPRDr3dFLqCrQcWxK+Y8EvgCxtd0Qsp2klI1pt9ZqysjQYiqlCCK2IDWTgyq37/xhn0XmTYPBfuDwqhvzv52v1xjxPOcQZ+pu2LSg6FbyedGUkWR21Qtx84F5ClX+GHkEbgOxt0MBjC6yQThajFp33MuFa2dW2fCGD/jr97Dx97/6bXnGgZOPKta2rgROUxdebuR4uMBYdo8FBTsdwqjvgU2y5z29OLSxIurxlG3WjCqfeoHqLkZ5OaTeLmf3DZXdj1MccvxpkP0hYtw8dLU8Y54yWtetMGYmc2qHm3Rz35n2jwUFOx3CvfLbjFy1WwS0XKtUOUyUqkgYeA2int9TLe3u08JysOrVsZuKJskTld+N6WBCwp2QOF+2ZxC0Gu3sBbT66GbTfTCInp55ZobdJfxGCCVkkueqlWQKHTx71vwc7+z/aLT4NxQlGJsrYKtll325YQPf7+y03koKNgPFO6X/Yy12w4JnORjf7Azl8PYrXPh4o4+t9fZ6TwUFOwHCvfLbjFyUeSl70hTTLszvfTdHkSiCFWrIrEraGz7fUyrg02HLqu1WnGx9Uo5/ZN2e1vul3G/pZJL1un2MO325TdcR8Jmo6eCNMV0ezuWb9i032plX16nAkfhftmcJ95KfbKOp6dWK7mPUt3XkycMjT87GdOu9ThtXJRA4EMcOT0XTyFZhhr1O9F2V5msSg9rU9w34Y/N7/Id6uVrXhPfRypll1kLiO+htMb08/mKYxcLrxQS+EgUojJXQ3VNRft1iOchUYSNw1z8Kx2Hh26JKJe6H0dOd8VTrki4KLBXsV8w6jcK+e8P/1P+2m0/gwy2+BlMzu/ou1JIARTsYZ5wK3UVx8htN9G7dYasovASS7ic4rcTyNZKAYyFwhaWsOlwuvjXwhKm2914nFHmZ73i+tqi7RUzWUw6jpxUwHILs7i049DDSfEv6+ULoHw6JM1gacUlNWmNd+dtrDzzCO2bFKJh5sGM6mfPkJ09t3vntgfYIOiVbFGkvOC6UqzUN+cJt1I3SYI6c55Ks+Uevz2FjUJsGGzcNl73uzXDFBYWYcUJTtk0da9dJRJFqHodKcfTxaq2IhlimytOzEtrpzEzRX52km/7wRfwwf/44TWvmf4ALlyCpQBZN4Zxv/mNwp67wEw/oVEp5eqP3bFy4a4xKpRdq7onoDTDtju7WiD8237wBXzovZ9Yld5VCluK0NUIE/muIlOzBwvLSJK4eUiSwqAX7GmecEYda9dotIwMqqo6satJJNPYNF0tsWY0ZqDHyT5bHkZr7HCI9DxnqJPpWt9jlLhwwctErqwZn7FYYzCd7o4ibZ733fdtMOo7OTfT7e7uE8c0RLk5yTXZRRv376t1v0zwvO++jw/9l0/mx3LHsb7CBh4mVKghoA32cjH8BQV7iCec+6WgoGD/U7hfNqeIU38C8pb3velGD2FPUMxDwUGkMOpPQArJWUcxDwUHkWtm1EUkFpFPiMjnReR+EfmF/PXbROTjIvKgiPwnEQnz16P83w/m7996rcb2ROfzH7r/Rg9hT1DMQ8FB5Fqu1BPg2621zwDuBV4sIs8DfgX459baO4Em8Oq8/auBZv76P8/bFVwD3n327Td6CHuCYh4KDiLXZaNURMrAh4E3AH8AHLPWZiLyfODnrbXfJSJ/lP//R0XEB84Dh+0WA2z4h+3zG3/dFbUYJJtWcl9T9R22bFvgkCBE4mhcu3NT1tcd9X1Uo45UXSw/gwTTahfRIwW7SrFRujnXNKRRRDzg08CdwNuAh4Bla+0oM+YMcDL//5PAaYDc4K8A88DCpgcIA+zJo4jWqFYXFpempq6rchmZn3W658agltvYpea1F9zao7zkNS/a2p+sXEUl5mawpSkFuCdytMQY1Eonn3uNKpexNx2je6qKCYV4cUj40MU9WWDjsvNQULAPuaZG3VqrgXtFZAb4PeDuq+1TRF4LvBYgpoz9y4ed1G2thjpxzKWwD1Pscgu90gKj0e020utNrfo+Ljxdy7NEe4O1NT8nUHGMGrUFpNvHNJcxvZ5boc40XGm5wEeSIXZ5xY3hWhmzUYLO3Aw22mh8ZZBruucx+V6jjsw0uOuFz+SP/vyRDW3N0vI4fn9TjGtLc8XFx69LndftNnL/g5Qf8N1KXWuyYbrrc6AqFdTc6o2aVgeztLyjmqVPfvYdhVEvOHBcl+Qja+2yiHwQeD4wIyJ+vlo/BZzNm50FbgLO5O6XBrA4pa+3A28HF6du0yE2E1SuzyG+77Ifh8PVpKGtqr5rjR0MXBalcpWLpFLBK+cCVP3B2LUAON2SwMeKgLUoZpzO+ChZpj9AEuUMTRThzc85vZEwgCh0Bj/NsK02ZnnFFaL2faRUcm3WZ5Rqg02S6Svd0Xl1+y6VXymnsRIGWJH8tdX+7DCFbp9f+9v/gfXPrTZJnC4LudTukXk6T54laXiozBJ0DUFbo7TBXxZkpZPP8ZQxpcPpxlV57sbSqLmbkNbIYIhN8ms1TJ0GfTp0wltR5ITAPOXmod8fu82cdnwPMcZdw/5g9XqvQ4IQVYpd2cEJfu3/eS/+saNjfRlYEvZGkwAAIABJREFUe6MuKNiPXDOjLiKHgTQ36CXgO3Cbnx8EXga8G/hR4H35R/5b/u+P5u//6Vb+9DVY6zIcryDLcX1Fe69edyvfSsmVqFtpY9MMOzLq1oIxiFLOeIYBUINMIytTdGLmGljPI6tFDGdCdKzwBobS6RjpD5xRD0NUoz7WlFlDmiEr7U1LyZleD3IDNFnOTgJ/rcHN9d7p9/nVP3kzb3zhL2w0yCLuaSWOSE7UWXyKT/+4xusryud9Ko87rZzYQLg4xS2zGcpDlBMG4/hhurc2GNY9vMQSNVOCZh9JNdIbIIvN3Kgrl7o/24AohGSINAWGKViXrq+HEzeOLb4qqhSvXtMJ/vE7Xs0bf/y3SWdi0poTaYsvJgRaF0a9YN9yzTZKReTpwG8DHi7K5j3W2reIyO04gz4HfBb4YWttIiIx8O+BZwJLwCuttQ9vdYxrllGqvNX/t2atwVhf0X6SLdrKKMV9M7W/nfS7Fev7GR1DxK2SZ2d42rfczRc+8jXnQsmfFlS57NwZtVwDxVfY0Md6giQab6nl3BtDV6fVZttzqfjHjpLedozkUISOhO4xj+4JS1Y1xJc8jnwmpfyxh5xI1uXmeuJ9Vauh5mac+0UbpNVBN5c33yeZMr9P/9an8MW/+MrqdYFrp6ZZsKsUG6Wbc81W6tbaL/z/7L15uGxZXd/9+a091K75DHee+t5uugFBaZpBJsEBNQanmEjUAEJQMCEEoiYq8XkFo6+8RlQUjaCioIhxiqhBjUbUIEKAZh4auvv2nYcz1Km59rTW+8faVaemM917bnefe+v7PPXcc6tWrb32XrvWXuu7fr/vFztAj7//IPD0Ke/3gG8ff/8RwWaCTcZsX3tkqOwGzMC11Xst9RiD6YXQaHLh46ehVsd0ewPxLxMnmFYL4hgRGaFnTJKgO91r2uzU7Q7epRpOswCuIr+Uo3zOI/UFrxVTeLCGbrWnX/NNromJIkyjBb0QtEH3elZ2eCNMqevC58/fVEbaM8wAt6Kg1y0M3etBr8cvfOKn+I5jrxz5zMQR6dr2Nxm3fcwh8TSwS7ZhEuRaH2MmDEmvM3rplz78xonrMMMMex0zQa8ZZphhz2FGv2yMmfbLLYh/8f3f+Eg34VGB2XWY4WbEbFC/BbF4ZOGRbsKjArPrMMPNiBn9MsMMM+w5zOiXjbGnN0rF93APHduynOmFmGYT3etZp6OTx+menCMpOvj1hNyZVfSZC5MJM8rBKRVtvPS4Boqj0HMlwgMF4pLDONyOJrfUwVltQTLui2fddNJGC3SKKpeRQ/tJ54sYV5EGLknBQfuCpAa3q3E6CZIanGaIXFkhXV6ejERRDk6lhBSLNiwxijDN1kTM9S99+P/jVU8b1RKXXA5VLg2SfUw+hy7m0J6DcYSk6JLmFdoRmsccGl8Sc+jEKvNBlxce/ggvrVwd1PXRMOJ/1J/CalykEQeshgU6sU+YOqw2ikS1wCZozUc8764v8t37/4HjboM7vNJIm/64XeIH/uxFVO8ToqrQPpWwcHSNci7iQKHJ48uXOeGvEKiYRafFIadBQSV0tMvltMLVpExT5/ntM0+n/v6DLNyXYpTQmxPCeeH3X/1dfPNvv4v0SMiBfQ1EDJfPLlD5rEf5fErrqMOzXnwvv3z0g4M2femHvouFt5fILY9u0qo4xVmqo68soXs93MOH6H7pMRrHPRAoXUgofvoSybnzE/eKeD6qkl17wPR66GZr5zIW2+z/GW5u7OlBHbGDz6YwBtEao7J4ccdBl3KE8y5RWdCOi7+UG8m8HIGXOdp7k4N6UvLpzbtElcnvejnB6eVQ3XhiUJckhTBElGC0FRwzhRxxxUd7iqSgiEoK7YOk4LUVvidIVo235k+1dRMl9uGT860FHGCczE7PGJsE5Di8+dVvR3I5GwLYl0twHMTzbEaqUuhijqTsk+YctCvEJUVcELQHncOGx955kZce/QC3+1d5em40U/MpOZ+nHPgUsUmp6R4PJT5LaZlmmudjndv4+Ooxar08T1i8zM8e/UvmnQIwOqADfGuxxY/fUaNbXyRcTLn9MZf5l0c/wlFvlS/xljnljX8nl73AioTaQXHRafEjZ76dzoq1C+ztg3B/yn/6v3+Bc3uLZx4/w9cvfAYHzW/mnsUDtRO4PUXniOEXj3yAYZbyJXd+iN9f/DpUPJp85YQpqpmzWckAOXtvdA8KRoHbdSgE0xO2xFHr117EGp6LsNM19Jb9P8MtgRn9cqtABGduDhbnOPLYI1y8/wqsNdArq9ceqz2e/Zpp62yJ/j03zWR7g2SjDY+5XUy5z4/eeZgLX7w0WufULNst2jTDw44Z/bIx9vRMXXwf99htls5otdH1xtYDVJ9SqZTtLDyKrTRsq7UxnVEqbV32YULfKFuylHfT7qIbja2X6pnhtoQhP/7e7+d7nv6jSBDgHD08MMbWjebODKUndF92GHU+7RpuVccuXvef+NMf5mWPe83mde5WUtgMMzxM2NODOgLGUYgxm6fZj0OJ5Y0dhShlxbymVa8EPB9TzGNyLtJ1kF5ve472IojrrWu4p+l0AawdwgqPZeJjxmxMG/Xb4PtWoGsIL7/7h9Z10pWy107doEAo5VjlTGdy3wGtrTDXtAdxX9CrWLCyDTrFtDvXpoM/3AYR2yeuy/d8xU/g7FuEJLFU1JR6TZxsWxLhmjHWT7t1r+x1iOva+1Spze+VGUawpwd1E0ak95/e2Zd0OiLgdaOg8nnU4oIV6QJUq4NeXt3ZTHgK+lmh22pDoYDat4ApFTDO+uD/ou/7Kt715r/CrDXQ5y7c0B+KKhZQi/PoUmEigFZ6MbK6Rrq6NiETIL6P3HaM7ql5orLCb2ryp2vIQ+d2vIHolIrI4jy6mMd4DnE1R1R1eel3PZt3/PY/4K/FuM3QKmsOtyFOUWvrIm03ClPvlaWVW3uDUzmouarV9A+8Te+VGUaxpwd1yfk4J04hqba7/PXmrv74TJKgazWk2bTRBNlsYTs3le52MZevIiv2Euv+7Os6oYLA3uyFPv3SsaJcUwY63elgLid2Bug4qGIBU5nckLyR0O0OJoqmztQ3u54mijBnzpO/ukLede1sutu9pmuYttpIGCKOg3JdcgtzeHMl/EbML//im3mCn5/4zgue/gL08go61XamfgNxo+6VRwNUoYCqViAfWP2hVna/bvU71Sl6rY602jv+7d3q2NODOgYk1XaGZcz2NunIrNp8b31ZF8XTbzIRJJ9HFQvgOJkeeXu6il+fbunXO16V1pjt0DZbQSkb3ZBF/UhsB+2pC3VjMGFoPxOrNY/W/PavvG9CTx3loHwPvCySJY7RUXz9PyKdYsJ0e5EcY20wUYReW5tOQygHFeSsvn1WdkPKYrgNyrGyoUnKu//fP+WLT38qb9g/aUBtWq2pLlo3BGMa9OK6qHzenlv//tyAAhLXtZLG08reqD7dCbTGaG1173fwGwVmdMs1Yk8P6iaKSE6f2dF3+g5FzFfssq4b2WVdrT5xs6t8Hjl+mPbJKklB4TdSggdXkCkx7eI4Vst8rrIe/piN7ZIapNWBXaBfANDXwLUOycv++h+/hu/5hjeNfKzyAWr/IrpUQIxB6i3YwAHqRmGYqunb5OkNLAqHKZV+2XR5ZWtqRqekjQY0GvzG59/Myx73Gr6eu6cUvLH03IYQQZXLsDiHCXL2ob3WmO7qtFHZLKJJ5YMB/QYgfcvHh7FPd0IXzrA7uOVCGiWXQ912jPD4HHHJwW/Y5KP03EVMEuMeOkhyfD/RQoCKNf5yB3W1hul2IXMoMlm8sbQ66Hpj/UeSxYGjxBozzFXtJquI3cxN7AxfknTE+Wi0gZlFXbWCydsfqmm21suKDOgUYFP9b2dxAX3iMNF+Sy/4S13UxSUO78tz6WIDjhwgPFhC+wqjwCjBOFlsfCux5hXdaODU1H/wqULB2voVgokQQ4liTL05sBLctC8831oAlot207oXYVpte62VQopFpFSwblHj9WYroxEd9B3O6gYhjRtBOTjzYxaF9caNtSjMjtu/j4CRfIIdld3BvbLXMAtp3Bh7eqa+IbKlubWHyzLrwtD+6NMUaXfxV3I4HQ+nE0Gnu64rHkU47QjPUag4RdXb1t6s17ODkDGDaBsTx4PvAXaZn/2gtDYox0GSFHGUnb37HsZVECtLhUyL1ulb1EWRpUi0tXkz/dm5KLuJ6PcpitjqpG9A64gxVm88p1h5coX2C6rkHrOf0w8tUTprqJyJ8OrRxHdUN0baPSTMlvKuizNftasEx9JW0otAyei5gX34ZYlVm8JoSBLraqSUzfztdu21dl3U/BzpQok07+F0Y5w4QZpNW29GWewYWaSJyuUoHT2Autyyx92orjiBXmgTxuJ4c8323cLQfbSjsv2IIb9o6cIksed2DRLF4vlIkLP3aZqiw/DhjcjpT276ocf9iUWzeVM8lG4kbspBXfmenUlWS/ZGb3fRKzVMs4lJEpILF+HCRQTQ2auPdGUVVlZtNh4w/BM2cWQ/3wZGyvZdhwZGyZvflMMWdRPnlg/WHYoA1exsuKQ2vRC10iCIU6L9RVael/Lg174dWfwfmJV/xuP/4cXs+4kE/YnPTbZh6G/xfJzFecyBRYzjoNpdTG3NzlhF2cF+YQ7UDizuyKwEazWo1SY/dBxMMU+4L09ccvBaLvlmz846r4NnFcdBVSowX+E1b3kZr/7WNyO1+lT6bZiq2QsQ10PNVTFVu7JQnR5mtUZa32FIpgiqUoL5qqV1ohhVa6BrtYeN4xbfh0P76Zyaz/o/JX86QMJre0jdStjT9Es1f9g88+RLJ94fGDs3W+vWcbudCSiCKpWspVqQgzSFemvjnf3+UliUjZkul6BsZ1QSRpjVtamzkMEewFxlvWyzZd2C0tTO4Dea1WWx+5IZcqv5OfTiHLrgocIEtVwnvbq8vRlv5jOKKEstVSv2AWWMNWtuNLMVg961Jf4gTtlxBvRKf1BRxaJ9uBUCu5pptKbzzlMrXu+L3WzvowJD/XRd5/YouEab9f+MftkYe3umnmq7ATkGE8XWqm23l4vKhgXaCBcHCXKYTBdGlCDOJgk8fVoFwGhLrTgOJmeXtwyF/Ekuh8oHVsdDlK23bXlmE4aYdmd7s5UsG9LoLDzz0mW4dJlX/sxLeOsPvpPtxyGQLfOzP5WgOh0kOx/T7drXLs/iNot+MEmC6XRsVEWaYrq97UdWZH3Rvw43FYb66bowfL8+QphFv1wb9vSgbuLYUik3GtlmoApyqGplYM6s+5uEium+bP1ZE2w+ox47lsoHSH8jMk6g0SJdrY3GLm+mV7IFVi4OUUgbaalsUuduWMltGxuc59Q2iKyX38Y12fA63Cyz9hluSexp+uVGC3qNUB++Z6Mz6g10owVG26SKPu+YpkitQbpSw8SRjTw5dYTeQRv9Elzt4py+TLq0ZOtdXLDhjzkX6YSwskY6HJOt7Mxd+RlPWi7aDaNhZCuVjcL+Nj03z7chmNUyuGOJQddR764hizxhvgq+B1EMG3HfY2X7/TS17PhhgsDuv1RKoARpddGrtd0JPZ3hhmFGv2yMPT1Tv9EwaYrpdNepEkA8D2dx3hbI+VbadNp3uz2cyzUKncjyk63OYDPTpCmm1bYPgmzjz3S7ozPEfhRNBDRbluqYlpXZ7e14ifq759/Kd5z4t7YNeop+jDbr0UIPI8TzUaWiHZizmbNpZoNrkmxMsRiN6fbsd/pRH+3OlnTM755/K9958lW2bJLaSJ4wtElmM8ywR7G3Z+pq0Twj9w32P+NxykMCX4ONo2niV9pmufVDBsVxLIc9ZQCVfIBUyuhyfl2jOrt+EqdIox/+GE4ec+g4m30GjG7q9sWefN9qbKfpyIDbz44Vx8EYM5pZOSam1ReKWjw0x8qlKREnG4iiieNYjj9ndefF82wIo+fac0i1DfkzxmYQdnqYXm9dhGksdrp/DOV7SLWCFAsY18HkfdJSjjRwwIDXjFBrbWTaIKvN+vXPHr6608Ekid1gy+eRILDt7dMy/QziOMaEEQsHKtSWmpAPbLQFDLIy0al9uEWR3aNJp8z4t9p8H76e17NRv5lY3Xi942UfDWn1u3UdhjCbqW+MPT1T19UC7a+5GyfU5C+0UQ+eJ200kFwOZ98iplLEOA665BPN5UjyivH8eCfU+GsxTtPSDOGBIs3jPuG8jJY14ETgNQ1eR6NScNspfj1CdSKM42DmK8hcGQfQeY+4miMuOxgRvHaKXwtxOhHGc0iqOaKKh/YEp6fx1yKcVogkGmlm1Eeng7NvH82vuJ2luxVxxVC4oDj0jx2cD38OESF52uO5/Mw87aMaf01x4GMJpfc/QLq8gnviKI0nH6ZxwkE0VE8nlD5+gaN3VCcG9UE0SbkwwbN3j1e48JUup552jjsrS7xq//t4vF/YsF/+xQPP51N/+0SCVaF4STP3iRXS+x6017tPk+R8lp6+wJf/23t5y9H/teO+7+iI00nK5bTERzq387a//hrufGcTPvYZ5Al3cvqfz/GY5z7EiWKNg36DU7mrHHLrPBTv59cefDZrn9jHkepx7ovP8vxnfYI3HXkfJRXwv7sOv375uXxm6RCtVkD+U3kOfjgkd6U12gBjbD9tQNWoIEDtWxxcz+E+3QkGVF21PEm/GWMnElnm7wil5rlIp7ceevoITd5UsWizWov5QXu3lfk7wzVjbw/qHrQPKpyewm0H+P2EnDixYkBZEot4+4lLiu6iQjT4DUNQS6xbTTfBWetAvQnaEIQJKq0QrbpICk4vxe3aWZtKNBLGSJjJtDrKRqQ4MpAEMNmTQHVjcu2QXDb71oUcacknqvoYR9CeIvUzVxyNHdCvrEKSoKN4fVPUaJyexm07GAWioXswR/HJj8UAUdUjVzOoWKFCrEvR447j9A4T51y8dsrcgwajAIHW3Ud50U/+S77/P/wOufNrmLMX0L0eJgztNet0Jgb1fBRzKNjH5SsnOFc4wXsPPJnFO1a5e/8FlGiWeiWWuyW6scdqrUjhE3mOfjLCa0Q4jR5cXRlQIbrVRqUpuC777lX846/dw+1PvBtTSCFUuC0HFYKMjUHaBZ0z6JzJrq/CawpuD5wunPhijLq4RArIxWWOvS/PldMnueSfRLuC9m0dKob8kub4pYjX/vTTefBHT/ORz97N0w49GeOA14bcqqHQNpQjQ+FyB+/8iqVohmGM7acNBicrBreGdLu2/cN9ugOYNMU0W3a1Mh5d1W9DVq9J4pGyJorR3d71D+h9D4JCfnIFq7VNGGu1p9J1JgzRq2tWmAvQvfDhSeC6hbGn6ZfCgePmzhd+P05oqD4UEXz2Auny6mhcrXJw7riN5hP30z6kUAnklzWFS11UJ0J6MdSbmHoDY4zldIc3PzeRXlXl8nqc+hgkjDBr9UGCjnvkEPFt+4nmPIzYVYDJfh9+PcE/V8NcvGL1u9N0sGx25qrETzxF7bF5kqLghAavZfC6xvLhxqb1izEYJaS+oD3BCHhdTW4lxm30MErRO1ygddTa+Hktw8J9PbzPnEXXm5vGIg9mgNlmbVoOCPcFRBUHM7bycUNDcDXEW2ohsc3gNb1wPWEo470tlaQxvSz0NOP2+5rnKIUEAVIILE/uKPA9tG/nIaoTIvUmut2xx9hM97wvbDWSLq+zc3ORQkbVwLX7g97EGOn/KYO6NNuktbWH9ZrN6JeNsacH9YosmC9Xzx9k0jFfwfgeEkYwLtKVzT7F9daFt3LZQmXafprKePLd1tPOOHJnfg4zX8F4zkgbpL+kzpbqg2zOhep62X6faVDNttVp73RwFhcIn3SS1cflSIrgrxnK5xLyl9pgDEklIJrz+IFXfx3/9b/9Fbm1GHcttLrhg+zDLZbqIjiPOUX9yQdoHleDB1MfUdXAY9o867bTVL0uH1k6wcUv7Kdw0fLkSdEQlwwmZ/DWFHP3wdznW6heTFrMEc35JAVFXFSsfCnc9uQL3LNwjntXj3PmY0dZ+DT47dEOc0JD/nwbdfq81cofa6979AjRHQfo7vNRqcFrpHj1Hq/9oRfwxne8j8tP95AvaeK6KfEn5zjxl23kg59+dPDRM0zFbFDfGHuafhHfwz1yzM7y4hizUhtEc4jn4R49PDWygzjGLK/asr5nN+ryOSu8FUZIs40JI6t5EUXT9bRFcBYX4OA+kkowyb+3LZ2SLq2MDg7ZZmZaW0N1upM640ajoxjds7Mek8QZLbJFWWPQ9SbBZy9w+HL2ABjayEWDt9zCu5Rw9n1foHLvRQgjTBzb80x1lhG6xUPeGFhrUn6wgN+wQmFOL8Vtx0icon2HaCHgC5UnoB3wOpo7ViOcVkYReArtO+AIKkxxVttQa0CS4LouXs4H18F4LtX7y3Q/cJj3B0dwe4bbr3Rwl5p2U3akTzM7w9aUMERj0Ks1/CTBP2ONoY3rgOfyhc9dJLjS5dj7UpIP2Zl6brmJc+YK6U4H9D5FUSzYpLE4RjdblkN/uCZOffvFYtGeZ5RlH9/KZhu3IPb0oI4oTM63qoe9EN1oYeLIZmTOVSE3qW0+tSwMoiSk07Nendv4IYjnkRR94oo3mbwi4NU20ELJdM63lcBjzLblS00ckWRZozAUg535mUqrQ1pb409/6ve2Pu5mx2m3cS6tkq9bmQCabfRa3VrNAX72GvnO0N/DPbLZ0ClfhPHt2GuZO+tOZ0RJ06lWkGqZv3jXP+KEEer+Bs7QCuWa5+eeC0EO49qkM+lMD3e9URAl9oHie7YNYENu+5FaM9wS2Pv0yw1MPrpZ8Z76O/mW6kse6WY84phdh72LGf2yMfb0oF7NHTLPOvaiyQ8iGwVwq8l0iuuiymWkVLRZor3QrjrGQu7ypYBu69ozRVVgBb2kb1HW7uy6leCNggoC5I7baN9exd2fI73So3B/Df3g2T3R/hksZoP6xtjb9IujbCKQBknTdROKcTu58SScoUiJkUQVgDhCt7tTf+ATZcMQ3e1trMrYd4gf11cxZjRaYwdu8uK6qELBJgL125Al3SAKyfmYUh7jOIjroIwZJN2I54Lr8uR/8iQ+9Ocfx3R76H4m6/A1Gje+8FykXMaU8lbzJu8Rl32SwAEFqZ+FZzqgEvDaKW4nRbTBacc2gajVYXwCIZLRBa4DSpHOF+kdLAyialSKdY0a28gWY2zE0OUmUstkcYMcJuPj0RqSdJJ7B3Qxz9oT5qg9VvEVTz7O//n4Q5QO7Kd8vIoTa7SjMK5glFiTlKU2cmkF0+lMKAXestjk93SrQESOA+8EDmLZxbcZY94sIgvAfwdOAg8BLzTG1MSmSL8Z+KdAB3ipMebeG9G2vT2oZxCtN01qmLA+qzWsQFYYoqoV9O1HaR/Nox0hfyXEf+Cy5abHoKoV0juO0jlaAIH8lRDvgUskl69Mlh1yiDfO2CAZp7YNmU7MTtzk1fw8yZ1H6B4KwED+cg/3/oukS0tjBcHkfUzeB+ZBhDiLfvna13wd71ttUjjTQJ0+h+50RqzPxtsbLRRY+ZKA5h2atDA6wkoh4cV3f2DE57Ole7yjcSdnw0X++vxddD58mPkvaCQd/dFrTwgrQlyyceTy1Dp/87Sf54BTnDjvcfx87SRv+Yt/woEPL6Id6BxSdA5r0qJGoiyGvS0TD4Q0gPCOHk+/4yF+4AnP4cCp3xp85ojmsLfGnbnLHHJafLh3G2/4wDdz7E+rlB6ob2p9eCthwnaw0bYm3beWbV0C/IAx5l4RKQMfFZG/Al4K/G9jzBtF5IeBHwZ+CPgG4M7s9eXAf8v+3XXsbfqlcMQ8466X2yzMIY/KgU1aqbBuk9aXq9XaxkcPm/MWC0gu29rLEjZMHK1vqlVKNiXecTCBh+nHSq+14cqyNVIYR9+IejwLEGycdiGPFPK2fbHVKjFZosjwzEcFAXLsMPGhKmngoFKDijSSaiTRqLU25soyutm0h+1rUCtlj1Epowt2ZSG9EOmGgzT4kZn62Gph5FRcq/9uivnJBBilSObyhPM+SV5QCbid9Zm66sQ4ay3MFIlkMp13XLs60NUi4cEiUcW2QTSo2DDuWi3G4DUSvCsNGzmjbNtNkM3U+7IFekpKulLoYh5d8NZDRIdglE0MMwqcWOMtd+DKstUA8j0bWdK/Vzpdu0F8aw1mj4qZ+qONfhGR9wBvyV5faYy5JCKHgb81xjxWRN6a/f3urPx9/XK73Za9PVNPNarRgSyJhWF9DqMt5WCM1frIbNImYLQNcez/f9yizmg7SIh1o5dIILWWdhLF6HQ9Dl5cb6DDguPYcEnXnaRfRDCBj/E9jCMYnUOK+YH1nAqtVydRjBTypHNFonmfJBC8liZoRjirrUzzpLeeqZgl9uBkvpXGQBihdDZdDa0uzA/98st447/+ldHMviwip38dxHWRXM5qyqQpethMY8yl3nkgJgg3CIfM5TDlEpLLbZl9COBlr+3geufKr/vt1/BTL3rzyHvCxtE5Evso10Wyh9BenhBdF3SKCdPxZ+0tCxE5CTwZ+BBwcGigvoylZwCOAueGvnY+e282qA/DRBHJQ2cn348j0uUVWF7Zsg6Vy1mNjkrRDsztLqzU7MxXpzaZJUto6et5kJUdhjjOSFKTDjyi+RxxyZnQm1HJegKMxCnJYp7GiYDuAVswv2Qonw3xVjtozyEp+9YQ2oATaZyVJum5CxMDo7jeelKT44wmFInCqVZgcY4PffQccuzwiPP8aAMdKyu8MIfJ+0iYIKv1gZ3Z+PJbGm2YtvwWwVmYJ7rjEN2DOVRqKJzvoB64YG3sHmF88H9+dEfld3JfzfDowdd/VdGsrO5sCvDRT4afAYZv6LcZY942Xk5ESsAfAq81xjRkaFwwxhiRccGLG4+9Tb8Eh80zT363XWY32wM7s0GcejkbqDs9q544LfZ8yHFdROxGaKW0Hv+exWBIfvozAAAgAElEQVSbOBopC4y4s09opIeJ3RzsdCclYPsWe2mK6W/W+r7VDQcbvRNFVnGwn1afOcZLuUx6aJ5wIYcYyF3tIGcurQ+SQ+7yKh8gpRImbzdVpdOzyShhmEXKlDClwkQsPzCqa6PJHIb0qOaNCDhCWvBJCy6pr3Aijdu04mQkKZK5UBGGA9VD3VdBfAQguRzO0cNEx+eJCy5OqK0aZKtn27vZvXKLYkBnlos2/r3TQ9cbA8rvkcBO6JenPCkwH/rLYzuq3zv8wEeNMU/drIyIeMCfAX9pjPnZ7L0BrTKjX64FRiPdcMAJq2rZDjyOsoNhzw7EuA7q4H4UWA0Rz8X4LkYpVJQNvm2b+SdBgMll1IhvOXFVLdns05FjG0yna00zej0beRLkSCt50pyD24qQetPOkscHsIHr+xiHHcU2A9b3rPGvUgMKxWZ+6kGGrKQG4wjhvjyycDtiDKqX4l1eI7142QopgaUL+k3u9dDdHv8rfBdfl/tX9k3PneSWNUicWEG0KREkg9MAe62jBBXncDzHcv2pxrh24Jc4gW7P7jtkDvHuvsWB8YVpNElb7R0P8gN6yPetbk0/s3ZKPYOoJddG/xglOK2I//2+1/H8Z/8E2ndIF4t2JdTKoZSydJGxWbZ6I2rpVoHREEcQekisbLZ1vJc05w3prnj8rSOLZvl14HP9AT3DnwDfDbwx+/c9Q+//OxH5XewGaf1GDOiwxwd1E8Uk587bDc2FOSvElfOtmFatjs6Wyc7hQ0QnF+gt+mhXiEpCVBa0B17LUD5fJX+hjcRjPKGriPZViKou2uvbpNl/REP+aoj3oEJfWUJ8D1Mq0NsXkBQUuZxDrlVAai4mym6ovva64yDVip3Vj2+kKkjLAVHVI8krVGLwG8lAo8UA0o3JdWNMzqHxmDK1xynCfSlePceBewPKrQ7p0tKGWatfq74d8fr64WZC+0a0tmbSO4xoELKZ8MI8Zq48mc3renBwH91TC0TlzCH+oTzy0DlMuMNBPZ9HLc7bzVutUWtNTFqbWo8qFJDFdZNqWWvCuYt8rfp23Pl59GOO0cmin7y2h5/3UK0SktooJZNFKd2qMEkyQkPuNRhA7/4OwLOBFwOfEpGPZ++9DjuY/56IvBw4A7ww++y92HDG+7EhjS/b7Qb1safpl5GM0iH3c1UtY44dpHeoiFHgr0V4F1bRy5knpcrMnEWtxx5PkQMVz0XNz6HnK5icg+olyFoT3bDLTrV/kejoPHHFRcWG3JU2cnEZ0+mg5qqkRxbp7bORJ8FSF/XQJcvJjrV3An21wj6yiJ1pEN9Dgpy1vxuPaNkAX/Wdz+F9737/qPP8MPqGHddKkYx7sw4ZI2zmEL8jZMYL2/KA3aDsV33nc/i799yL2r+InivZlVurC6trA8vC67oOM9ww7IR+uedJOfN//uLQjuovHTm7Jf3yaMWenqmPYMj93HS6qFqTwBj7Qw1j0AYpFCb5bYAomj4Ty5b1Eic2JCKKLYWRWaWJ6+K5Dk4rsLO61SZpo5GFVbpIt4Lbs1K7EqeWPpnS3qmns93TjiPYwE9zQDtkIXgmjDDdLs94wVPsoL5d53llnY8kyNkBMkk2TNACNq1315J3jAGzzfZvUPYZL3gKf/v7H8TUG6jQUnUmimx0zi08M7/ZYDCke3jyulPcPIM6DCJSdLeLPnPOLn4AKjaSg/3zk+GFYYSsKSRJ1kMZt3MDGGM3J9fW7H8BPex23wtRa038NGXgfLOZgNeUrNPrhfh+ZlpdsDHvzQ5aa37qxb+wtcjT0OxWcjnUwjx6vpRF1YSotQam2bKriCwUczCz3Y7NG5kMcjHL0O2vTPrXof/Qi+LBhvJgYxoGx+tjXAvehpKqQSy8+L7NXh3CT/+H30FVK5aPr9l+HDnGWHv77Zph7+EG0C+PWtwcg/oWbvJpowHN5lSqQ+UD1FwVdcfJnbnJZ5t+sjBnudokhXpzEIGjez30hYtsx5tRFQrrVnKwbpN2nREYutOxVIwoG3JZKaEO7ucNv/ZyXv/K34C15iBMceTUXBfn+FHCk4tEVZfUE6KyspmfLqQ5SEr7SXMGSYVg2drW+S2N20oJzq6hz5yfzO7N+kmqFUzgc/VZi3zbv/8bXrfvvg3P4fdaVf546R7ONue58OA+imdcnB64XYPfNHhdjQoN+Yst5PQF0kYD99BBOk86Tv12j7go9O7p8JvPeDvPDsY4/rm3srTyIr7p0y+h/v6D+A0on0+pfOIKyekz9prNVWGusn5f1eqka2uzwX0PwQC3UlT9nh7UJR+g7nqc3ejrZ0s223Yz0fNwD+wDLO2w4ZI6m0njKIxSkLezUlUuDYqYtYaN9Oi71OvsO8o69BiloOCiF4qkjz+GccRqjK+2bQy31pDzrWa759gM2NX6QCZAfA9TLRHtt+nxnuMg7Q50OuvUR6Fg9wE8z9YTeOsmGX1JgfGyw3AcTKVIPF/gT/760yT7y3hJCo3GuitR/3y1gSjGbdkIh6jqEs4J7eMaHejMSk4RNARJwWvbrM/UE5SnBtFHth98VKm4nrEL9hq2Oyx8Js9v/cHX8Mdf/mUcKjUJnJiq16PohtTjPP949iTmiyX8mrWtO7ysCZZDVGJQUYoKEyRM1x2qsoeIbnfIP7SG2y6hcw6NlTwvPfcq0sMhw2HDX3N0mb/6wn8guOQS1KzZhtPTgyQ2kxlaS//6AZLzcQ8esCuHMNychtoNjPWpiWMroHarZbFeJ2Yz9T2CNKdon6qgIkP+osDVlXXj6YV5TKVkZ9+dHipN0X16YBj9zMtU2x+v56J9b8T5SG8U/aCNjaZIU7Tn0NsX0DrikAaC1zSUL7jkLjtIakiLPnFmfu30NHkRpGk13XFd0qJPVLXd4fR8nIwqECV2L2CujPHczNA6ICk6iDYEVz1UL0SiaD32vFKyRhBgHzgKELFtqPh8+IHzJAUX1/cGg+8IjMZ0ujjLDVQ7B6YE4qIrCV4xIonzBMtQvpBO6Lk4kY1n72/Ai+8hpaIVA9PGho+u1dHdHrK0wokP2hVMCITAenxFk9v41Kb9b5i+96CbTbivibrPnvpC9hrH1dLneHy+TPSE4zRP5NBZghf9e8QY+7DMVkwqCJDFhSy231JqEsU3dFAf73/pZJnTt3qY5Q5g4Jbi1Pd+9IvzdfY/0+iNjBd2KiVkPqNJxhFGsNawCUba2LIL8+hCsKVH6eAYg7/VejTJML889PkAQ+1VhYKNwChngl59i7phCmjsOMCAUmG+avVI4mSdAkpiVKlkPVRLGa3T6qBX1/gf53+Jb5l/2ba57z5905/99zn0Ce55yrkN1zWgMzKajCiGWp10de0RiTB5T/2dfPM3vIkvviTHjzzvzzjkrvGfPvbPOfhbeYL/+dHNo2ng4R1UZ7z+CHYS/fKkJ/nmz9+7b0f1Hz12aRb98khAPA/34MEJTRFxXbvkz+cHsrOm1YFma7KSJLECXhkFodtdlDaI70Gq0WG48eAFoz+wTaIxVBAgpaJNasmW9f2kGxNFo47rwy71meCYKhYmTX/B1lW34Xd28FU4Ge2E59pEKpGBrgxpun1jiP65mRSjU8z15JsY+xDQzRYqSeymZZJkFnq7mxiyXXxL9SV4R49w4s+O8cuf/Va0C4vnUoqfu7p5ssojMajOBvJrhsHMOPU9A0fZWai24l20u9n7js0MLRUGMgFmilnEAMpZT8YxenNzjX4aPv2Iiy1mu7CugFgsYAI7qJNqpNOxX8+4eumN1Uu2/M759lwmPEqN9VNtNtG9nn2Yzc/DWFmJE9vGJAGt+aff+3ze+6t/vXmbtzqfoRh7k6bbm2mP2/hlImiqUFj/PE0H9Me26x1vk9Gj0TBj7RVHgePwDS97Hn/+9r8l/xdXCYb2FWZR6TcZDKS3zpi+twd10wtJ77t/8v0wtBrnk5LoE+iLdA0EvVqdSerjGsqONsjYCJxpEr1k9Mvigo1+EUEabfTK6sD8YrsiUiZJrK76uLb6GO566h3XNairQmGgvY4xtr3XoKftVCvoU8foHCuS+oLb0fhrkTXtjtNNNfJHG5RlFC/MWWmHMIIh3XOnXB7o6eMqkmqOqOJx6pvvIfzCVYLTq+iHzs9i029S2IzSWwd7elDfDegohtUa0rLUjI6TDQeRibKZ8NZ1t6EXwsoqkgkk6b6OyQ3Cz7/yrdf1fROG6OVVpG4fUjqK7bXZIXSrjTp7idJyAVzH6vL4nt3cHY/b37RBGt1sIWFkI0RSq9nSn+XrTsfuj3g2dt3P+fiex6+84p3k4wTdaFo98BluUgjpuFTqTYybZ1DvC/dnOtcmTra3dNdpFuGwjWNsVXa4DanePn2wRb39tHoZG+hGEnKG0vAHZZVaT8mHQVr+T7/3h/mPX/+To9eorwfvqMl6lYNTKkI+QJQaZF32VyiSy9nPs9R/HYYb2vGNtD9N0fUGtNrrCpmlIgS+FQWL4vVIlE0ryrTgN3gYb5TF+jN/83p+8Ktfv3X9Nwsy6rDfx9v+jexxDAc03Qq4OQb14eV34KG60cMeVTEiveu5qF4IK2vXnagino+zOI+pljG50e5SqRmhagZl5ysYz0EXfKK5HHHRcsleK8Wvhfz2Oz+AOnncRv1keurDlIqMUSrOwhy9e05Ru8snyUPxkmbhYzXSz91vI1pOHKV3aoGo4uC2NYWH1jCnz21Jx4jv4+xbxFSt7oq0u5iVGum56TTVbuOdb/i9h+U4jwqIDPT0TZBDxclI/9/smM3U9xp0iq43kW7PJgP1jZsfxlmISdP1CJbhNlxn1IJJYtKVGtJsTageGsDE69THeFnHUeQ9n0I/Zj1JIY44X1vDXFzFROsuT7rbgytLsGo13XUUDaglXW8SfOwMR+7P9LS7IXrN8tXGaMyFywRrTfK+Z2fFrfbmkgj99kfWdELW6tZmLr42GmdTiOCeOEb3zgN093uoFILlmNyVFpd7Du7RI+hGE91q3dwRJsagm00kDG0ildYj/X8zw2aUzgb1PQFRClUo0vf11J3O9B9m335tWkjgGAaKjdkDYaAbIrK5qqAxmHgDYbBpbff8jOOdUu9we7c4N3HdrGywTre4rs12jWJ0JjCGiI1br5R5y9//GC96+usxzSZpIwVjaSLdS2Ejyz9tTT0E0NUSycn9xCUXMeB2E5xGZDc348RquGc2eJPXaMjPcpw26dNXbnYuQSYi5k7pt27PDsZbSSmIwnguSdEhLtkfdlTyUccW+K2fewXf+j2/QvF8B/fSqtWsTxKIkwH1NNLeYR/XKVo9G5Yly059hOmOXRNT24PQZjao7w3kfLjjuDVgHjKeHodTKq5HP0xRuh1Ag9PqoDM7u0GI4ELVuhntkpu8uO6I9Z10QqRP1cDIMlniBFVvDiQFRisSVLlsyxasBEFUDYiqLsaB3GpC8OASydkLiOdi7jrB1S+r8BU//3b8bzzO4md7eB97YLpx9hDUXJXePadYfaxPXILObQlfd8+nePn+vyc2Du9eeSZ/9eBjiVaLeHWH6n0w//kOTnu0L/r9pFdWp1IzwzZ5JnBpHyvQPOoSl0bLiYbyOc3cx5bhCw9sPsPWKVxdoZxqisU88b4CF54XcOy55/i5cy8h+HcneeCjx1j4dAmvo3HboxE4aij5bGB9WC1ZR6jhNsVWe73fTyqftxFNlSyhbLuRUjPsOmYz9b2EMIL7z2IcB4IA5/BBjOtgSnm6R4p0F7PBraEJroa4DUvPJCWfpOShXcFrJ/gX6nB5yc7O9i2gH3+SpOyDAaeX4HRiGwfve7BvwfL3WyzVJYytqFgW0aJKJasIGGSzftex7d4hVGAFyCjkMa6DruSJ5nKkgYP2hbCsiMuCdkC7Qu5KfqAj3sdLn3MP7/rLewnnPNyTR3A6iwNKRbfb62Jl1QomZ1cM/kqX/R9LMK4i/ZjDp//mSbw6uNtKFaymnLraRTVX1/Vw+kqMvRDqLUynYymqVA8iTcTzUdUyUi5hHGWvWbMFV5cREUqnc5SDYPpMPdsIdu44aTdVmy10vTl1pZS22kgYIo6Df9bl9jPzpH9W4cR3/xs++Ecf4WghIcln+w6dBO9SDb20Yts7pN6pwxBzZQlZXpmkwrQeLdvtYi5fRVbsT0z3Z/G3MjJeX8plTM5D4sT+RhqtG7qCMQjpprO5mwt7e1B3HNSCldM1OWs/Z1xlRbNSg9vT1ros1AM7OiNiB6ackPqCcV2MmsNZLCHGEJY8wnmXuGBdh4KaIog1EmaRrloPLN5M4KOLObRvdVhUJ7Kz7iSLGsnlcPr2c9UKer5MWvAwSkgLLkleYZSQW4vJJSnSbE5SFo6CnG/lAOIEcjko5NGFwPqDBi5p4JDkBaMElRrcNiBWoMo4Yk2kXZfefEBvUVg4UKS3AH7dISjmcMCuCubKOMagcx61x5VZfYIQ7UuRIOXAgTpPWDhD0Q0535njgdV9tJoBuutSOO2x79NC0DehcBT9iZHeVyB9zD60JySB0Djp0LojwZvrcWi+yStP/j3/qmxj8H9s6Qn8/h88j6Pv6+CEKcTZa+wBapSi/sQ5rjwDqrfXSLWi1VzA1HxUqFApOF1BZeN7UjTEcxpTSCFS5M+5VB7SzB2fI1zwSP3sXhCIygHmjqMYOQoKkkBIA+zkoGaYuz8iOL1iJQ5GGmVstE4cTYRaGGMQrTGpslRXn5rx/YEHLb6HeJ6tp9dDN1pTH1ADRc9i3t5Xrc6GK5+HC+L5VuMno9zMJno4JtXWWStJrbLpwxSWMqNf9gjSkk/9GceQFPxGglcPkV6CWmuTP30RP4t+cSqVAf0iakhz20B33mH5iS69Ay44oDoKryk4ITihoBLw1xROiP0hr66R1KzslHv8CMmhMr1FD6dnKJyLMVeWSZvN9YSiAwsYV5GUckRz1qIuCYT2EUXnkFU9LJwLOMw+vMtXJwZ1oxSmXLQm2v33plwLMeCEGv/quvXdoPzhA+iCR/12n9ZdMb+y/EdEd5XotvNUzipoQ3SgSPOET3efEM0bXvxN7+NH931+233xwge/hg9/8g6cjqJwSVG8pFEJrN2hkKfVef5t9/GVlc/zrcUpUg0Z3rD/M7zh33yGOx77MkytgNPO+mJs/Exz8IrveC+vnX9o2+0bx6WkxS+ufID51xzhU188Rv4hH9EQf1mLn3vq7/GCwvRB8jmf/Dbqf3CYYG00nUVS8OsJXr2HjFnqibFCZmT0y7Ckr8m56MAjms8Rlxxrk3i5h3v/RZtINgZ1YB+New5TP+kgBioPpVTudax/wCMBlekPLcxZK8koRmqNqZLO/c3ah9uw+lajX/a0oFfV3WeeWfoWIEsp75sp9MWmhmOwHWewUSqOYzcUwcZ053zwbNRHP53eGIMoBUHOSt26CumOZioOzI8dx8b99iNG+htlY8fsx49LsUB86iCt43mSQPDbmvyVCG+lDXFiJYQbzW1FkAzXO3Edhstlx5VSkV/40+/n1f/iLVZmod++OEF6IaYXIkqhF+eIDhRJ84rUV0RlRVQSjGNXAF7b4PYMKjHkVmO85RbS6mabn5GdsQLkclYeIZMdDvfl6e73SPJ25h4uQjSnMQoKFxT7PxmR/+JSNovTG56LPjBP93iZ3rxtv0pAJQbR2FVTbJDEfk/7irigSH3JVl8pueUuv/Sb38Or//lbLEUUZu0t5NGVAmneAwHjKbSrMI7gthPcqw1YXbOrpjFsdO2BiXyCgdyEksFsfbCpmiSbmmirQsGu2MDK/2aZx48Yhs5l4rd3g7ATQa/HfVlgfvVPju2o/ueeemAm6PVIwKR64FIvvo/KBthBAkw2YxLHWXeTzxziN9V36aMvplUq2u9qjXFda8gxtmwUssSfvo5JmlqhsP7A7PmDAdhojbvUpBImliqKU1QrtINLJrqF76EcZ9DeDR3th+rFaIjSqWWNCMrzkFTzC//5D6weTGSQzGLP9EJ0uz2IJpHlVXJng6kJRYOHme+PHqN/3uNlW21LNRhN7gsx3gYDVh8JjPD64rk2IqW/R2EMXL5C7pOQ27wHBxjocyrHKnGWy/zCj/w+KCE9MEdStA91b7WDnLuMrFg/W2F0b33XhiptRdJg+sprI5gk2XJj+2HH0Lk8GmFlAmac+t6CKGtqMV+1S8AwQtXq6Gx2NO4mr9aamNXa1poiOh1ZLg60XxbnbCr7Zk3qhaiVNdI1yx2oYn5d0jdOkHoTHjoPcZQtDzMox24mzVfXy641kMxRafQgYh84/bJRjNSbyJSEEnEc1P5FurcvcvVkmXZ6gMKZhk0SGg8LzOodROBEMWpoSS253CBRyYyF9k2UzedRixkHrDWq0YaVVRs+udn18304tJ/OqXnikoPXSsmfziGbZI5uB8r34PABOrfNcfW2MsuLmvYRobdfg0DliwGH3i+wWru549ZvMdxK9MvNMajrlHRl1SaxAORy1qLu9tvsLL4XYmpr6PNdtnKIV+Wy1SAPcnb532iNWtRdvIxc3voGMTCy3E7rDWi0ECUTn6kgsPx7MW/b2+5illcx3Z5N7kknNwvtQQzp2tpAM2a83pGi2mAaTYJzLm/61e/le77x55DVOnoKjbBVvbrTQZ/rTUTVTC3baqHbnUHZza79SD1hiH7wDMHZCwSZfLLehThr3eshXzxNcNrlTW/+r7z8qa9jn+vaDWlRls7o9mYD+k0EY4TUzGbqewsilnrJ59fNhdMUadqYYBNFlgqZtiOfUSyS8+kbFRNGSGSTSEy3N7p5qbfpYD+OYUd7EVQ+j+QDy0f6HqYQWIVBYyzXnSS2vWNlR+vUmDDCdLvbGuzE80hLOV7ysrfhlHO4bd+e7wbt7dfpzFXRd56gebJAmhPcnsFrprjtxPLXUYr0Eiua1Q/l7MfyD5/3lu3zUfnAho4CptuzA6xOB7Zuaq5qC0fxep+O93+SWH39DSirfhLOyx776q0bNcNNAT2bqe8xiLJCUH1HnTAzCN5GkpDyPVSlvC6n2+7e8CQRcRykWIT5ijWywHLeKCZIW3EcpFyCahm8se7SGtXsWJppi0FdlEA+IJ4LeNH3Ppd3vOP9OI3AbvJu1d65Kkv3lKg9M6JQ6dFey+Nf8vBrPiqxHqV+02QbqCnBGcujm3BnPKsEOWS+alcsqUY1WnYADq3Cou2nkvVAbXeRLIt3Wv9LzWbUYjZuw4t/7Nv5rTf8/o7aOMPeg6U3d3emLiJvB74RuGqMeWL23n8HHpsVmQPWjDF3i8hJ4HNA32H9g8aY79vVBg3hhg3qInIceCdwEHtd32aMebOIvB74XqAfr/U6Y8x7s+/8CPBy7ND2740xf7mtg2X0C6s2I3MwLdzGEtpSKpfgklr/7g1eeluN9GXINuNUsTBiOzdR9uoSLG2gp77N9po0xdQb5M45+LWQwpm6pV+2IR2cnDnHgXdc5eC7/cHG6QjNo/Ug6gggvcboB93MNFhksi8GGvlXlibP+zr6f4ZbATeEfvlN4C3YMQ4AY8y/HBxR5E0MW+7CA8aYu3e7EdNwI2fqCfADxph7RaQMfFRE/ir77OeMMT8zXFhEvgT4DuAJwBHgr0XkLmM2mWoNI1vmXxOu57t9iNgN2e26vg8d03S7mJpAx5Y1/eiRbbRPBYENVfQ8K/fb6axTFmPHM+0Oog3vev0f2CiVTndALYnn283cILADdLe3HipnjD2Pa0hwEc+3m7k5f7LeLa7Lrn22AWaz9FsDNyL6xRjz99kMfAJi44tfCHz1rh50m7hhuwfGmEvGmHuzv5vY5cfRTb7yLcDvGmNCY8xp4H7g6TeqfbsNGzYZQLWEWajaULxiwdrkqSkCUEPoh6mlS0v21Whsb0NQxFIWlTJmoQpzZftQ2YAn170eaa3Gr/3dfyZdXhkRCRPfs7IAi3Owbx6plNdj+a8D4ntIqYiZr0C1jGzktfoI4Dc+/2b7h4jto/5rhpsOqZEdva4TXwFcMcZ8cei9UyLyMRH5OxH5ius9wGZ4WDj17In2ZOBDwLOBfyciLwE+gp3N17AD/geHvnaezR8CjyoMbOf6lEo+j1qYRx20JtDS7Ax0z3fvoIZ0rQ71xsh7W+FHv+mNu9eGLaDb7YGeDPCookR+9JveuB559DDuqczw8OIatV/2ichHhv7/NmPM27b53e8E3j30/0vACWPMiog8BfhjEXmCMeaGJBzc8EFdRErAHwKvNcY0ROS/Af8Fuyr6L8CbgH+9g/peAbwCIKDQf9NSH1mS0EDTeyMp3huJPgccRejaGtK1Zti7ZX232TG3i0I5P1lFGK7rwWMt9nZV2/xRNJj3USjn0dFVWKsjGbWko/i64uBneHRC75xTX76WjFIRcYFvA57Sf88YEwJh9vdHReQB4C7spHbXcUODN0XEww7o7zLG/BGAMeaKMSY1xmjgV1mnWC4Ax4e+fix7bwTGmLcZY55qjHmq188nFGUzFgt569xTyGca6I9cbKpJEnS7TbqySrqyim42HzVa1q996ysn3jNJgm4219vbbt/0VmevfesrbYLZo7SfZtgd9KNfdvK6Djwf+Lwx5nz/DRHZLyJO9vftwJ3Ag9dzkM1wI6NfBPh14HPGmJ8dev+wMeZS9t9/Bnw6+/tPgN8RkZ/FbpTeCfzfbR1Mp6S1GtRqu9X8mxqvetoPPdJNeFRgdh1uDRh2hScfgYi8G/hKLE1zHvgxY8yvY4M93j1W/LnAj4tIDGjg+4wxq7vaoCHcSPrl2cCLgU+JyMez914HfKeI3I19gD4EvBLAGPMZEfk94LPYyJlXbTvyZYYd4ZU/8xLe+oPv3LrgTY7Zdbh1cAOiX75zg/dfOuW9P8QyFg8Lbtigbox5P0xN43rvJt/5SeAnb1SbZrBYuXjDJgl7CrPrcGvAGGYyATPc3PiDn/2zR7oJjwrMrsOtApnJBMxw88H5krt4xXvey7cWW8j+9ykObvEAACAASURBVGOWngPAc//NK8i/Z3tbFzcbfvf8W3nRc36S1WcdYfXxgvGg8gAc+MAq6We/8KiM2Jlh5zDMZup7BqIUqlCc/CDTQpkaxdAXyCrkbRJMktjMzw3En8R1s0gamaxXOVbK1XGYcJPftOFZCGY+GG1DFlYnrmsTf6bV27dCm5YY1C87RbjMKMVJdwXIYVa+bfB+XFQUi0WbYRrFg4iXiTZE0U0XFfKqp/0wBBW0IxgX6+vqMCEnfE0Y6ycr0Jbc9BFFj1bMPEr3CnI+3HF84m3pRkitTprZ2Q1D5XLIbUfpnJwjLin8Rkr+wVXkofMTg6G4Lmp+HhaqmJxr6+07HxltzRb6GunpqJv8ZlD5PJw6Tue2Mkle4a8l5B9cwZw9b/Xfy+V1LfM4QdWboy71+xetlvm4o31otdf1FD11/Zn7eN09/wQW5/jS5z6WT37kIQDmWINTx1GdHrJasxLBoqyv6cIcJu/belfr0y3K9jCO3nWYlb/7LHOnzzA39P61iHCOQ+Xz60lNgGp1ZklNjxAMMvMo3TMII7j/7MTbOrMVmzYr0mGIOn2OwuVlq6GdJBvK8pokQddqVldcKauGODTbShstpNuzSoc70PvW3S7qwbMULuQGbUi7vcF303oD6XSm1qu7XczFK4ijpjrab7hCMWZQ74u++2X8p9/9+5GP0/65ZRoqaa1uHYuyNmxY7x7GS37shfzHb/gp1FzVWu6pLKO03rjuzF/d7WIuX0WWbB/pVNvV1gyPCGYz9T0Co/XOf3w7FKfadDDTKSZMd2RHNmhDpwMbtX2zejO5WXMt40NW7w8+7//ZdtmbmVX+wa9+vdXmySYBktp7Cr0Lc/Xr6acZdhWGa8oo3bO4dc50hgGmZZTeinjtW1+JiSPS5RWSM+dIzpwjvXJ1Y2XNGfYohHSHr72MPT1TH6Dv61ktYzLXnAGMQTo9dG1t61m9CO6hgyS3HSCayyHa4LZi3Hpv0j1+rF5xXVS1YhUTPRfpG3Vsx+D6WtE3Z+57s8YJptFE163KowoC1Hym0z60+Xf/uQbuqdtGyrrHj9F+4mFaR10khcrZiOAz562G+RhUoWDrLQT2OrQ6pLW1HWumiOejFuagXJygktAamu2BleCmGOt/iWLMWp200dp0Y/ILH3kAyeVw+tdoK9/ZMLKuTvXGRJ9eT/+P9BMgrY69r262h0vf9Huuut5P9aa9njdwA/lWm6nfHIO6sZyv9EIkHVs6G2P1ydNt3jTGIKlBtEESa9VGGCFhPFFuuF6jjR34eyGSpDZaZLvH3Ax9q7YgB5LZ3PXCwUBnkuyY2kCSQJzYtgAmi1qR7qj071+84/9Mlo0icrUQ4wqiDd5aDxNuMJg6jnVsyvmI1uC6iMg10FAawtBGiEwZ1E0Usy0fvPH+j+Nsf2Dz7773V/8a8XxMGCGOs+WgbqLI1ju1Cdfe/ybV6/3UP874fXwzwGhMPNZPydb9tBvY67PvneAmGdSNdc3JjJKvpx7T6eIsNwg6ASQpMhR5sil0StpoQGN31TTFtTrnzFUwnovq9DCrNdJ6vCU3b8KQdMrs+T31d/It1ZeMvJdeuQpXrhL0v8uEs946tHUdkuEZ6BYD4tT2JYmVDl6rb11404qurf/71yGtRdevG3Qd/W/iyDo33ewwZl2K+WE9rMxm6jcbVLls7eKCnB2QGq0Nl/Vpswmt9sBowmjziMYWmzgivbqEZD/6RBuu13LvO46+wlIfc/8/e28eJVlWnff+9rlDzJFTdQ1d1d3VA0hPyCAJsLAGGySxJGPZbVtIap4sEMaiZaOBJ/MkkP1MoydZYCEsLFh+DdYEksEgbCMhJAswICObqTFCzN1NTzVXTpExx7337PfHuREZGRkZGZFDZUZVfmvlqsqIE+eee27kvufu8+3vc8Ya+APGEIlFqvUtUwC2Xsc2W26OPA9TKmJOHkcywWbj6UOMe06/1KVf5ufQUp+e+srqEfXwOsNR8dF1Bu100Fod6bjVrTZbWz8ap5S+cZ4IJZPB5LIQhI5imAnRTJjSFBOk1XEa6kkCnahn49bjv88UIfCRZtvlgIfkartjGtcJyeRyrqjJeBB1HF1zYLX+tGc/hY+//7Noq4WsCTK4ylZFW63Rx7TpHCUJ2mg6+eM0fYDv4y3Mu/9HHWy9uf2TzoSQIHRzn8m4x/pma7iN3wg87dlP4RN/+pdo05lYI+JSW3upI3+EA4ezsztKv1xX0HabZNDzcxIMqzAUg8llkXTD0PqGuJylMxNgA8FrWcJKB6/WRmKLVBtISo+UMISb5mjeOkOcM2RWIzKPgNTqO+OCp+OTMMSUS2g5vVk0WhhZIxnILz/vpc/l43/8GZeumCRl0T8P3TkcSAH1Vr4LZdQYTKOFAZK1hF0bQneP3537+XSzNrGYtZrbb2hvEdSHjP15P/49fPx9D7gUELtMAR3hEGNfjKcPLW6IoG5KJczCnAsAcYKs1cbKk4vvuxTF3AwEA1PVZb8sLmPrLqB5Rsj1G3OoxVrt/b8bTGyjAV9+mMyDnrP5UEucJDu62XgzZXdjyWXcxudaDfvYOTSKMYU8ZnYG7+SxDUHtNa/8z3h33Q6r1bGqRCUI8Rbm3M3C95BGC11edTnkUTC4atvcSbyb1aV11mokyyuTM2W6N4tyETyzPobH0zTJiJTUVtf/X939uonGcITphGO/HK3Upxri+5h8HnJZJA1m2mxB0+WHFfAW5tz/4xhtNLHN5qagoGlqQVQdw8P30XzWsT66ba3tPfJPtIlvE3QHOWcJQkwhh2Szvde00YRGs5cK0U4nTTM1nY5Jqw19ZtQ//+Yf43X3/ofRaag+aJJgqzUkjsHznPXdOEHZgkSxC8Dpk5IC3pwryh8195vGEMXYWh2JIscCSlNL46RbtNNBVytQb7obbXrer/q9n+FX/tEbtz+PI0w9jipKpx2e58q+SwXUM0itiS6vuM0v4+HNzaBzMxAGSKsDiXWBb9CTYyC1YLJZjJ1dZ3oku9uw3Akk8JFiES04n1GpNdCl5aEbmhrHQ1fT/+s9/3MytkVq+cY4m4dW3ZzECeIp0mpjVysu1ZPyyZmbQbOhm3vV4XM/bAzVKuyA4LQVC+jjf/zA5J2JuP0DI5Ntog9+bpeb3UcYH0faL9cBtN0mvngJLg1xsLeJC2jLK5vf2wa21cJu1e81gm003I1Gdj6GD7/jY3s8qnVo1HEFS5evpC8MzH3XdnAX498rTDoPJpvFHFtAS66YS6oNbHexMAr9abI0BcTq2niFVUfYE+y189FhxlQHdQkC/JOnXdqh2cQObjSmAcNks0ixgGQcpXFo2xSb2tYbJLUBE+Zhgch4LoddyMMwWdx+pGmHTf1Ogi3G4BULTlbY99F2B61WN63iP2DfzXP9e1zbgquk1E603rbLoikVkSBwomf1BrZW2zYIi+9jigUkl0ob92Or69T9bCaDKRWHXqdJ+t3Q1hi01XLvDazWP2DfzfcWX4Q5cRPJbBE8wVQacHlx6BOO7USwsoo0m44p43mYcgkzN+vGMOy7suEEBRVBfA/KRbwwTIvYOmi93qt4Nvk8UiggmXCy78qY139idPst5IfPfat9qA27nfPR0Up9OuAZl4ZIEpfbrjeHtwsCJJdzm4ldwabt2uazrt84QZqtbfPfYgQJA8jn0MFN1UEkids0bDR2X0wn4qohxbjUTD7nys09z9Es22330xeMn2t+0AlZZTJu/rx087NP6EzCAMlle/ID3Vz2tmkSMRv63QBr3V5Es+UqWgc/6vtINtuTH8Da9bae5/odVs4/eP09z/WTyiOICNJqbwrqzzU/iDc3RzJbpHWzU2nMBB7+Wm14EdFAGsqUSq7kfZzvilUnGtatSDXGfQ7Wr1OXxeT7SD7bk14mjtO0zXZTL+tzNOL6Twrpzv2oa9rwhl7Tw4IbKf0iOsV5vbLM67fKdx/0MA4OInizsxu018d5rH/OC75jX1Mw04LnvOA7+Oh/+bRLqcwUURGne760svvq5CPsKz6hH2JNl8eK1Me/YUF/+Pe+b6L+3/T0//iAqj5jR4M7YFwfiSYRTKmEf+ok/m234J866Ywm9sLB5jBD1aUVLl5Bzl2Ei1ewq5Vtdbuf9Xeefo0GeLjxrL/zdGwnwi4uwRMXkXMXsVcW0eYWT3FHmFocqTROG8Q4UahM6BTySB9px/qsS1/0bMe6ZgZT8gTjNLvXV+Vd+z0RcecyxCzkuqfxjXlNu/NgW8nY+vpHmD7caDz162OlnrIq4kcfJ3nwa04Xe7UyVmA2mQzeyRPIHbfCXWfxTp/EFIvXYNB7DwlCvGMLmO653HIzXrm46YnlF9/78wc0wmsDk8ngnTi+7TW93ufhCF04Qa9JfrbtUeS3ROSKiHy+77X7ROS8iHw2/Xle33uvEpGHROQrIvK9+3SiwPWyUt8FbLuNXl1EVlbd5lUmxMyUMcfmHQOjVu9pjh92aByRLK0g1Zqz3+tJm268ub3/rR88oBFeG9h2G11cQlL1R9s11R7A9T4PR1jHPmi//A7wJuBtA6//W1V9ff8LIvINwD3AU4CbgQ+KyJNVt2Md7Aw3fFDv6aKnzAhjC47GFwbTl5PvWaiN5j7/5Ue+cI0GdEAYuKZb4bqfhyMA+0NpVNU/F5GzYza/G3inqraBR0TkIeCvA/9rTweV4vpIv+whbL1OfPES8dcedemcpeWpWKVPgneef8tBD+FQ4GgebhzsdfplBH5SRD6Xpmfm0tdOA0/0tTmXvrYvOArqNyAGDTJuVBzNw42BrkzAJD/AMRH5dN/PS8c41L8H7gS+CbgI/No+ntaWOArqNyCe9+Pfs/lF42HyebxyGa9cxmRTTfbrGEPn4QjXJSwy0Q+wqKrP6PvZ9rFOVS+raqKqFngrLsUCcB64pa/pmfS1fcFRUL8B8eRn3LnpNZPLYm5agFtOwZmTmGMLmEET7+sMw+bhCNcfupTGCVfqE0NETvX9+g+ALjPmD4F7RCQjIrcDTwI+uZtzGoXrcqNUMhmng5661Pcsyrbw8rzW6Oq0S7mE+t5EzvM7P6jglUrI3Ay/8WsfxL/9NnSt2mP22EYDPd92ZeCpiuBWsrwmn8d0xalUkVqDZGV1Yo303cAUCutjsBaq9YkFsn793vsnOqZkMnhzs876Dpye/iH6Xo1E3/XvSj/0X//rHXvtUSoi7wCejUvTnANeDTxbRL4Jdx95FLgXQFW/ICLvAr4IxMDL9ov5AtdLUDceXrmIlEpoJkBsqhvSjtaZEN0AJeIcgnJZF8CM54STuqvSRtNJxXaFrTIZJJvZrHkxiK6w0bg6G56HBj6a8Z0BRzaDd3wBsYrWG2hlDdtquRvATBkpFd0NIE6g1UajCKyina11xU02625u+RzqGTQXkuRDfvXNL+TnfuJ38ayFWt1pi3geksk4Vyac0qV2JXG7Al9h4DRFwrCnKw9A4GNKBRfgEwudyAX4xDrN9FZ779UIk8TZ8UHvGk8qpPP6/34fr/iu+8b/gHXiW05rRzZ+rwZhPOfO1J3PTse1P8AAqnEMrba7RkniRNzsdBTZ7Qq7WH1v2aXqC4a8/Jsj2v8y8Mt7OogtcF0EdRMGcOImGmdniYoeYTUh+8gy9vy5TcFEUqNk0hWLZn2imQydspuK3JU2wcNgL7VcoCuVYK6MbpOKkCjGVKroGI5KPaiCBZsP6cxliAoeokruUgvvYYVWC8lk0FPHadxaIs4Z/KYlXF23yTNrddCVoatFmSkT3X6S1okM1lv/Ur/1v36c1rEs+XoO8TyU9Onm2LwTg1J1/S6vYJtNdxOcKaPlorsR9SYeMIZoLkdnJiDJCF5HCdci/EobiRJMo4UurZDscZWu7RMf2yne9pp3TdReow7JSsdJB28Dk824J4myW9WbVKb3wIL6gDfAjYQjj9IpgmQzeHc8ySke1pvkPnGVbCdCk8T5cg5ZvWockywt9wpTEENghFDEFR9FMXGqnaJxTLK4iIzxR6w4h6BxApfGMcmVq0jXqEIMoREynucKnhLrgiCOYilffojcQ75TJ0zfV7XumCOMGpIrVzHLqxQ8s0HZcPl/P0HuwjI29UztHsc2W07pL73xmZPHkUzgbPKqdfSxc2gcO1nbuVlsIYckCeETSwSfr7rVsrWoqnONEuNcmuZm8E4ddyv5tdo1T9VshfNfvbhvfdtGA9tqI6n2/kSGGkfYc9xIMgFTHdRJEmS1itrUTb7RGG8lpLqp3ZahuK+t+D6Sy7l0jThZ07GPuYsxaF/wnfgYUQcdKKZ805//W+45c+/m9jZxGYzUFg+cZn13bFIqufWOEWi2MC2XaurplQ8Zo20KRgzSSVNhqe3eYcCbP/Xa4fOwV+jO5xEOFDea9stUB3WNYudwtBMMcZff9iO+jymX3CN16nwjSTJ1G03bBrKBR/We8fR8eaPp83bG02xtJXcYsK8B/QiHCkdB/XqG8fDmZ2G23PMo1ZUKSWVt28dj22phL1yEi2kqY0p9Jp//s9/PH7zhfWO316hDfPmKs6gTM7XnPYhJ5+EI04kjj9LrEJLJuDxwsL7ZqVXnXqOdyOlnj/ucrLq9+88hx8LN85N/qBvEp/zc+7GjeTjCVOJoo3Qa0efWPgiTyzpKYC4DiYVKdWtO8166vhuvN54NG2X9VEkxKb2s00vj7GpTbcQ8dPu9/xWDwnJDxjvmpu92Y9h0LsZztnsibkN1iw3ta4Et5+EI1xf0KP0yfeimVOZm1vnmfZB601mU1WruhRHByiuVkIW5nuu7VKokk9AUu0PqOs+nlLZ+53lvYZ7qd97F1W82dGYt2asec1+xlB6sYtqRa7u0PHFRiwQhppta8gd49arIWh27uMRv/I/X8LJnbtQSN4WCozQWcq6vtO2kpsWSyeDNz6HlIvgeUm/28u8ShJizZ2jdNkdU9vHrCblHVrCPnTsQNsybP/W6TfNwhOsPRxul0wh1uufSNSgegO2lWLZfedpmC7O0Ams+WHXa3Dtga2xwnu+OIQ1cWqtT+qsrZBdnSXIefr2Nf7UKKy6vb1tttLOzYh0RQU3qWh/FLqi2Wm7zs9XGdqKhlZTabmOXV5Fa3Z13pzNUg3w7aBRjK2tIqw1G3Hm30vOOI7i6RK4TkQ0DpBOhazW3Wj8ATFpReoTpxVFQnzao7kkxCqQFJntR/TjgPL/hrVYLHnoE89C6+M6OExCpdRtiXMUnQBQjVpFWG12rbpIfaFQ3e3BqHKN7YbZsk62LXFSdI1W3RuCAMWwejnD9YZo2SkUkC3w/8J04Q40mTkPmj1V1LAOAI0GvaYYI3uws5uwtyNfdgZw5hapiHztP8pWHnK3f2tqmJ5Rf+qNXHtCADxeO5uHGgapM9HMQEJHXAH8B/A3gE8D9wLtwejGvFZEPiMhTt+vn+lip36hQxdbqSKeDBL6rNO10XJpjBF789T8zul8RJ9pVLrk9ijhBqzWSWn3zpqYIpljEFAvbtz1k2HYejnDdYErYL59U1Vdv8d4bROQ4cOt2ndyQK3XxfUdzzGaRTGajbrjx3IZeNuve9/vueyIb3hv82dB2EMbbcMy9aqtRB1uvk6xWsLUaIoI3U8ZbmMcrl5Eg3PSZH331D46aHneqnge+7zRvAn/jXkX/POTzSDYLmXB420OMcebhCNMP1Wsjvbv7ceofA4jId4rIhj8iEfkWVb2iqp/erp8bbqUuvo+Zm3MiXdkA0+zA8irJSgVsglcsIMfmsfkskiSY1SrJ4jIadTCZjGO0zBRRb+OFlyjBrKwNZ8qIOBXJ+TlsPotJEmRU25kyLMyi2Qwmisdm4Jh8Hu68hfqtZZKskFmOyX7tKvHj5ydbNau6tM0WFaOmWMQszGGLecRax5S5dGVipswRjnCtcFAplR3ivwGfEpEfVNUr6Wv/AfiWcT481UFdMiH+mbOO511vYCvVbQOfxjF2tYLU607+NuWIjxP0JJvBHpuhdSKPGiGz0sY/v4xdrTgp1lwW7+YTbqXa7mDXqo5G2U2TtFK98mKB+LYT1L/9LHFOyC4n5B9cwj7yuBtftepYM57ncuRRvG1KpXtuXqVO7qKHDX1MJ0bzWfyztzihrXoTu7bG21/zbvcUcOYU8fEyNvTwK23MhaskV64CaeCecVW3TtCrSrJWSzeAGxBF7lw8D81kMCduwnjeprYj5zMIMTMlpJB3gmPNlpuzRmNd/7ubAupEQzd9d4O3v+bdbgyzM0gh5/j1zda69PIRrhNMz0Zpiq8Avwp8VEReoqr/E8bPH013+sUYbDGLFnJpGmW889ao41T0qtVNglyaJE6sqtFyGiedznq1qVWkE+M3Evxmgml00FodW626HHLHaZwDG7VlSG8mrRa2Xnf0y8j1qSLucvW1729rGw13oxonkCUJWqvjLa4RXK7grdSRVmfTeH77y29cV23sHn+Sb4JNeuNLqlVItdN3DJH1n2Hv9f+7h/jtL79xz/s8wuHENGyUbhiu6vuAvwe8SUR+khGag4MQnWINj5n8zfqsJ78EiS1SqZEsLh0KSdfDjtNPOsX5B/dPdnZacDQP04tP6IdY0+Wxom/hyaf0Kf/uxRP1/6m//SsPqOozdjS4XUJE/reqfnP6/yLwW8A/VNWxMitTnX6h1YavPuoqxuJ4a/u1QgEzO4PmMkhi0WptrFTNtcIGh6LAJ7qpSOPmLJ2iEDSU8sN15MuPYqvVXlst5p3DU59TU88lqWuT12xjK2u9SlqvVEJmyhSfcjt+FKCV6lhCZpvGm88704xCrufUZFcrU3dDzZdyu/q8KZXcPGTD9e/VamWzameXITRTdt/BOLmhrOQOHDpd+nPdgJ7+vwb8kIhsy3rpYrqDupGeXRiwdeVnql0uUeq/mdjxBLxS6zsJQ1ep2bUAS28GXRaNjMH2cCmV9nDjju74ksRlYhJ1AVtl00NXr21ahalxzIanrSRxxUeqEMfud1WXvvA8NBPwM7/0A/zUD7zJqVQaQW0qelYqIrk00EWRs8yLXP/a6aSpKGcVqHHixiDizEpOHndzG8fYWr23l3CY8fL7792dTECSOCvAyLjv1FYpKNW+th7EyaHRlL9RMA2URhH5DUanWX56nH6mO6iHIXrrzT2Wii6vDF0t7tTGSzwPUy7D/Aya8ZFmB+kyZdQ65ceU0TKyH1VMrQGLy67KdAA9zfHFJRDBXy4zc9n1K1EMq2vuhjDYdrCfOB6rYvMn7/n/Nn3FvblZojtP0TyRASCoJYQrbaQZIZ0IWVnDrqz08v3d6t2ensvt83TKHn7dkn90FfPIE4d+s3G3ui+20Rhbn2eStkfYWyhTw37ppyu+BmdmPTGmOqhrq40++AhqnX3aNS12USWprDmtlG1W6l21x7E0ZAb63bNzUyVZddouL/03P8Jbfu73N/QbX1nEW61Q7MoT29ScWHXkGDTqYB89R+bCZbIpm8j2Pc0cZtz7+hceKTXeEJgO9ouq/m73/yLy8v7fJ8FUB3XxjKtkHEQUOyGu/c7xdi3pJs2L9kvvpjRA22ytB8L+fntti0PbShBicllX9JMkaKuNbbeHpj4kDDGZDMtLdUfjy4QQBqgRl39frWCH6b+IYHLrDCNNRbq6Y3CWeYc/iA9i6cLyQQ/hCNcIhzwTOAw7HvFUB3WCAD1zwv1fFdKUprQ7mOXVLc2nt8QgbU7MUJqkmJT2NPhN6dHvRrgDiSB+4DY758po6CONNmZxhWQ12viZNKffa+t5SKuNWVp1bSE1gXabwKSFSrK0PHyzLp+HhVne84efQ289TlzO0Cn7qCdkliMyj3hoV5WybxwShm6Tb66M+gZptJHFZZK1PXw6kiHzOc57u8BUux51v2tTGK0OAlOSftkTTHVQTzIetTvKeB1L9kIDc/6iY3tMYG7R0/8uFcAbQtY2xnHJAc2EyMmbMMcXHGe93nQa6Y2GK+a57QztMzPEeY9wLSJ8bInk3AU0SRzzZH4WzWXQwKMzk6MzE2ADIbMakYlipFrd1BZxMro6jKedplSorE1kbvEf/+z/5kee81oyl1YI1qrOwDuTgXIRc+dZp71erWNXVh2rJgyxN83SPFMiyRj8RkI4X8SrtZ3mfLVOssV+xrZzPzfrtNc9g9Sa608LxsObm0FmymgmQNoRWlnrVf7uBd557v6p8yk1+TxmbhYt5gGQWqq9f8j3Lw4Sqnsf1EXkt3BqildU9RvT134V+LtAB3gYeLGqrorIWeBLuKIigI+r6k8M6bPK+go9LyLdkm7BcdfL44xtqoO6104oPlKF2GJWq9h6Y3KKWFqNKl2GyBBs+XVQRUpFvEIB8V1qJLxcJ0xXs1qt9YKsdjpQrSHtDuJ5BM0OfiUEs0XbWh1pdzaNQaMBbfjUXm9bMo8q2mwiq4af/r7XweLq+uadKhLFGNxTTndlLDNld4PxPbTRJncON95OjDTbjlKqijaaO2NzJIn7rKpjF0XRuo68WrTZcjo4TQ+NE/f7uLaDY+Blz5w+lUaNYrReR9L51lYL3U3h1w2Cfcip/w7wJqB/U+YDwKtUNRaR1wGvArq78Q+r6jeN6lBVS3sxsKkO6tpsYT/7RaCXeZm8jzgeqXOyJbpl7POzaD6LxglUqugTF4bmlyfRe98rbfit+j35lBNc+ezVDe9p1CFZWa8+9WZne2kd7USwUkEfHcLB3gVGzr3qjllL4+L0k0+xdHFl3/rfD2jUIVntAIdDk35asNdZKlX983QF3v/an/X9+nHg+ZP0KSLFlJe+qzbTLRNwkEhFr+LHniD58sMkD36N5MrVqdgwfOGrf2h0A1WSlRXiRx4j+dJDJA894qp1r7NCmW3n4QjXDQ5AJuAfA3/S9/vtIvK/ReSjIvKdW3zmvSLyayLyN0WkxwARkTtE5CUi8t+A79vuwFO9Uj8USNMfgxDfd5uYWcdh11YLW29e06Av2SCKdAAAIABJREFUQYgp5DaOoVbnFd9133gdbHVuQejOLRO6wqdma5OGzjRg7Hk4RBh6Ta/x92raoOwoUB8TkX7e+FtU9S3jfFBE/gXO2OL305cuAreq6pKIPB34ryLyFFXd8Iiqqt8tIs8D7gW+XUTm0n6+Avwx8CJVvbTd8ac7qAs9rfFxNgh3dgxxVnFGenzz3nH63hscg4QhUiqtG0/XGkgUr//xTdBvPza1HTX0wEeKxXUz6ZQ98zNvfgm/fu/9riK2O3+qzit0HLXKMEAKedevKmKME/XaKqgbb+i5DD23a1hr8PL7793sUzrimh4GSOAjhcL6Rml6TXUrEc++ud/T+d2vfvcJO7iCizvRfhGRH8NtoH63pqXeqtoG2un/HxCRh4Ens7HYiPT99wPvn3y465jqoC7ZLHLXXa68frW6IwbGyP77tdfDANNqw9KqY5yQaqkszKH5rGOBjKl7Lr6PWZiHmRIEPtJsoyuV9X5nysj8nMtn923eiqpru7ziNFu2CTa9jdAB+ttXP/0wplSC20/TvMUxWjLLEZmHrxCfv7jtH6it111l7BhUQ1MqYeYdW2Mog6f/3OpN7NLKcK78PuCrn35402s7vabXCltd02EwhQJmfg4tpTeAtXqPrbUbmEIBc2ze3Vi6evqHmYGzD+yXYRCR7wN+Dvhbqtroe/0mYFlVExG5A3gS8LX9GsdUB3WiCLl4xdH+PA/v2IL7fxQ5SdyU2WGyWaQvFdKPwbYb3ksStFpFIsdY6RY1ddvZZguztAJrPlh1BU+p7rlttWF5xVWGGsG21ouhNEnQyhrSTvXVyyXi/+NWOnN3ARCudAgursKlq5uYN5oWH41L19yQAmo0sbU673/rB92N5cJVCtUm6hmk1cGurE5sprFtk2YTuwxSq2+rvmHToqZ9RVdcq5Dnz/7kS3gnjm+4/rbZQhaXnYn3wDU9VBj36cH0SRrvkXyxttvYZVedjFVsp4PtHMI56sceP2yJyDuAZ+PSNOdwJf2vAjLAB8TNdZe6+DeBXxSRCMfp+AlV3bfKt6kO6honJEvLjtM8U3Yqh2GARAEiggQu2JLJIAX33uAXW9qeSx0MPYBiOxHSpYwNlPpr1CHZagVnE7eaHaL1guoGhoufzRKVAmqn3OUoKgQXwdbcZyU1o+iNOZtWo8KGcv6eljuASStRczm36lR1LkXNJv918W3cPfNCksWloRoyQ2G8deGy7jxsVVyViqABbmzN5jVbfW8LMS5g57K853O/zA/8tV/YcP2ntTp2KFSdeFgUp/+P3fdlt93GzghlmrDXK3VVfcGQl39zi7bvAd6zpwMYgakO6j3YhGRlBVYcPc2bm8PeeZrG6TzqCdkrbcKHL5E89sRE+dHB9Iu02rBSIVle2dM8a3z+AuH5Cyyk+VxvpowuzCJPuh0NPKLZDJ0ZH+sP3JAs+HUnvGUam1dK0mi5VM35CxvGe8/pl040PglCvGPz6GwJ9TxMvYkurTg64gC8Ugl75y00zhRIQiG32CF8+ArxwBgODDZdCCwtc8+pf0JcO6Qpgz3AkYjYOg7DV28SiMh3AE9S1d9O0zdFVX1knM9eH0G9yxkvFZ0Giire1QqlqxWw6vRQxrRBM/k8Uiq6lbAxaOC7Pg3OVm1+Fr9UHN2JKnSidWs2VVcJWC5BJoTEorXaZsu3lG1iq1Wk03GbYkFIWC/j1fNo4GHaMabedsU/iYU4dgU7Q4p/1PeRXA5/puzmodnEVqo87dlP4RN/+peYUmol55l1+71GA4yHf/wY9uQCSSFEOgm6Woery0gcu35LRfy5Gddvo4Fdq/UcpcyjFyhezbtUWKeD7eb/u6mPYsHNQxSj1dqeWtQNw4Zrmlin/1518/Dx9z2wb8fdD/Qkkgv5zemUOBn+vbrBMUUqjQCIyKuBZwBfB/w2EAC/B3z7OJ/ft6AuIrfgqq1O4Ob1Lar6RhGZB/4TcBZ4FPghVV0Rl4R6I/A8oAH8mKp+ZryDpRotvocGPtJJS8rH2EwcMnAkCFww724EdqIN+WANtp82sbqerki1zPF9t+KPE/C8npb5IDSOe/RA8X2MTfA7kTu31PgiGUOv3GSzyOyM+5xV6HhghOf9+PfwiT/9SxfMA9/l1BPbS/GIEQgCklxAXPDxBLzEklRraLvtgmQQoEHG9ev7PY0cjeMNT02b5sUzTkQs8F0Vr5FUK2cfg5AI4vvumMa68xbD8378e6YvqPedy6ZUIoz8Xt2wUGCKgjrwD4BvBj4DoKoXRGTsatN9s7MTkVPAKVX9TDqgB4C/D/wYbif4tSLySmBOVX8+5Wf+FC6ofyvwRlX91lHHKMu8fqt8976M/whHOMLhxSR2dpk7TuvpX37ZRP0/8n/+i4O0s/ukqv51EfmMqn5LWoj0v1T1qeN8ft9W6qp6EUe6R1WrIvIl4DRwN27XGOB3gY/g9BHuBt6Wcjs/LiKzInIq7WcoJBPinznrnHhq9X23qJNMBlMu95zntdFEK2vXlMolmYyTzc3nUM+g+QxJMYPNeJh2QnBxleTCpZHUzlf93s/wK/9ohOlyn/0aYZCmSarDH+u7qa9yybUdhUmu02C/nQhdq+4+VWM8vHIRKZX4ud94If/mJ393b/o9hDDZLDJTRvKunkDrTeza2tTZDu4JpuvSvktE7gdmReTHcdWp/2HcD1+TnHqqkfDNwCeAE32B+hIuPQMu4D/R97Fz6WtbOwMbgy1mnf0bYBKLdoJNbcQzEISIZxxLJI5doBomQpWaPHSDlwShY9F0WR2+t7XwV19bkmQ9jdLvUZkNXcoiSaDjpHY1ilyed9jNIZXq3TgGv/eezQZ0ZkOigiFoeHhrOcTz3HfYeC4v72+8zJ/84OcxhQEd+v7zThkimsuguRCJEkQVD0ep3DA8z0NKrsBJMz6SaM+uTew2f0ndc+veDAbmfiSMhwmDXspIO5GjHk4QmD/54S+6VEwmg0lt+jYgLciatF9g87Xaq34ngech2YxjPwGSWKTuXdv4NniduntA6R7Lhus/gA1td4U9K/2/JlDV14vIc4E1XF79X6nqB8b9/L4H9dQN+z3Ay1V1TfoCoqqqiEx0xUTkpcBLAbKBU6JUT9ByHsr5oZ+Jixk6syFx3iAWwkpMUGkjnYEKSIuznUsLYMT3nSF0amdHs4Mur5Jcvrop8IjvY+ZnYbbsglujjaSFSuJ5cMcZFp82S+OkIAkEVSWsKl6khKsxuYcX0SfObyq1Fz/AW5hDZ0ouj9pqo0urJBcuIp6Hn5whKodIfrOMj8lle0Ui6q3P+4c/cx7uvGXjeTdaSLeoaQAaeOh8CeY3p/WUgUVQFEOf9d0oSBjiHVtAZ4qoMZh6E+myalJtna2E1rxiAVmYwxZyiLWYSs3p02y3CrVJz/Lvg28854y8jy3ATXOov3EOJXI2icni8sRPgCaXwyzMo+XChrnv9buydqiKmvYLppDHLMxhi/nedeoWKm24/oNzH09wTcfBFK3UReR1qvrzONXHwde2xb4GdREJcAH991X1P6cvX+6mVdK8+5X09fNAX6ThTPraBqT6C28BmDELylcf3XYcnueRD3y3WkhXyboFZzdJbK/YROMYu7ICa2uICHZEKb3GMXZpGVYrG9uqs4Izl5aYF6H8SAaJLf5qA1lZ65k7J83W9topBscaOb6Ad2zOrWCimOxfPUE2NZnuOR/hKG16IXJPKn34b423832zL3Fa5aU86hun3X7iJrybFlwj3wPjPqeBR1IMiQrOUMNrW4K1DqbRcU9J9SZaqaLNJhoEmGIB79YzGx2V0gpUb6bsjpvWDKjvoWZyXbmkVkeaLff0Bdh4iyevEfiAfTffm//R9RfSm5tW1tBmC7XW9bsDTRvbbKKXriBXN5+b1b7v4D5i8Prbvu/2tYKt1dBWe+h10k6H5PIVZGlzHc5Or+lQXKOK0j3Ec1mX7O3ibw95bSj2k/0iODL+l1T1DX1v/SHwIuC16b/v7Xv9J0XknbiN0sqofDrgUivdIpw+aGI32K155TIyN7tehNNoQa3u6IBR7B7dh62YUtaKhC51IwC54UPRxKKdjvsZ9rjYbmPWGvixdUVAjTSIJwkEPl5hfgOLZNNQWm2ndW4MmgnQIAQDajNQSvVlohhZXVt3PlJNi2k29vVc84PuycLzXHm+P+CxKoIGPjYfYkMPFbCecamV9NSS7Dprxus4HXTbamGMgWyG+FgJ9Q1evYMxxqWPADKOVijdNE6XWaSOetrTU98ONkFtsrXmyVYwnlvlF/L87dt/Frn1NPF8gajsiqXCJQ/TpXYO+awJg15hlTPhbqcpq/WiK/FM73u1ZUotDJ1FYF/bnkWh7yOZDBL4G75XE6chtrj+1xSjxpDaNl4TIbgpWKmLyD8F/hlwh4h8ru+tEvAX4/aznyv1bwd+FPgrEfls+tov4IL5u0TkJcBjQFf/9P045stDOErji7c9Qhigt55y/+9bdEu7gyyvOpccgDMnWf6meWo3G0wMhYuW4hNNvLX2xraDKRXPw5TLveKjUZBk/EdqNcY5LaXB2OYDOnMZ4oKHDizs/KYl91gVHnkCW687vvvCPJQLqPFonilQvcWnUxaCmjL/pTLhZ9suxbAFnvOC7+DD7/jYltRDCULMbafpnCnTKXuYSAkrMZkrLSRJsPmQzmyG1kKASZR8opjFEOp1xPdJZou0TuRIQsFvhoSFEK9WRGKLVGrYxaUD0wkxYQCnT9C4bZZnf+838Kef+grtshAX3M209LjHTKUMS8ubgqgJA8yxBSfSJuJSdYvL2HrdfVdmZ1z6LfDdTbhrOzjQz8i2pBaF83PYfLZ3o7bLq9d9qmZ/MRUr9f+Ik+v9FaDfwaU6iazAfrJfPsbWM7mJh5iyXibjHaWQ2CLVBna14lZ7pOp6aZC2Dz7K3LlLzHUDc7qy1MRuamtKJecJmss4saJaA3v+kjOKGHW+A/0MnBxJZc1pZchA1DaCESHrrac7NsDa9U1A0sf6i5fgkuPm5x70yYeh2/BTRZstkmZz5Fif9Xeezoff8bGNw+japHWZPYFPeLVJuCxIJ8YsV7Erq2gc98ab7aZnOh2SdIWdVKvIFx8i/1DYG39XxkCtbj1H1wi21UIeeozs4xd49ov/Jp94339xabluiqoTDdUBApwOzKXLcDlt2ycboXFMcnUJWXaibDpCSmG7tv3flZHfqyOMjylYqatqBed+8gIAETkOZIFiao7x+Dj9THdFaZxglqs9fRFtNoc+yo3UaBlE5ESlxBkbAiC5rEvzpIJe3Y0bCUJMLusqTq06oaN+q7kNg9D1sUmqy5LNuICSinRp1NnMlIkTtFrDVtbWUyp956jt9nB9Gfoe47MZN75OB9tsDaUzapKgrZa7C4tsvBvHMbbecEJiNgHfR4J11oL7N2XTdPP6YxRHTQTjYbIZ56VqxN3otrje26Gr7/Kvf/jXJvygjj5emhIaC6PabnecI0yOKQjqXYjI3wXeANyM23O8Dedx+pRxPr9tUBeRp6rq57ZrdxDQKCI+t2kvdVfoF9rqab/Mz/a0X8xKhSTNB5tCbj1XHyeYijOO3i7/KZ6HzJQ3SO+alYp7/BaDWZijffsx2nMBXsuSezzvNLNH/aEPkcGVTGaD9KpZq4OucN87fop/dffrNrTVdptkTJaB63e4nK60O8hKxckJ7GFgksB3N7rZEqRMGbvEroSlfvG9P79pHo5wHWL6Kkp/CXgW8EFV/WYReQ7wj8b98JZBXUROqOplnMHqt6SvjU2ruR6gcUyyuAhLy650PpPBzM3iHZsHUsGspRXsEw3HR54pY2652QXqVgddWR0qVaBxTHLlKlxd2mySoQnx4+fxL14mEHFpi62YEl02STddFMVQqfXohLZed1KyA2YG73/rB3c1L4P9bnhvAhOPSaDtNvGly8jVRff7Hhgz7HYejjA9mLK6sih1STIiYlT1wyLy6+N+eNRK/d+LyM3Aremu7Odw/ng3TFAHeoG2q6WhtRqSBlhtu3RGT6cFwPPQwIPIbM6fdyHimA+5LBjPpTcajXU+rk3QdjL0idHk8+urb2OwWZ8kF6CBwbQSgsQ6bnf3JmCTTTogf/mRL7h0Ri7rxuANsF+sOpf6UemNIf3uO/YiLdE395//4hW8uTkndNankz+sbfc6abN5oGYQ4vuYfN6xiADa7WtuJdhLO2Yybl+h3dlxKuyaYbqC+mpa3/PnwO+LyBVgeI51CLYM6qr6DwHS8v4aTmTmrIh8FCf+fjiCu/FYj7gTXLlU5nYkBvrVOE5ZJX3MEhE3hm5gtNZt3Frd/D3qWqUFTuWQmRL4HtLqYIxgk2RbuzopFIhuPUbzZBbrOfldSYfpNwx+JbNeUTrk+OJ5vPP8W/gHN/9TtyFcLribkMXtI6TnYNbq2Cja/z/UnoGD2ZcV/ubjGVc2PzfD73/mF/mBp/1L93on2iQqJp7Xa9t9+gKc/voBLf0kDJFyad3NqNrY81TX9mMIejUOJBZTa1yb78puMF3pl7uBJvB/AT8CzAC/OO6HR6Vf/ifwIJAHPg+8C/gu4HtwPPIDh2QzeHfd5WzH1mrj2dkZD29+1v2hbqdVEsWu32E0xa42yfx6Tl3WatgnLrhS9wHPUW8m5crnMuvjfewcGsWu8nN+DnPcFf5ItTGW7ZhJIHepRfDIZZLFZVBLsgXjQnwf75bTtM8u8NwfezPmOU8hrEZ4ax1X4dhooSsVbLW6XvCxz4FLMhm8+Tm0XATPODu75dX9NdSwiTMHWVrm7pkXjbyRuPSba3vNbjrbwDYabjO+H9d4TLZe3/zdPOT5jcnq1g8OIuIB71PV5+CI2r87aR+jVurfJiJ34cS3/jHwVOAu4PXA/9jJgPcccQJXXDBz7JExVgpq0UYzlX31tm1rm63hVW3qrM7MagXqzV7bodolqU2aYRVq4cbx2gRtt9HKGqRWbtreughH63WCxxfxV9ZXaraytj03PknQlVUywN0/+h38yX/6hCtmarUdtTPamEq6FtAoxq5VkchtEGvUuTZ2dvk8ks/zvBd9J+//nY86m7+tWEvQS8EdGhyGAHoYxjAuNmlZHF6kPqZWRGZSiuPEGMl+UdWHRGRZVX8KIC0iejvwt3ZysL2G4/tenfBD6lYZe+AIMwljRDsdkige6lKvcTzURWgYduxmo9rTPLnr9PeRfOWhyfvYa4yy/NsviKtCllKBu555J/KeB5zZyDbc/iNMM2Ta0i81XNHmB+jLpavqT4/z4XF46n+j7//vUdVPA5+eaIg3Orrpl/m5XvqFA6wS/PV777/mxzw06LOz+7c//KsHPZojXCtMyUo9xX9Of3aEbYO6qrb6/v//7vRA1wMkCF0Jdz6tumw2sbX69nl8VWy9ibHqCpXSAp2txJVMPo8UCkgmdG3rDZJafc+qCl//3+/jFd9139jtxffdeedyjt3T7qDV6oGyQCaByWaRUml9PtPr9qt/9i8nmocjTDGmKKir6sR59H5Md0WpiKsw3A5JsmXJNrig1WPCjCjvxgiSCd3GqIgTw2q21r8vxnMyu0YcLbBPL3vsqtbuOc0UsdmM0/7oHscm6/rUQbrJG0Xja5CneNtr3rV5vANzZLJZF8R936n8ZcKesqKIoH1FWvuGwfncabl8V1c8lX4gTkCa6/NwPWHENb2hcQNNwVQHdclmkLtuH91GnTSsTTXSB9HV0+6KNEmtgU1FmgbRLYDh0pDj+L4T2uoTaSLVU9/LPypvYZ74rptpnnTGB/mLTbyHL060t3D+qxeRIHQ67XNl1PMc+yXVU5cwRL/xLhb/WonWTUJYUea/2CL4y4fHzv3vGn0sJc2EblN3pUKyvDpxYLf1+tDref6ro0VApw29a5pq7/df0xs6sE9fRemuMI5MwLer6l9s99qBYVuquYzUZ7OdCBaXkDUX8G1XTnVCaJJgVytIo+lWskniRMCG0QszGbyTx0mOz5JkPEwnwau1kWbbrSQ7EbpSQaIYVcV2OuuCXmtr+A9ayk9kU468QD6Lf/bWTW7yPfu9fNatdJtNbKXKmz/1Wu655SdIVlaResPpvyeOhUOq9e1dXmUu9IguBIiC+kL0tDsRq3jVFnLhKsnSMuJ5eDcdIzm5QFII8Fox3qUVkstX0TjCv/kUnbtO0LzJCXx5LSWox0hkSfI+zQWf9qygnlC4mFD+3FWShx7BhAF6801UnzRDu2zwOkqmcoygFmMii2nHmGqrJ0ds81lsMcT6Bq8e4V1ZIbl8ZSSb582fei0vuP2nMOUiks+vi3p1EbvUl61WDzcHO4XG0dbX9AbHXlMaReS3gO8HrqjqN6avzQP/CTgLPAr8kKqupDLkb8Sp0DaAH1PVz+ztiNYxzkr9N0hlArZ57eBgQbqP1YNfYFVod5xueQrxnWGGeJ4Lxp1o96kEdYJe47i0SKqCmGR9kpwHnmA6ieOvxwloZ0t7uw2Mm67416xzZhp0kxcRp9cd+M5aruMey+85c2+vr2Hj1SRBK2sEgJ8NIQyIZ3N0ygHqCRkg6E97+b6rbM37iIIX9H2tfI8459MpuoAZGEXUw0SGOG+IikJnRlAD4ZpxtQP9RWHiftQINhSSrIf1BU9AOr67CRqDZjySrI8NjbvxDGrED8E9Z+51qS7fh8Dpww9ep02B/jBjgu/gDYe9v6/9DvAm4G19r70S+JCqvlZEXpn+/vM4g4snpT/fCvx7RtT6iMgfDRlxBUdQub9/n3MYRhUf/Q3g24CbRORn+94qA9v/xVxDiHU63eNYX/VEuubKaDbANDuwhZ76fsG2WvDQI5iH1h80dlRxr4qtVrcs1rGtFvbS5uv//J/9fv7gDe8b2W+/lZxkMgTzc/izpfVUTbXWK9uPnziHPHGObilX/5o2fuwJwseeIBxymIDNniPdK2BbCXzuyxQ+19N/3Hx+A797rH8xx1lXd+chuXxl+8ZHOEIfVPXPU+/lftyNq+sBVzT0EVxQvxt4Wyov/nERme26v23R/deAm4B3pL//MFAFngy8FedTsSVGrdRDoJi26TenXAOeP6rTa4Z2Bx5+wqUouka+26BrUSepvVpPLOsG0qteuHl+ovba6ZAsLiOVNUgf6+02+vLTgEnn4QjTi2tUUXqiL1BfAk6k/z8NPNHX7lz62lZB/dtU9Zl9v/+RiHxKVZ8pIl/YbhCjKko/CnxURH5HVR/brqODgFo7dANsE4Y4z4+sIBwX/f0OGlykEryHMRd7/yvetn2jfvQsyXbPqRffd3ZwnnfgczTxPBxhejH5RukxEemvx3lL6o883uFUVWTHt5KiiNzaNcUQkVtxC2yAbf8IR6Vffl1VXw68adjgVPXv7XDA1xwbnOeT1CF+HJ2YURDBKxd7tmMbNmwtfRZle8t+2Qu8+VOv42XPPAA9NpPauM3NoLkQaUXOSnAHjJa9wIHNwxGmAYuq+owJP3O5m1YRkVM4gwuA88Atfe3OpK9thX8OfExEHsbtKt0O/DMRKTCGFsyo9Mvb039fv10nhx2TOM+bQsHZuuUyfa5D1c2rVFWStZrrVzavAqyq03Y5LAG9K0A2U+bf/fL78M/eilZru99L6FbLzjgfV4litFJ1NLrBfm1CsryKVGuOndGdowNKfd3QlbU3Eq6d9ssfAi/C+TC/CHhv3+s/KSLvxG2QVkbk01HV94vIk4CvT1/6St/m6La66qPSLw+k/350u04OPSZxnldFo8gV3CTW/WwlHN6vez7gJk8UOxphGrD6HeKxTgys55DUtWrz3eXY4FK/h9AkQaKI1mrdjW8cAbSx+rVIJ3LsmzjZxDRy8xKsW+p1ovFt3/YRjeoe6r0MXH+NYme5d2QWfTiw95TGd+A2RY+JyDng1bhg/i4ReQnwGPBDafP34+iMD+EojS8e4xBPx1EjfeBp4gxzxsoXjsVTB+7D+eT5uMcBVdU7xjnAvqO7St6jFfFOxb42OMRnfKQx2iHeq1R7kr4mm8EszLsCKNjgUr9nUO0V4dz3kV/gxV//M3vX7wgGjuRymIU5Z2itiqnUYGnZsVsOGL/0R6/cs3nYcP3T4rPe9T8sT2s3MPZ6o1RVX7DFW989pK0CLxu3bxF5O3An8FnWCWHKRvrklhiHp/6bOLH2B/oOcCgQ31Tg6vOfhdeGmUfahJ9/jGRxyRX3zM2ipbRKtNHCrqxOHiSNhzc340wJBrXXu5WqK6vbqyaqbnCIJ/ChVMTcdjrdZBXUmHW/z2IeyWfxrLp0xloVu1rZsw3FPQvoQyBBiJmfhVIBjEHaHbRSxV68vLtS/33AXs6DUwxdQpZX3e+j5CamHCafdynK9EYt1TrJyurh5sdP12V4BvAN6c1gYowT1Cuq+ic76Xy/4XWU0vkEEynBcsO510AqmJXmuo1xBRk7DIjaiVzefDBVoanlW5pqUKtoo4kRQXwfjaINX3LxA2cBFvi9pwtpttefNGB45WscuwpTu3ffyh999Q/y9te8e8/62wC10G4jxjjxr64t3iH8g9/zeUjTfNc7tPv31f19oLjvUGK6gvrngZNsTXkciXGC+odF5FdxUpC9v8z9LHMdF1JpkP2jTwIbC1F6tnOrO9KYX4dNRqYWxm4rginknPNR6pLE6hrJlcWd51z3OO008jjjHkNkZ3M/ZKMZ2Ptzu1Zzdp1jEh+BwwDR6XE+SnEM+KKIfJKNMXcsxuE4Qb1bztpP71Gctd0RxkGafmGtlpbwj/YhHYXeo28xdT6qNbBLyxPJ4G67OhXBm51FZstoNnQbqqtrw1NAxnPsl/62K5WxWDW9NFlqZ7cBiXWWf3vwWG9KJUzXdjCxUKlil1f372nlCIcP0yXodd9uPjyOnvpzdnOAQ4d+h3jfdw7x9cZwN/nd9NuJNjjPSxg6F/gwSDW9W9hmywlvTeoQ73vgey4Hn89iZMFZwiXJBmu2rfr9rc8jXvufAAAgAElEQVT/2qZ88gaH+NSdiWbLSf7OlKg/607WbvWxGSfKFVaVoKEkgVA7Y6jdlsBMBGsB5QdPMftgRNCI8eoRZrWO1BoMpgglDLHzJeJyFvWFJDTY0JCE4jRkWvN4rTOYxCKxYtox0nJSxHQipNl2TCVj0NkS8WweDTfeHFSExlxA4yZDVBJsAJ3Z40SzCR++5yU85x2/SbjkEVYEE0HhkqX8lSrexUXXQVey1xh3vJXKoaw9OMI2mKLLtVvG4ajio58deEmBReBjqvrIbg56oOi6yc+WIQycQ7zVoW7yE3XreUihALOlzc7zgMlk3Gq2azxdqSIptW9ih/jEgrVuzyDw0a6AVhQjYpC0SnNTv2t1pNPhX/7d124ef9chvpjrte0+AXjlIktP8Zl5ziVuLy/zeHWOc5fnkOUQG1qe/HXneNXZ9/PsnOUjTcM//+LzuTx7jLASkFnNUnoiQ3gl40TX+k8jExDPZIhKPtYX4qzQKQtxrruqWpcYMhHuRlK3mETxG5ZgtY1X75CEPq2b81RP+8T5jSsyNdCeUzqnIrIzbWaLDf7J2b/gJTOXoP1nPHL3o3ykafiD5WdyqVXigS/djvVKzEUJeEJcyhDNBNhACCsxGVVkSlQbj7COaUi/iMjHVPU7RKTKxttQl3FYHqufrTZYReTVQ16eB74XuE9V3znhmPccZZnXb5VNDKLx0J/H3ctV16h+x31vuzFtlYMes98nfcsdPPiZr23fb7cvEXdTCsONhhWqjl3keW4D2Hgu5RLFrvxf1d0w1a6nnDYcz6T/yPrvZsS5DfTR61OM68MbrjPn1BadlEP3Rojv86Sn3sqDn3vcbUZ3N7y7/PJ+rn3fmK5XRsu04RP6IdZ0eaycSvbMLXrLywbXqKPx0C/87AM7qCg9FBhVfPSaYa+nmsEfBA48qO8K+/WHOarfnb63x21ffv+9w8vjt+pX1aWR9trpSLvMod33oxYXnIe9vcXHfupf//OxZAJ2Pb4jHCymaKNURDzgC6r69ds23gITi0Wr6jJbsO+OMB040jtxuC7mQcRZ2Pl+ast49Kc5FDrhzwFBVRPgK6mI144wcVAXkecAKzs94BEOHve+/oUHPYRDgamfh5Sl5J+9Bfn6uzB33IZ3/Kae3MQR+jAlQT3FHPAFEfmQiPxh92fcD4/aKP0rNp/ePHABmPK/hjFhPEwhjynkoVtQVKu7CtIpzqsuXVhet9SbL6OBwau14fIiyfLKVJybyWaRYgHJZl0hWL2OrdWHbmCabBYplZBMuKHt0oXlAxj5HkIVW6tjksRpCiUJ2mpvKVZ3I2Na0i8p/p/dfHjULf37B35XYElV91CQ5PBDwgByWafn0fF6bJb9PaggfrBxU3IPKxX/4A3vw+TzaD5LNJclyRhCzxBUsnt2jH2H5yHZrOOeW+vy6fUtBLo8D8mE6207EUhztPvTlECjDsmRaNh1hX2jNB5WY4xrCpuQLC3D0jVc0XWlbPvEv1hdwy6v7pni3zvP3e98Sr/0IP6X1r8E00TS64qT7aZtbx6OcP1jClbqe0VpnOrkm4Qh/ulbIbFoo4GtrDl+dhCuO8QbcY+klTXH4DCeM80oFR21rd3B1urYWm1z2mGbtiafx5RLkM1M5jxvPGewUSy6QqJ2B7tW7aV1bK2ORLGjCmYyzk/19pNYf8AY2Sr+Uh0uXnGeooPzk8lgymUk71bgWm9gK1Ve9sxXYrJZzKkTxDeVsaGHv9ZCLi6RLC5uS6f0z95K9WknqJ52X5/MqiW3GOPXN5+3v9pCLl11N0dwRtnlUo9fr4UsST5wN7NKC7l4hWR5BfE8vBPHSU7OkeQCNDBEBd9x2EUI1xKyl+qYSh0NA1q3zbJ2S0BcEDIrytwX15AvPIztRHh3nWXtqceonfIwkdMLyj+2xk//w9/AP3Vy6+t/hOsD08N+eSGAqpa2azgKUx3UEVxaxNhexabGsdMtLxbQYh4VwYigjeY6Jc9LKzIDH0nsUJOLHlIO9tC2Ii7X7nubneeNh8llkayr5tS0wlTjeJ1T7Xvus4m/wQ5P+wqPTD6PHJslKgYkOQ+xiiQuoEuseBnfBf9h0yPitL0DH7HaU4Q8/eRTrHzqUTTwsTmfJDCYOMTPZ10FapKgiXWer0MCnWZDWjMerWO9kyVoeoiCGsEGQhIKCGR9Q6aS2kuL6aVBNBeigUdcyhDnPdQIoRGCzhye8RDfIzk+R+tEnqjgqkw7JSEqun4zy4LEOTKqaOjTKXlEZSEquEIlm/Hx0jnVMKBTMEQlMJEQFQwa+px+0kmWr6whcYKxdtvzPsIUYzou57uBp4vIh1R1hwU4Ux7Utd0hefBrbuU7Pwsnb4JssHEDe5BjbBOSlRVYGYPAs03bUSkAb36W5K7TNE7lQCB3qYX/8EWSy1ec6NWYaR2NYszKGllAPQ9ptaHPJm8Uhdq2WthLm7nlL3z1D/GK77oPvvow5quOAmUKBTg2j5w9A4Cp1LCLS5s1ZVTRc5e4qdlm4YE8Yq2rPk3beuUy9s5baNxawAaj6XUSJQTLDYJ0GpJChsZd88T5YxNJdZh6m5mPL1F839IGnZju3NjPf5m5zztKQe80gB/5N8/n597zMcyxBbhpDjUGr9bALq2MJ+J2hOnBdAR1IyK/ADx5SEU/qvqGcTqZ6qDeg02wqxWk0RzK003i2NmmXcshrVbwvhhReiTdfGy3sVtt5I2AxhHJ0gqyVnUqiEniVvG7WEm+4rvu2zzeZgu9dMXR4VSxqSn0MNh6A+10nMTwQNukVsc89DjFc1m30duJSLpsIU2vU60+tPrT9zz8PoPwfogxTlPH99w17j75tNpuDFHsVtiTzoMIenURWV4BkQP5rhxhfyFMTfrlHuDv4+LyjlMw10dQZ2PK4jBA49jluYfkuifrSNGos6e2aC+//97N/pxda75x2D2j2qYSxGyx0j1M16k7D9puT8lC7gg7xhRcYFX9CvA6EfncbjwsrpugfoTx8dVPP3zQQzgUOJqHGwTTs1EKwG5NiY6C+g2I97/1gwc9hEOBo3m4gTBFQX23uPGC+qDre2JdXjZNb4jvO/ZM4LvCn05nXWvdeJhsxuWdjaCdCNtqH5znpoijVZaKkAkdtbNWI1mrjRzTeytv4+7ZF21QXtQoXrf96/ZbLrl+oxit1khq9YnPVXw/ne9gfT47ketnQP1x0xj66I9EsaN97iH18L2Vt3H3zI1RHA1OM1+ymfXvfafj9kJuBKbPDXCKXdxwQV08D1MuO+53GCDtDrK86px61GKKBWRuFlvIIUmCWa2ii8to1MGEAWZ+Dp0pAmBqDVhcntzQeuQAx7ePE8/DHD9G645jtOd8/IYl93gV87XHR5ph33P6pY4COjuDzpVRz8M0WujyijPI9jzk1HGaZ+fpzPr4dUv+sQrm0XOjTba7m9R9krqmVELmZrDFLFjHquHqIraVYDIZzLEFdKaI+gZTbfbGYDIZ5OYTNG6fo1MyhFVL7pEV5NHOxlz+BoppH6W031lKpCfP2+86dc/pl24e/7C5306meRLLv7387ITHMcUCLMyi2QzSiZCVNezKyqHZ49hPTFP6BUBEvg04S1+MVtW3jfPZ6yOo91uqhYEzn1hdcxZyAyvLLp1QVlZcEMhmMOUS3p2zbhXfbKMrq+iFS85Meo9L9IfBW5jH3nqK9ok8KhA0YvxKG2lu3hyVVuq+U606Jky1RuZCSLAaIu0Es7RKMoy90a1UnZ3hm7/3qXziQ19Aq3X0sfNoFJOo7WmFaxxjH32CzIXLZLxUAbCQh9Mne9zv9cEbkmKGqBxiQ0PzmM/yN0Lx61aYybVYrBWoX83jV3xMG0qPzTH35WMEV2vECwUWvz5P9SwkIYSVOYrnT5FdThBVrC9Y3wVUGwjxsSK+fxasxeZD4nKGOOcR5wxrt3nUbv//2Xv3MOm2ur7z81t779p179t7f88BDgfwPuhw80ImGjSjaELyKAyokABBngQDRp0BjI+AmhEMGslIMpxENCJBJRODUQajInEcBzmAqFzkcs7hcN5736rrXvuyfvPH2lVdVV3dXd1v9/v2pb7P08/7dtWqtVetvfu31/6u3+/7TaEaY5ZzLP6VsPiXdSROWX/qPDefbbn3icvUOnnijy9w6f/t8XVPusiHP/wQSTVPUvJRAb+T4m/0MO0emg/oXizTuuCTFCC/psx9poZ+9hE0ivAvXSR+3FmihRySKkEjxqv3kDhB8wFJNU9c9hGFcLmNefQG6cqq06J53GV698yT5g1ezxLUI0yz62z8Gi3seg3b7Tr3qvk5Z3YS+CPnf68SzGmthjQaIMal/d6Ba/vI4BgFdRF5F3A/8Amgf4IUOEVBXd2jJO2O+4OK4+yxcpssbptuvqUW9X3nymMM2nU2c5MyOzS1aKuNpOmg7UGscrTbw9toERrcjaWbYFod5/c53rYXjaQ0aruDrNTwwhwkiUs33EbQSaMYWh2e+91P4yPvexDb7mxLH41kqRgPL03d9x5PNxTBS1JMlKKBh9fLkYY5mp1FWqHitYW5GgRNxcRQvBUTrLWRVgffCJUrAV7kkwZCrmXJr8b4jWjLykriFGn3kI6jwkycEMQpfhhgcx4Q4vU8kqJHrq6Ur0Z4Gy1IU0rXS8x9JuRG7QJeV5h72JJbafPc1z6Nj/y3vyJILF4ncMfpJph219nlRTGhbxBbIM0Zco0YU2+T9g01ul38WhsTu5uhaUdIOwvMUbzZrypmo4323E1aU4tpdcit5tCcj0SJ+27dCGxGi6TuAtW+K1e741JIx87/npDdsE8dDkF5UUS+DPiNoZeeCPwEMA+8AljOXv8xVX3/Hrt/OvCVup2D0W5j2+fnjgQOxPnoKH3/7Spbd6IEdqMLdsJun92OzpgGR3F+jxpmc7Rv7MX5qHDhXr3/JXtzPvrUv5ze+SgztrgKPAt4KdBU1bfu6YCj/b0XeLWqXt/P50/GSn0vMB7ewhwszA08SnV9YyJVc8eGlM9jlhbRcnFUagDcar3WGHCfplh0vH4p8xJttgdeohI4nrzvk7odXvuWF/CWf/ZuJxRW29jar+856qAakOYNQTMlfKyGfunq1grTMUiQw1taQKtl8AzS7mLXakeyQvP1v/Yafub733bHjyu+j1lYcOfJ97JrsOauwVmAPxwc7rQ+B3hIVR/dUXJkepwBPi0iHwEGlIGq/t1pPnz6grpatNN1uii+72iGXm97quZODClJ0FYLkmSLDo1mYmVqM7olTtBmE2JXPTnIFsFxpNrtIjWQ8ZvDED7y/j9Hmm3wfczS4uYbSYJsuMrVoN3F3wjRwEOiBDamM1vWNMW22ogqIuLogm0qU+82Pvy7H7srx1WraLvtKh094+jCbm8W0A8Rh7xR+kLgPUO//6CIvAT4KPAjqrpXU6E33s5gTg79Mpx5MU4V9M2RMzrhVG0QZZkfwMi8SJDDLM7DXLZabHfRtdreN+AOaXzHBsd9/PvFXf7ee6VfnvR9e6NfPvnzP/wosDL00gOq+sB4OxHJ4YyDvkpVb4rI+exzCvwUcFFVX7ang98mTsZKvS/olVEq9CJY3xikKfqXLhLdd47emRwmUgpXm8gjVyfK1Z4kmGLR0TqVIqgijTZ2ZZXfa7+LbzPPJ715C24tb37gDv9hShjiLY5RNXdQTOv37Xv5NvP8/X1YBK9SQZYWnPlG7J5mDlL3/qjClEqOqutfV/XWgAI8ktjfRunKlJz6dwAfV9WbAP1/AUTk3wF7dmIRka8H/g/gK4Ac4AGtU6GnvgUiqCdQDKF8AXncRQCSwK0ocrUEE1ukvUlZiO+73PR83mV25AK0mMfmfCR2eerp8sp0mijDQxnuV5ymu2223B98ZpMnxQJizKZN3l7/KETwFhfgzCK2GDrFxH6GSJq67xLm0H4aYjGPOX+W77j8T/HOn5vemi/TlaeQd+ONnK78xDnpa9AXC+5779BWs4IiiWOXZtfrORpimq8ehm5+c5lFXbuDbbf3lN2x74AOTvSs18Os16CZcxlVO1jJDez3ggC11o231d57MVeQc987zG3ZEN9Tv+PXYBQ5vf1J1+DY+UddERnL7lypEczCPAbQJHXeBkfI8lGyn0PCixiiXkTk4tAG598HPrmPPn8RR+m8F5cJ8xLgKdN++OQEdVUkSSF2WtnJXEhc8lEj+O2UYKOLaUeQpFBvbirxeR5SKKCVEvgetuRyrpOChxdZ8qrIem1fQX3QrwhiDNJzlatixP1RVkou97jTc3ZsvT3yqmKQconoXIVoLsAkStAIndnEUHAZ/N8zaDHPNz//WXzov3wMSVM3pl0CoXgeFPJQLTv993bX1QJMmJN+W62UwBik29u2LTZ1hVv7KN6SXA7JLPmw1v3RdvZ2U/yWFz2bP3rPn+z52H1or0c6zXXRr2Iul9BCCHHi9PA7nT1v5UjgI8WC21Q3Y6EqTtw5naJfyewAh88p8eRrcNL51/7md2Z+zXwVzeeQXlYt3OmCHiGK8xDuLyJSAr4NGLbP+lkR+drsiF8ce29qqOoXRMRT1RT4ZRH5c+D103z2ZAT1cds5EQwQDjVRIJ1k+NDrkVy/Af17qwg+mxMz6TNTDanbxQ73O3zMJCFdWYWV1X31vXmQlOTRxzBfusKwu6iFHW8Oz/znz+UP3/qfpj6MxpGjam7eOtC2twPbaNw2TfP13/m02wrqU0P1YBQ7AdtfBd/ukOKIdHkZlpena7vdOVWd3p/gLuIwNkozv+alsddefABdtzOu/hMi8rO4KLJ95sMYTkZQH4N4nitP71MA3S620XSrxb6mSKkIQQBxjG00Nx8X9xDETbGIlErO3ShJ0E5nV92ViePt2+8VXJqidjrYenNA1Xjlkqvo9H33mNwfr/Hwlhbh3CJpJUQSO1IAM9J2CJPS+CQMMZVyRkMZNB9iyy77xXQTzHKN9NbKieKL70Y64wx3CUeDCZoWL8YF8R8E/hlwL/Dd03546uh/rNDnxgshWgidQFe/ElKME+Qq5N2jcD4T7+pDxAkfhSES5MBMtorrH0fy7hgU8hDknFVdv5++OFiYiYBtk8MqnkFyuc3xZmJjbrjiNn+z8Up+tC/JhyRzeXoLIdF8SFrNZ3ZxmVCW52057k++77UTxuAhoTu+FvPYSp446zeZy77j+OP+UYLxpj9vGSbNwwxHCPs4p9tC9/hzF6Gqj+K2AS6q6ptU9YdV9QvTfv5ErtS118seFye8uYtFXT+joS/oJbUGaSbotaWrHSgAUyi4zJNqCciKhLYR/xpQNZO+y05UjaYkj11BHrsyQjXt9pwwSXJ20mP9CA21S593Ff3sp8X5gUgb6xuka7Udn5pm0rtHGEMZbRrmpj6nE3HM9NRF5O8Ab8VlvtyXcfQ/OSs+2idsu40kyaZVWxTt2SYNcJoqyytQ20BEsH3J2SOAv/jQp+72EA4WNsVuNJBOF/E8V4TVl/fdASduHk4S9nlOt8UxCuq44qNnAh8CUNVPiMh90354FtTHcGB2azbFdlO4m7m7IogfDKgcTS2axPz61Qd43txLHD3k+06cLE1dRtAxLcraj+Vffx5mOJo4SBvH47RSB2JV3RirLp/6G8yC+gmGKRYxZzJNGcBkRSLPm3vJpkZLpqfuDempH5X84sPGLKCfIhyvS/pTIvK9gCciTwZeDfzptB8+mRulMwBgO13SG7fQRx5DH3mM9NYyttPhua/4VjSJSVfX0UevwiOPYa/dcJk7pySgAzz3Fd96t4cwwx2C6N5+7jL+KfBVODGv9wB14Iem/fCJCeoS5DJrt4pLNfTv8kOIiEsTLJXcmPL5/e3eZ9k4g3728t1sivZ6g01QzQpLnvL0+11VYBy591pZNes+qRfx/dG5D3L76udO4ylPv/9uD2GGO4G9Zr7c/eyXtqr+c1V9hqo+Pfv/1DzuyaBfjIeZq7jsh3yAdCJkvzvlBzWkCdkv+7G+Ez9wNMncpvONrNZIa7V9r6p/4ZXv2NfnJsJ4mLmqm/tCDukeH5u0A52HGY427v7qe1eIyG/v9P6pyH6RMIf3+CciqYVOF3v9lismUp1600/C0NmFlYqoEaTVwW7Ud6/aE8G/cJ7k3rPE8yEmsuSu19HHrrnVb6eDXr+BLLspttkm5V6hceRSGtdrLosm3bSd2zKkvvVZJSvn7vTcdxkza37rB9/Ij/6tN+743bzMW1RzgXOT2mhM1py3Ken6BtJsufHtYe7vNnadhxlOBIQjQalMg28AHsNRLn/GPiVrjnVQRxWJYlc92e2hnc6eV4fi+1AtkyyVnU5MLUC6PZgQ1CXIYeYqrrrTGGylgC04fZkt059Zh001HuNh8iGSC7a+Z51wlEYRk2SShx3iyfxESVLEWjSOnbDX2Od+9U2/ueuQNE2dKTc4vZxhLRnfdwVSuQCsE3eyUYweg0A+jGnmYYYTguMR1C/gtGReBHwv8LvAe1R1T7m3hxbUReSdwHcBt1T1q7PX3sg2/n0i8nrg5bg6l1er6u/tdgyNYpJHH7u9ceZy2PkSnfN51BMKIgRrkzlhUy1j77tE+3IB6wlBy5Kr9civdlyh0kYDO8n0eReYfDiQyNUxY2eJE0ytPlnSddwhPk7QWh17/caON5Orn9vFJUvV8eytFpPc7iUMN7NqVDH1FqysuhTOY4Rd52GGEwM5BgkAmXjXB4APiEiIC+4fEpE3qeovTtvPYa7UfwUnITnugP2vxv37ROQrcVKTXwVcAv5ARJ6SfclDRVqrIX/ZpvTpbCrSlGSbIqF0bR1ptjbbqrr8bqu35c5uOx3s1eubUgZD2LHfcYd4tc4haZcxvP3BN/PCe7YXjxPfx7vnEtG9S8RVH7+dkrtSw37p6mDjVa/2jr3pyG7zMMMJwRHY/JwWWTD/TlxAfwLwr4Hf2ksfhxbUVfWPReQJUzZ/HvDrqtoDHhGRL+Aqqv6/QxreJlSdjvc0Eqp7abvHMaDp/uiLfTjE7xbI1Cra6hCstvA6Oed232xvUjAnxJV+FtBPD44Dpy4ivwp8NfB+4E2quh8t9ruS0viDIvKXIvJOEVnIXruM2yDo40r22gyHgO/54e/auYFNSZeXST/9OfSjn8T+5V+T7ELpHEfsOg8znBwcj5TG7weeDLwG+FMRqWc/DRGZWrf5Tgf1fwvcD3wtTiP45/bagYj8gIh8VEQ+GnPAK+ZTgqVLi7s3OgWYzcPpwXEoPlJVo6qV7Kc69FOZ1soO7nD2yw7+fVdxmsF93JO9NqmPB4AHwBlPH85IJ6NfZEOYaSL2ethOdyp9CglD99lcAGmKdrrYzt4LfiaOYY82bu/40fFtjruEvqVaPu9kfXs9bKsz3XwGOUyp4ObBqtPM36M93JGZhxkOH8eAfjko3NGVuohcHPp12L/vt4EXikiYqZE9GfjInRzbNBDfR6oVOOeMKWRhbnIa4pYPCiYMkfkqLDmJWCmXJm6M7tpVLufGcGYezswj1QoShq5a1WzVTp80lrc/+Jbp2h4yJPCdWcniHCzNI3NVZzgyzWfzITLXn885d3MI9rZGefuDb9nPsGc4btjjKv048O874TBTGt8DfDNwRkSuAG8AvnmSf5+qfkpEfhP4NJAAr7oTmS93DH07s2Ht9f3a5GWFTbDp8GTOn0Uy70u2q+bMvCRlYY5//bMfwLv/8VBr3NXKT+31SG7cHLVJm3JebKPhiqr2+LlhzCpKTxGOeaDeCw4z++VFE17+pR3a/wvgXxzWeA4CmiTYjTqSyenqdobK23ZwQFdW1o8mCbbdxqiFIHO073QnO9qrDtp2vlSCtdr2be809jsvtzmf7Ubntj4/w/HAMaooPRCcGEGv24LxhrTFt6clNEmwjQbpyqr7qdfvekaI9nqktQ2XrbK6tum1ukPbN/2HH9i17WnAT//X193tIcxwp9D3H5725xjjeMsEHABMPu+qOefKThFxB9u5k4KXfvlr7vYQjgRm83B6MFupn2SIYCoV/IsX8O+9xwX0JIGbK3DtFnZl7eCLi44YXvyG59/tIRwJvPgNz8eUSvhPfALyjK+BZ34N3pc9CW9+7m4PbYaDxDGT3r1dnL6VuhhHs+RDJ2UbxdBqnSrHnxk2Ibkc6VyJ7tk8aoS8EbzadBk4MxwfiD2EPkW+CDRwelWJqj5dRBaB38CV+H8ReIGqTna5PyScvqBuU9L1dVi/o/N8pPCuN733bg/hSOBdb3ovJp/HW65RjBJUBNNsY9uzDdQTh8Nbr32Lqq4M/f464A9V9c0i8rrs99ce2tEn4PQF9TGMyOnulrfdi7DN1kCf3BSLmGoF8qGT/222sI3G7punxsOrlpFyGXzP9Vtv3PbGpfg+plJByiXwxpg1VbTVxjaavPMvfpaXf+1rMRfPk5yfwwYefr2LXFshXVnZqso43K/vofkcthSS5v0tc2YDQ1L0SIoGNZDmhLgIaSiYBMrXU8oPNzC1JqMHEdL5Mt0LRaKqh3qQ5IWkKFgf/I5SWLWEawkmSvFrXeT6LdLVNUw+jzzxcbTvmyOqeJhE8VsWv5MiicXrpZhmF+lGkKRou43dqPPOT/4cL//a1w7mB09IlyrYSwuoZzBxin+rjr12wzlDzXBscQc59efhUrkB/gPwIWZBfX/YzF4xYO3UWubiGSSfR0sF1BjEWqcfbq0LWL6Heh4YkG6AUXXv4QpgCAJnSAFbA+l2xzQCnuf69j0k8dy4+zAeEviuOGm37zLc1vOQMJeNeUzC16o7JvDjf+fNYAwa+NjAw+YMGniYncbvmcF41fOwOQ8beujYfdDmDFHFEJcF64ENhDQPNgCTuEBtcx7ijxVeiWALPnHFozcvWE+wOUjzoAandd82+KEBAQ08pG8P6Hmk5ZD2WZ/enOD1lLwniIKJ3b8SeJBk50kExPDjf+fNqCrai5CO726wEqIFIQ0NGFB/7PlEVs0AACAASURBVNzMcPygHBa1qsB/ExEF3pFVu59X1b6m8w3g/GEceCecjKBuPMz83IHY2Um7i11dxzYaboW6sIAszqGhj+YDNL8A5xaQVPedKaNJQrq6BqtrEwYgeFmlZF8j3Ww0nEn0BD31QdtiiPQyPfXHru54QytWCtj2dfjcQ5jPud1yxVV9bTvelVVYWd08NJMvHglDSosL6EIVNQbT6qCr6674agiTzop3o8L8tQVsuYhYi2w0SVdWJ25c61AfmiR4Gx2KN/MELUOunlJ4ZB37yGODOZtEqRYrBZfmuby8qfCPm49+GD8CWfwzHAD2sVI/IyIfHfr9gSxoD+PZqnpVRM4Bvy8ifz38pqpqFvDvKE5GULcptuYs1fA8p3GebFqqmVLJ0SSFvFv5NlvYjQYaR0g+xC5V6V4sowbyywGm1Rmt/swg3RhptLDNFmotFPKYxQXM+bPO/ajfzipE8UQruV2hSrpRx3Q67ruoYuNksh7KhLYaRbs+ofzQO17Jq54x+kRo8nl3YywWHFXTbGPrdbTXcze3uerAJm9kTlI70lajiHRlDdmog+dh77vM+jdepHXZYGKY/3xC+c+vkFy9tvM0GAPVEqaYd/MX+NhynqQcoCJ43QSv3nMuVSJo4JNf7hCuG0w7QupN0J13x37oHa/kB5/9E5hqFSln9Fu7g61tHDjdYkolN79hzl2DjSZ24+7XOZwa7D20rqjq03fsUvVq9u8tEfktnFz4TRG5qKrXM1mUWzv1cRg41kFdjMGUKwOKwvZ6LgCIILmc01vxPKRYQMtFNMy5FWAvcgJSgKYW6cYEjdh5lHZiyP7Q1CrEEdLqIJHvAvUwpw5IEIDvIRY0cI/w1hOk62HSFBFxNnRxjI3iyU8OxsPkAggyHZlB2ykCi023dxwa6ldEIPCRIOA1f+9t+BfOu4ASxaiq07DxvKECDAtW+xON5HJoIUQDL6NuPKxvEFVMqYBXKjiZguw4fdoiWiqSFBwVAxCXDfbMnLvw0tRZ7mVuUbIwR3p2jriaQz1HgSQFg8349d6CEFfBekrQCsmvFglaikkgt5EQrvVcQO8l4HmYcsmdX9+HXOD+TVO03SFttnjVM16Lf/kSza+7h9r9PjYHfhtydSXoWLyeUrjRwXvslhML2/E8ZDRZFG1/E7fWvZcOze2O5/+IPCdkf08DejNNp1o8HBUcRkWpiJQAo6qN7P9/G/hJnI7VPwDenP37voM98u441kGdMAf3XUYSixl6VDdhOCgoUt+M3qTT0bNrGw34bAP5rDv5I2s7m5LWNqC2MfHwA8s3ss3EpUWYr4LXp2rm4ez8gKphG6pmYGdXLbm+6i3oV3zeBkwhP7CdU9+QVEKi+Rz/5BXfwtt/+Y/IbST4tR4Sp0i7i66tk17bPbXT5n16CyFJyWScegFwud02EKKKEJcFNRCuK9UvxZx90FnjJXMh7cdVSJ5SxYuUsBbjb7ibcfdskcbjcnSXhDQH3fMp4cUWc6UOZwtt/uaZz/Ps0mcpSczHuo/nD9e+gkfqi6w1i/BXFS58RMhfix1VFlZhyamVJmX3vZOicYH6Sgvvocf4Rz/x93j7//0p1l7e5BPP/DW8zMlpJW1xMzV8uHMfP/2n38W9//XxlB7eWc5a4hSzXp9MkzF6rWw5T4d0/g8K4gd4iwvofAX1PEy7i66sbaHUjiwOp0r0PPBb4hIFfOA/quoHRORB4DdF5OXAo8ALDvrAu+F4B/VuDz73RayqWz1kOia210Nv3oKVVWQ8O6Pf9oBXGZokpMurSG1jyzEVsKlFk8k2ebbTQa/fgFtef5Dbtu3TJFouAjhefxu6wLbb6LXYmVIDvucRBD6Npz6B8oc+i6YWYnecNLVu/iZc/BpHpMsrsLaOiGCMoej7g43X0QFKJrvgZfOSQkbLDI8BMaAWjZOBo1L4cED+L/Lus8ZALkBzAXgGNVX+KHwmHwy+waUexikSJSwkloW0g7TW0HpjcJxheJ5HMdtIRp1JedrrsXptjdxHPse9rzvPt599GeobdwO2ClYxccpX1FZhZQ3t7lyQdjvX1V7O/93A+PlPd7iWjyoOeqWuqg8DT53w+irwnIM92t5wrIO6qk7mPvt2a0mCwmjqoTq+W6No056tDzHg+4MMkh3bkgl69R9DRZyUbBiCETR1wWMiF75LSqMEOUy57IKxVXeTyh7rNftu0sv+qESQcgkvH25pixiXGZML3HfLBUgux2+9+8Pu2M0maWvCY77x8BbmYGkBLeSQxCLNNtpqO+rgzAK9xy3QXQpchosv2MBlqXgRhPWU3EaCJIrXjPDW6lDPUhizMeAZSC0Sx2gvm6Phuc/Oo/TfKxWI5vL0Fn2sJ+TqKfkbbUwmyqWlAjpfAU/ck0ejjbbbo+dNLZLPY++/h849JX752grmb38lfnsz/dFvRpjVOtpsjXDykg93PqcTzrHJhwNpZo1ibLe3rdds/3oFdjz/dwvDf0/HEsd24HvHsQ7qU0EEs7hAdP85OmdyiHX8a7DRRXrjwQzS/qN6wWBSJainE9uKqitUWVlzQdbzMNUqLFTRXIB0e8hqjbQWb/ljNPkQLl+g9fgqScEQ1hLyD6+gj11F0xRTKiCLC9hi3mW/1OrYtRoaRy5bo58NksnpjmTK1OrYVTem7eiX//wr/5jvfvG/ofjoBiaKtzzmS+Bj77vE6tdU6J4R/DaUr81TutJGooS1p86z/Jwe3/6Vn2Deb3M5XOfJuRvMe23+uneRd1/9ej73xQtI26NwvcDiZ8qUH2mAKkk1TzQfkIYu9TBXz+gXa0lLmzQJY6mSrfMetadFfNOXf5bFXIsPfukp6INzzD9UASAqC1HV3VyCplK5Mk/hWmvLeYuXClz9nwqc+xvX+L2/+Xpe8dHX88mbF2ndKiGRULxaZOlTZYpfqm9JmZFuL8uqWt81wJp8iFlccJRKVtS0Hf02ehDZ8fzPsD+cJu0X0WNcGl+VRX2WTPGk09+I6tMFaeo2L+2E727E5Xz3KZQd2jq6wm7+gRvP5aD3qYVt6AxEED9wpg4ig8f2waO79MeQ9WN1+02zndpm+dh9Mw7xDBjD4sUF1q6vo9tl1ZA5NYUhBNnmYpyNzyqmkEcqZQhzLuvHmM0c/dQ66YVeNFiBaqeLRvHmGIZpmzR1NNCkuR8eT+AjhQIUXDm/9GK03d7sV7LcfyNbxjvSj2ecQUm5xMKlBdav11xdQpK48caxG288gUbZ6ZxOgvEGc7/lWtkJezn/pxR/pn9IXdemcnmpzN2j/+OzX72n/v/4/a/92G7ZL0cVJ2Ol3ncWyofg+5Akzmau/8i6U4bIBAz+7LJ+TbHogla/3+0Ev2y6Wxbd5pAD3zkWZcFwcHWqOlqnM52t2+DRfZv30BTNAoJmjM2le57AykMT3QKzwYkL3HNVlzEUJ1BvYNed/V4aR7DPTTLdhYodn/uRc7pew97obQ2Mw23FXdLbZaJoDHS7sLLKxceXWX7k0X19j6lgN+d+T9jpnN4GJAwxhbybz9Sinc5mxthBoU87FfLu5hzFU1s+HiqO79p1zzgZpXLiVl+cXYLzZ+DMIqZcciud2+nW85BKBc4sbPZbnEJOYJp+SyU4u+j6Hfsx83OOdz4kvOQNO2zIZ+lrnFmk+6RzNL76DO2nnIVzS+5p505BjJNu6J/Ts0uZlMOEc7rP87/jPJw0iGCKRWQxu5bPLiKVyr4sFXc8TOC7/asz7tqWxXl3I7nLOE12dieHfsmohgGmfdTdDXeq32Ec1DH2AFMsOg64UgSrLsVxo+5WclYdfXCnKYC9zP1hnaeThDs1R+PHOYTrZq/0y9O+4Z/uqf///nuvm9Evdx0Z1QAuZ1wK5X251O/U7+1A+jTOpNVuRrf0M3lG2qbOos52unuXPAhybpVUyDtuudfDttu85u0v3+LPqXGCNpuDFEftdF1KZJK4R+pCHikW3Xxmm6u3rTtvPGcYvd152svcT9m2L/3AQpVX//R387af/O3N93T/0g/HAgd0LR+Z4+wBx331vRcc/6Butj4+Si6HqVZcLrcRpN3FWCXtp7fd6RVKn6NemMMW3aOoDBVESKfnxpQFSVPII/NVNDOTFjFIrzcdX9/fnDNDvHj/mM0OBvj8Jx5FgtzI6lvjiLS2zaap5zl6Y67iqmfbXYxabJq6Tbx9zqcEPqZURKvlzX4B27S31e/WA8lA8MyEIZxdoHtPlU8ur9F88hxqcJsaCoWbBXJRfDKD+mnFCTC+2AuOdVCXfIj3pCdtfaMXOWGrm7dQqy4nfGkB796LkKTIRoN0vXagDkfDK0ACH+n00PUN0lpta9s0RWoN0rX1zWKZoeCV1jZgY2gjcsrAZkoluO9eOvdWSPOGcD0m/OIK9guPghG8yxfpPf3JvPfGOv5znkrh0Rr6yGO76pxoHJHevAW3lkEMplTELM5jLp13ueT1FnZ1bc96Kdrrkdy4CTdvgRi8cslxsJfOuyyaetPN0e2cJxH8y5eI7jtH90wOL7Lkr7XJP/gQf/DBT1BZWCC9/yLtiwUX3Gc4cXAyAacnqh/roE7fhm4c2c5+P/3MtjoYq9AI3O/d3uSUtduApinaaiFJ4iogs0yZfkC2nS5mbR2p+24Mw9k5Ezuc/LorTCm5TA9Auz0nMJblsJubqxS7PSfD23U3ln71n66tk7eW3/2r/53vfuqPuwrMvWRZ9LNpOh10XSDTQ7GdrtMq2S+yft0c1aB5gOdJFbtRJ/dFIbjlBN2oN7HNFv9l9Z38vXOvwP+iobKWedS2OtiNY1L+PsP0OATno6OKYx3UNUmdJOxu7eLIpeHdLobzy8kCeZypQaq6Ip5t9DpGiob6fQ1lHkyb/yyBj1TLmzIBrQ4mTd01q9aZXCwvT/xsX8fmhRf/EUlzbFXdz2k3O2zg9mHE3ZD6wmdxwtS5nDvgwM7TGGyj4TR+xvDCyz+w+bRw4+btH2if5/RUo1/bAQdLuY1htlKfYSK8xQXsEy/TulRAjVC42cV/6LqjJvaAYfEvDXwnkNSnavZw8aknLriXi+4RM05gqKJ0Ozz1m7+KD//Ox0ZeM8XiZvXpLimbtpyjNx+SFJ1WSvFqG++hq84m8Bhh0jzsF8P0W7+imNXans/paYKE4UAoDGPcU1LmZXCgmHHqM2wH22xhvniDynIBRNB2B93Ho7qmKbpRRzpdxPOwSeIEo6b447fdHmR65TK+ou5Lok7QqRnGc1/xrVuCmfZ62JU1pN4cr9DfAs/3KebDgT6ONp3G/HHDpHnYLzRNsfU6ptdDPM8VP015Tk8rNE6wG3Wk0wEx2Cg60H2uoSOdqvNwMoP6ULYDsKngeJsndpJLzv46yoTI9mPEYNPbzsz4iee9ZeuQ+jIFpyjrY9I87BuqWym2GXaGTTPK8vAPdZpSGk/kfr8JQ7zz5zD3Px558n1491zClMt3e1hHBq//tdfc7SEcCczm4RRhYP4y5c8xxolcqdteD11ZReqOm7Np6miLg4QI3pkz6KUzJNX83XGez0q/TbXiDEOSFG02SevNHQuVPvy7B0M5HDRM3uXVSyG/SevUm4emG3JU52GGA4aCzLJfjjmyR+HD4ec2IZ7BBh425x54NFNBPPDj+P7ASmwk4wYyhUQP9T3HhWcZLDslo/zRe/5kQFFt2+/dgDGIyeZQdWJh2UHij97zJ4fa/wxHCMd89b0XnMygfiegOkiF60/iYYRDCXJ4SwvoXMVlyoxlVWyXrrcTft++l78dfp/rd6GKeh5e385uY3c7u8OCbbfvqIXb79v38m3m+XfseDPcRZyemD4L6ocFCUOntlgsuBX88HtJOrWbvMYR6eq6o5JEXJZFtNV4Yy/4NvN8EBnp1w73K4JXqSDVyqb+TL3pAv4eV/IDeqhYyCgVZ79316VYYRbQTxFOU576idwoPQoQz0NyObSYR/OZ2QQgqSuukCDAlEuYSmXrTz4/Qj1oHLlVbKvl+Pp9UiTi+5hikee89FudYBjOH3NSvzq8aZRZ5vmXLuBfvoR3ZsmNcRpYm5mMWPdzAEVKB4VvedGz7/YQZrhTmG2UznCQEHVStnZljbTV2iw+On92EOxH2h6Gm7wIplKBpXme9d3fwIf+9IvIdoVKY7SOqVTg/ntp31smDYX8Skz40C3slau7/gHsO3XzDuDrv/NpM179NECZyQTMsA9kZs1Sddy3RDHabKGray5Hvp8rj8sJT5dXkdqGs2EbwsCVfpsCIpPPYxbm0VIBwEnF1jZ2z7hRJd2oI80Wb/6ef+kMrKfcGLXNJuavH6b0cM5tykaRy8c+5iuan/n+t93tIRwoxPcd5Vcpu43zbuSujWbz2J+r24GgM/plhn0iTqDbc1K63V6mg95xmTiZB+YANnVVnN3uyM/EtkPQzEdTejHSjZynZjrlMsSmaBzxxt94jcsMmpbGyYql0nqddH0d22odit3ancZPvu+1d3sIBwq16vR4ouzaiCKY6c84zOiXGfYMm5LW6/v27pwWB1G1+P5/9wcHNJrjjcE8DOvgH2fHJJsORNtmGMMBn1MRuRf4VeA8juB5QFXfJiJvBF7BZt35j6nq+w/04LtgFtRPC0Tw5qrI/ByfvNrBf+IT0HrDZaKcgFX3fvAXH/oU/uPvZf0bLrP+ZQbrK9VH4OyHV0k/8/njG9xnGMXhcOoJ8COq+nERqQAfE5Hfz977V6r61gM/4pQ41vSL+B7emSW8pUVnEHEAxSoS5PCq1c1+i8VDL4K5U9AoRlsd3v3fX4+22mgvco/spxS/fvUBtN2ldKXL/OctC59VKl+K3Eb1LKCfKIjqnn52g6peV9WPZ/9vAJ8BLh/y15gKx3ul7vvOGT1JMfWmE6XqDfHEw5uQ07oHFfLI0oKzgEtSzEbD+XfabfodxqRj7KXtTtjHdxk/Xl/v/XnVF+/98zuNabfvfZAB8gD7fd7cSwAwy8tUh14/nc8tJxyHeJMWkScAXwf8GfBNwA+KyEuAj+JW83dUk/pYB3Xt9kg/84Xsl00udKDTXC07j9JmB7u2PpW6YVqvw7CM7FC/Jp/HLDnNccYKikhS2Ghg12poHO3cNk6c+07WdicMdLrnK0M2ebXbqvx87iu+9bZ4dVMqYRYX0HIBrCL1Jna9hu12Nytgq2XwjEvlXKvdtka2hCHewvxov7dpEH278zDDccG+Nj/PiMhHh35/QFUfGG8kImXg/wJ+SFXrIvJvgZ9yB+WngJ8DXra/ce8PxzqoA5MzONIUbbVdsQtuc1G3sVvrF+QQhpMd7YegSYI2mpAkW1IRNbVotzuStrhj23Z7V91zcBkN2m47EwzPuGyX29TpfsrT7981mJl8HikV3dNQmqLtDrbTcVWhUYw2GhBFg+8mc1W8uc31rtSbbvy9aNOH9TagcYJttV3xlhE3htux0GO6eZjhBEDZz9/Liqo+facGIhLgAvq7VfU/A6jqzaH3/x3wO3s98O3i+Af1CdAkIW00BivuvkWbhCFYdcE0uxlILofMVbELfY/KLsbbcKYPY201SXbOcOlnURgPterGMNx2mJsfz7IYysAQz0P64mDWutTH/oq0L8QVOo/SLVrxsoMdXXbMX3jlO3Ycv3geUi7BwhxayCG9BBGDRFGmux5jmxY6XUQEqVRgruwkBaIYrdVJ12oHKw5mU7faP0BXnG3nYYaThwPeKBW3mvkl4DOq+vNDr19U1evZr38f+OTBHnl3nMigLmGId2YJrZZQz8OWc0TzIUnB4EWWwpUm8shV0nodCUPS8/O0LxexvgBVRM8B4HUthSsNeOTqrvTBsJ3ZJk2SWdSByzxZmHdcfZyMUjXFoqMzqiU08OheKNG4JyCaE4KmsvjZLsFfPExa28A7c4b0/ot0zrsy/cL1Dt7D10hXVp0p9eI8zFW2VKpiLdJoY1dW+dn3v44f/VtvHHl7QKlUik5jZgdLO//8OeInXqB7LkRSKFxvYx65RrqWUYfHZJPxrR9845Z5mOFk4hCKj74JeDHwVyLyiey1HwNeJCJfi3s++CLwyoM+8G44kUFd4wRb20C6XcR4+OsB/q0cGjgqgUYL23EVmLbdxruyTHmjtFU2N01hozmVFrumKdpqIUkCnkGTxB0ju5hsp4uhBg3fURidLpo4+kCjyNl6dZ29XbHRIbxVwhZ8TC/BW6mTZuPVRgP/sYDyWlZR2ti0ktMkRhtNN4bxoKyKjWI0SfjVN/3m1vH3em7OOh3X78g8WLTTGdBFtt4g+JKPv+JuLJKkUCzi5/NuJd9suU3ZIx7cJ83DDCcUB3wtquqfwETnxzuakz4JJzKoY1Nsp4v0elupCLUuja9PqQzc5PdxnL5tnhhQ64J/X69FBMnlBsJZmqbbmlc4/r0BjdF+TdZvMjzePlcfxY5bThJ3HM/5hWItNuOzUTvRxu/q5667Y/gBEvjuBqDq/E2zG5jkAmdW0bcEDAK32rGuXXL12qai4/w8Ml9Fc3lnfp0k0OmC3kVt9ilw9XPXd2901DF2DQ5f23dtDEetilWBU5S6eyKD+iDzZK6Mjq2+JU2RWoN0bf32TDT6xTwL89hSAYkTZKNBurqOxhHe0iLpEy/RvlRARSjc6OI/fJ305q3p+l1cwBazIFmrb1I1T3kiN//GErUvU9SD/IqhdFUJ6xYTK7mNBH+jh8QpZhuN9Lc/+Ga+9yt+FJ54D517yiR5g9+x5GoRXrOH5nxqTy6z/uWGaCnFrxvmPwfzn23j17tIu4uurrv9BVXS9XVYv6NZWweCtz/4Zl54zx1/Oj449G+oC3Oj18okkbbDQqZ5xMIcmg+RKIb1OnZ9/QgVtR3/0v+9QPQYf9lq+bI+86n/GBOneKsN7M1l99hvPEw+RHLB1pW6EfB9JAjcCjWOsY3mvugCCXJIPnTuQb4P8xXsXBEbeJg4xbQjpBu5zc5O11VvTriRSJDDVMtIoeDGlCRoHENq3UZoFGEzAS1vfg4unSdeKoEBr51gml13HFXoZ5tYHTjaT8rkEd/HVCpItexop8Qdhyh2KZjzVdLFMmkxIM17tM/6dBcF9SG/qsx9oUPu6rpb4RdCbCl03zuxmFYPaXcdbdPtoY3GVBZ/Jp9HKhUkH6KFkPaTF6ndHxDNgSTgd8HrKmIhaCqF1ZSgHmGi0fM/+G6l4lYayjNoMe/G6xvUNyQln6RgEFXyt3oED99wT2/HACPX4Ni1crfGYHs9dy0d4hj+TP+Quq5tv/EzhLn8Bf3Ge1+yp/4/8IV/+bHdsl+OKo71Sl09IZ7LYSKLaUebVIFaRyX0UwaHMkTE9/HOLGHnK2jex3RiRytsRxcYzz1aGtmaDRNHg4Bp8nlkcc5tyJY8chsJ4Uqd9Mq1XVcsplSAC2eJzhRREYKVNnLlutPxGENab2KimOBaMAjcaXcbca5tMmW+5599J//p53/Hbf726SKrjuPv5/pvNDA3QzzPwNklouo54oqQFBVJhbgSEBRCt1KfKxDN5UjzBhMpOd+4CytOEFW0PZT1s8N84nlILkDzOWwpT2fRp3VZSRYTSASvZfA6gkmF3IYgFlRyeL2x8+95kPWzZZ/E90jmCkTzOV7wPc/gP77/Y8RFQxoCCqaXIwhzA0rqqGP4GjzNY9gVx+BcHhSOdVCXepvcBx4ERq3kTBiO0C+m2caurmMbDcT30YUqnXsrxGVDuJGSj2JkrTZaNcpoRovmAqQXwVqNdH1jSxDVJEFqdfKAhj7SidCNxlS56Fw8x81nL1L7CkUF5j8TcuGP7URhJm9pkeRJl+hcyLJfbnTxv3CNdHl5S1tTLGLOZAVQgNRb2NU1li4tbhYJZXZ2w1SN+AHm8ZfpPnGJqOphEqWwHFH5fA9JU0xziNYRg7cwR2FxfpD+yNrG5Mdv4+EtzrtH9TDnHtXXaoP0R9tqjRQTzf85zO8+e8Do+ddez9FcExbb4vv4Cwv4i3Nc9HJU/3IZ1jdGUjCPCmkwwwHhlHHqx5t+kUV9ljxn6xvZJqXkcu73OHZWbTZ1ZhHFIlIuuQC/S7aGBDlH4xgzeLyduPLubzxO03YMplTCnD9LOpdRKust7PLqxDRKCXKYcgkpFhyt0+1hm63JKyXjYXIBBMHEeZBcbmA8PTJeEUyhgJRK7vtY6+igKHYuRmPfbWSOrHWFQdus3PbS9rBwFMYww+1hT/RLeF6/8dL37an/D3zxX83olyMH64IPAMZg8hkFIeIyPtJ0U396p9W02hFN6pGbxcjxLJra7bl54yGB76gHa93NJOvXtlrYhzdXqDvdBjSJHW+ccfMaJ4PUyK1jSrHddIvz0NsffAuveubrNudIHQ0yEPfKMmGwdstGMzDalrHH7+zmNpz1M2zGseOj+vAcDX+3g05Hy8bw9gffwquecbI01WfYBsd48bpXnMigPkK/+KNBST2PeC4kmvNJc0KunlJ4eA354pUtwWZAvyzOoeHOUyVxilmvD7JfRt8UvGp5M6Ml3aHtbt+tUMCcXRpQKiajVPZiffcLr3wH4gcj9IvXHqVUzFwVMkplBBbXdmXNZb+Mz0Mu53R3FqqoMXitzmamzG7frVTELC1gy0XEWsxGk3Rl9faylHbArKL0lOCU0S8nMqjbXg+9tYKs17a8JyLkAp+c77vMmCRxhTXZateUSpj5OQhzaCGke7lC60JAUoCwplS/0MA8fG1LoFHAbrdqVnUbnN0eGLNz2/Hx+j5mrrppUdaLnWzuypprUMhjzi4hwXnwPGwlT1LOoZ4QbPTwriyT3Lw1slJpN9z3TVfXkbqjeNL+ilp1cknFlNAoIl1ZQzbqo/1OAdtqo1GEeN6e5mi/aDc6h9b3DEcMs5X68cMIT7oLbKe7fcpVxhljLSQpkigmUSQRTJq194zLsBjnqPu0wyROvU+F7BGumEQhtU48S3Wgz+K+uHFKialFRZDEYmKLahaZ8yHeXNVZ3mXj/en/uQh2BwAAIABJREFU+jpe+hU/5DJQRMAYF8fTFJ2gkaGehy34pAUfFfB6Bby5El432rICkjhBN+qDzWSnrjiH5PNZamfH7QEkibthlUsulXP8vIU5eo9bpPG4kKgseD0lX7OEtQRJFb8VYzbaLnUSIPBdxXA2RxInTo5BXYYQUezOq+chcxXsXImfft9reNn3/OLo+LsJpt117ZMEbXdIm63dC3puY09lhjuAWVA/ZjAeZq7i6IJcsGNTSVPMDsVHtt0eUBni+4RrC4RXR+kXvXDWiek325DJv4rnOd2V+aoznu72kNWa0365nQvKpiPFPaZYdNTSuUU3xgn0i/R/SiU4swiXL7jf6y1YXeOlX/4al/2yMD8x+2X0+GBLPs17C7QuGuyAjSlMHG5uQ1n65DzeXz6EbTbxFheI7r9A53yISZXilTbmoauk6+uYcgl7/z207ylhg9HHg86Swfu7K3zk6945eO0D7ZBf+NK3stwqsXZtjspnK1SuWFQgKgtxVbABmAhydSVoKSZV/FZWWNXqkZZCal9WpPZl8E3vfye8rLg5b1bIrRlKVyC/bvG7SvGxJuahx3bX/jms8z/DAWBWfHRsMJL9Mpz/vBvSdKoV1DinLt0YNhpoo+k2OccVErONPmBrDvZBoV+S3V+pj49hirYv/onv4V1veq/LfOm/N5anPjyfg1z3XLBFRngcfVnh/oax+D4Shm5eMomBkUykMHQbz+PnLcjB4hzx2TJp3qVV+s3I5aOnFolitN1xK2oYPD2JyCBDh9S6je4snx9r3VNJIY8UCnzfj3wH737bfxs9bpy4m32SbI532mKeO3H+ZwD2mP0SnNNvPPP8PfX/gRv/Zpb9cjcgnoc3t7C3D2lW5dgPhMPVp2QZF73e9mmLQQAFt9mpcQLDbW066rw07fcIQ0y1ipSyitI4QXuRCyzjw+9XiU7aPBwOkt6YBZ9mqXt9cTIRF3Dz4WR9nCh2WjZxiopgrEXUouLEytw+xFBK43BV49C4nVTvNjfQ/nEzaWSNotG5X17GfHbTc1HZzEcf3CxyOTfeZmfzZrETRNzTWpxAN8Kurm9bdbtn7PP8z3AHcIwXr3vFsQ7q5AL03vPu/+Nc8Di1nr3fp180o19MPtyUvR0qVNJmc/OzqmBBAx+dr8B8BVF1bVduX2fDVMpOTvdCHjWC30rJbWSr0rHxm3bXSfpupIwT4JLLYfqUSjCs3a5IqpiMfnnXm97r8t3n59C5iuOih/ux1rVdWcV2U7dXMD+3SdUMZ7QYD1MtDzJlpBtjptT+MLnAUUlVp5BpWh0391NopkuhgFlaQEsuX3/znO5sZyieh6lWYaHKu979EeTCWWSbgrIZThBmQf14QRLruOWNOtrtYebnsI8/T/d8AesL+ZWI4NFl0uUV94deqeBdvuiCmRHUGKcfbkBLBaSYx1N1G6XNNvbK9S0ZHArZan+y+r7J512ArZTcGFsdZ/k2IfUwXV1DGk1KnudWuxfO0rtnnvhCHq+r5K81kCvXsa0OLC1gn3QPvTP5LTeuNGeIKoaoIqgHXk8JmkrQUUykFG4EmHabX/74z/DSL38Nya0VZGV1y0pdx5Us42ikbdpX4psAzQXI2QXMmXm3gdt2mje20XAVpXPVTNExcJuqjRb6yGOOttlhPsdhm03nhOR5W9QJvWoVve8y3Qsl1Bf8dopf77mbZP+cXr3BL338Z3jZV/3w0VMVnOGAobOUxmODJMWs1gd2a31KQLtdTDvCb7nUPolTyAVuhWYEKeTRfG5LDjvW9Sm9yGVOWOcUJKUSohYyjfRtqY9CwXHPnkGCAC0VXPBSBd/bXDmOte332xcj8xtF/GYRNU7XRNq9AUVgW228lTr5xIIn2JyHDT2sJ5hY8dsphWUBgaRo6C4YOucMkkIalqh2zvKGl/yfeGeWxuYyGbHxkzDEFMqZnV2WtdLrgY6tvtWJlUmtgWm7zA/N59xTlCeI723y8JkmD82203hJEse/70eAShU03SLtAI7yMbWmk2zwDaabuCyZKHbnIMwhl87zhlf/R7x7LqG1jdvyfJ3hiEPdQuW04FgHdY1jkmtjmtgikKbIRpOc6iBVTgshFFxVqR1+LO/TMup2yKXbGxgab9ko7USY9Q1sf3MSRh7rpVQaOB/1w0O/X6yOtq2UXaZE6CPtHma1RhpFA87fW2ti2qGT9G22sakbqG00NjMxRPDn52FpHi2GTndlSHq1+JVPofPsJVqX+xe0R26jTGGhCq0x6qbdxVgl7efrF4vIwpybtzhB1usubXJC3rhttwfCYAOD6LkK4nujgTKrnmXcLFpkq5ri0NzuFbbdxj7ahkfd78NhX8IQ84R76TxhHv2ac3STmPBRD9nGl3YiJtA6MxxxzFbqxwOSD/Huf/LWNzKfTPuFlS00gQS+Ky7qB9S+/nNtY/Pxf5s/VA1zyPkzmHNL7gbQ7AzSCTVJSFdWYHVt8mB36PewkP71Q5x7+Eucz2QNNEnQOOHVf/pTvOpZP7bj+NJaDbL0RpMLMAvzmPvudU8cIwexSL3pqKWue4pJbt6CWysT+x3G4AZQLW/b723r3o9Bez3Szz9C+LDH6//FC3jV236cdMoslYFOf7nonviGzv8MRxyn6OZ7rIM6IqhvkNTpiEun56iYON60ixs7mRpZZ/mWphjfd21b7UFbCUNXQDScvrfR2FJkqaouU2OYa88ogYlD3aFfN97OYKza6SDrsqlP3elOp/Y4jm20X6bSOxn6LjYCmi0kSZ0h9nCz1G7NFtphHkY+GyeOF0/txH5ttzt1NeqeYB1t80+e/r/t6WMD16nsu245/0cMEuScrHNfejmj+E5dQVTmCHZacLyDuiqS2MHmV7pe231VpzpCF4zDhCEyV0ELoavCHDKI3jf6qYZzFbSYd4Gg3hztVwSMW63aXm9LIN7++1gktZDYwYUrvj8iuDXcFlVe+daX8I4f/dXpx29TbLMJrfbIa/uCyMjGrG02YYpsl8PAXudBk8Rl/EyhY3MUIIGPlMvOTNxmNQOntcp1tlK/fYjIO4HvAm6p6ldnry0CvwE8Aee0/QJVXRe3dH0b8FygDfxDVf34bsfQbo/0M5/PfjmYk5bW66NB5iD6Vd2xX1MsDtIqAaTRnu6xXtUZaWQ0ieRclSiPvwdvnM6w1vW7ssrqtW0oom0w0F6fq4Cf8c9rtalEukYwZH1GmHMbl2Na5ncSe52H4wbbbmM7Q/o2pyiwjUNnK/UDwa8AvwgML4VeB/yhqr5ZRF6X/f5a4DuAJ2c/zwL+bfbv7pjiQjX5vNNPD8NBpsyOj6FTXvyT+u3rhAx0zzPJ3510zzWKsBt1pNNxlJLnYeaqmIWtFhEaxVvt4fq0TRRh6w2XveNNkMz1PMzCPP/lNz6Od/6cm4dWe9eAqmnq+o1d9ohGMbYz5ZPESEcWbbWRNB3Jqpk2jfGg8Z9+/ndG9WfI5rDZOjRlyDuOUxzIN3G6ZAIOLair6h+LyBPGXn4e8M3Z//8D8CFcUH8e8KvqNAs+LCLzInJRVQ/G7j0IkEIBLTpRKcmqCie6n0/rzi7iqiirlYGcrngeJk3RKHbvlYrumIAYg/QmVy5qkrhg13Vl+aZcgkoZDbfqtku3B73sZ/xC3YlaylyHdHGOd3/o9fwvf/9t9BZDugse1ofCWkr5Cxtw9UamY55sip7ZdEfKamTOdoJaV/W5HbU07dwfEH79yjv4vqe+nuQp99K+nMd6QvFmRPj5GyRXrx3acY8Fxs/Fcc7ln0nvHirODwXqG0BWDspl4LGhdley1w4kqA+nAfbTFOXyBbdpOWZR51UqyNICtlRwgXpK3XMNPHTBVSoKLvjq+gbptRu7BqaBSFfFGSVLPXM+Gk/9uw2IEaRaoXO5ykt//Nf4/Ct8HvmfH9jS7mlv/MeUbqYUr3XwHr5Kul02z2DwGaWyOD/xJjQyBmuRjaajliYEdlMuj1SJSr11qHrqr3rG62j8T0/hmT/+ID930bF9H2iH/NjPvYxz/37l9LohieAtLjjbwXy4mSE2RZXwkcUhPA2KyLfjaGMP+Peq+uYDP8g+cNc2SlVVRWTPt08R+QHgBwDyFPsvuoBQLsEuKo1YhThGV9eRTOhJx42b+9kpxqDVMl4+dOJQcYxtNAdiVbbV2czc8H23Mi8VXFFTLoCFOfxyaffxZLZ0NFtOB6VShic/Hi0ESGox7RjT6rh25SLRuRK9+QCxSuF6B+/ha6Qrq1vnKgwxlbKjFjxXFBTUI54Ulrn+Rx2+bvGF/D9P+xXKJs+vNxZ4/Qefz/m2op6QlANy589sHX8mcqX9ebAptt5Eothl6/g+UnZPKCriXm+0BpozmgswZ5YwnoEoxjZbbrNU1RU4LVuk5i5L2z3c7JLLT7lI7ZPLfOgdz+KJ/8MzUF+pfM7n0oc3DlXHfRwS5DDV7DyJuHloNO8eBaQ6ek7T1HkU7CcD6whAYXLiwG1ARDzg7cC34RahD4rIb6vqpw/0QPvAnQ7qN/u0iohcBG5lr18F7h1qd0/22hao6gPAA+BUGgGnL+77zthi16BukSRx3HQUbarpbfbvLmbPDIJ7v08xgnSHJHiHrdmMh6eKGAN9LRVjNlevnnG/ewLWrVpJ3HGl4+iUtNEAMfiFAmkhIJ7LIYnFDzzwnZ9mWsnTXQzozhvEgt/K4QeTv7NkAmSaz7nvkqR4tTb/8Pu/iU+//J0kn8/zd0uvGlTWPiGTzBKrmCizsguzz3pmYG1n2l0Y4tSH50GCHCY7Np5BOj1sveGeOoyHVy1DIe8qbUUcnSTGVYfuJP51CHjJG17A//odP8P59zU5/8GSe0pqd7HrNe6keqn0K5Cz8yRJ4tQm79gItmJH28HjBtXDWKk/E/iCqj4MICK/jqORT11Q/23gHwBvzv5939DrP5hNzLOAjT3x6WOa4zthQL9cPDeRfhmp2NwLbOqoikl0hYjTPFlcQPv8+3a0jqYkV64iV66SYyjzJBPT8m9uUP10jdKQTvd2YdB2u9jrN7a8/iNf7/LUBdjpFtj/M5AwdI/j8xV0XP1xDBpHpMvLsLw8ocPUZevUNnbs407hR//WGwFIb96Cm3dvHLbbxd7Yx8bzDFPjoFfqTKaMp0vuOGQcZkrje3CbomdE5ArwBlww/00ReTmuiPsFWfP349IZv4BLaXzpYY1LkwRb20DabbdyzhxqDjWlThXbbDlu0vNQa7HJdFZtA9u5RnN0vLexkvyhd7ySt73qlzCVClIuuWrO7tCKenwMUUS6llnfGeNkEqLjv4r7oXe8cuZTegrQYP33/sD+5pk9fiwvIh8d+v2BjCU48jjM7JcXbfPWcya0VeBVhzWWLce7C4+W+6YWVHcer/EwfQs1a6c6zuc++lD2WUeR9C3tdhxDbxsN92OMwTzMcKKhqt9+CN1OTRnfaZwc56PTCBG8HQS9ZpjhpGIvzkeHARHxgc/hFqlXgQeB71XVT92tMfVxvGUCpoQplf5/9t48TLLlrM98I+IsuWdtvd3uvruudoQ2dJGFkbBAWOCRHzYLA7JBXISNGTRGGIz9IIRlG3k0WMwIe4TAGITZGcBIYhGLMEhIaEEgJCFd3bX37qrKPfOsEfNHnMzKyqW2rr5d2fe8z1NPLxUZGRmnKk6cL77v97MiXr5nd7PdHrrVOdzd+lArvFbJPCptQdEws+OGYAxpq40cDGxoZo879d9q/Ryvqr9mfgMhbGpnvYbxM93zdtfK095CRhK7zkNOzhyMMYkQ4l8Av4dNafxvR2FBhyfJos7Qs1LrzLfyhpyG2z5TjRDWv/SgCMdBeJ7VcMns4ebG0YeiXfvg1ae/w2ZZeJ79EmL0HsMbgjHG5pUnY16ftxivPv0dN3sIOQuMMea92PPAI8WTYlHXQyPkG/omh5TZIQSyWrUhlUKmp95sX7+o2BjPeekz+fDvfdLK3g4t6voBZrMxMos4cBbQAvGclz6TD737Yzd7GDk5h8pCL+rC91F33jP9/1Fs3Wza3alwgfB91OlTRKeXScoObifGPb9BeuHSExaHFo6DrNcQNesPKsLIVp92OqOQisgKkQxWovYgYY+RpV6llOm/99HNFq984OV8+Pc+OdYQa4Zx6jjq+JrN5d+r6uUC88oHXn5di7qsVq13a9FHJCmm3bG6/Pl5Rs5NZKEXdYy2hTuTxLFdCM2WFK0oFkcVj0YKVD9CJBoZJNb0eKluBaYmHe1vyLCNtcsLQrsYTMqh6tk2bft+H2MwcTyaIxPHmFTzQ696C0iFCQJEW9mCqe0vxMTxXL0M4TgI30d4ntUFiWL0ZFXuXpAKWfARngtCPiFzP84Pveot19dBltopwIb2kuRG5EPn5OyLhV7UTRSTnDu/aztZKiHWVtCVgjWpbnXh3EVEGCIKBVhdgeOrNvTR7aPXryN7ZC9WZzp9QnS5TRiSzthp/+uf/x7+4zf/+IHDRcL3kWsroycA2erCxua+Y/vCtU8sZqlqb6y9AXqjgXmCwj7DeTgoO4qc5eTcJBZ6Ud8TQiCqFaLblgjXPGRkKF5QiHYHE4ZZ1eUVxBWrWGD0wQ5RZaGAuP004ZklkpLCa8V4j6/f2LDOsFJ1actLlGZ7dghgrO1ffOICzt13HjhcoPt99LkAITMZhQOqKVrru2uIa+tb/TyBB7Ifek8eT8+59VjsRb1cxHzhc5CxRq230VeuTR+IGoPp9XCvdlADu1OXmx10PFbNqdPRWjKKk5YKNoOl1bUL324qjcYgkxQZpVbmJbZZI8PHceH7yGLB6ogbgxkE1sDgetIdjcFEMfQGNu0wSTBhNDcEMGz7J7/4wV3b7va+mPRw1l89p5+hW1QmRjbUXtezJIcPyB//4p8dSj85OUeJhV7U44rk8v1lVADLn/cp9AczH4fHwwyGTNNk3MF+TEtd1mtEdx4jWPNQoaZ43kcEwe6ZJ2mK6fRwrypc10EMQkyvb3eeQiCLBcTykr1ZxAmi1bEL8XVmtOw5BDCmtf4+/at8ufz663rfG46QiHJpyyUpjBANYd2S9uB/uhcWYh5ycvbJQleU1tWaub/4VbagKNUzjaanyMwiWKpZQa8gyzwZFtYMzQGU2lJw3GtoYcJ/c+p149/P/EJzdmByPvM5y8m42RWlR5mF3qkbrfeff240pj+wGQtK2TDEuKWasRrrHFCnZcdd5PD7QtjD21IJoaTNSun1ZxpH7MikTECcwmZrV5mAl33jS/YXepAKWS4hCgU73jCydoB7SHe8Lkf73ebzOnnZN76EP3n3XyHOnCQ+XsFIgbs5QJy/srs5SE7OEWWhF/Vt7HVXZww6CBFxYgWtwDqtKzU7vjzZz0677bHvCZn9ffgeaTqyBBOOi6xVMSt1tKsQ/dDeZPYaL87eR7gOYqlGeGaZqO7gDDQFIRD9gbXHmzOG+7/q+bMX9ck5zJAFH7lUR9crGEciegFyU6Czqlnh+4hiIauA1RCGIxVHUSlbB52ytRKUnQFSCvQgQChl/V0zbfXhzdTENs1UKGmfmMSMDVn2uYQQVvs8Hat8HT5hDcdXLFr5hkwmYpivf/9Xv4A//fPHaT99hea9Cq2gfMln2XdwPA+TpBCG6EGwpbk/ec3lmBTxfp4kdvp5lco+LQ4PovdTp7Db0+LNJn/6uuEsdPhlJOg1DKks163jUBhZl/pMI30c4fvIO88yuHOJpKxQocZrxqhOgEgn5iJJEa3OSPdcFgrWdq6WGSp0+ujNBrrXG+m0s1wD10EXXeK6T1xVYKB4JUA9dIn02jW7S7/rLP07aiRFid9IKDyyTnruwq472G3Wd2DH0GxhBoNsDEuYWgUchS55RMs+cVkhE0Px8gA5x6JOlsvIleWRpd442nNIlnyiuoNWAqev8ZoRqhOSVn0uv7iM+JIG99/2KJ9tnuD8X51i9ZPgde3Tj5lYk4d+V/1jks3npjzn6Y9xrNDl41dP03xwhdIliVEQrGm4LaBU2v5EIIBqIeRkuc2q36OX+Hxm4zibl+uIvsLpCUqXBOUrGiPh8lfGPPjl70Rli8kD5/4Of/VfvoC1j27Sv6PG5Re5iGd0qBRDKn7IiVKHujvg0c4qj3zkLKffn1A817Y/VxtN0mYTYGR9aEqFqZ+VnZj8WRGDcKuaV0ic208T3rVGuOSiAk3p8TbmkXO7PpUK10OuLEG9avvtB5hGc1QlfNMZWh8Oz0mi2P6ebjb3ffPJwy/zWehFve6dMC8+8Wr7jzS1u0Rji0D0IJitlzIU3lqq2WrOJIUoxoTRdDqdUlAtY8oFjKvsLju19nMizSo01zetBvlEtoZwHCj4mMwFSXT76EYTHQT2l3qpjqhWZlaUTo5XlkvIcimL82uM1nYXmmW/mMEAkyTbDTVchVEKXXDs7lobnM0eXLjCG9/1z6YKb0YFWp5rd4qlgrWkc5XVUPcU2ndAgurFqM0uptNDeC7x7cfo3FkkqgmcAZQvx/gXrR3aTuhqgcGpMv3j1vza6xoKGwluO8YoQbjm0V9TpAWBSA0qACc0YEA7gtQDo0BocPsGt6eRkUFFGrcdIbsBCEHnqcusf4EiOBMjBpLlv5Ec/1CDN73l63nTd72L6Owy/eMe2hHb+lURVM9FFB5ex3S6Wz9XWdhJuJ7NaPJcm50ThnvLaBICWSzapxQlt/c7FFNbrmN8b3+VqpP9RrHt96g4GGV6Q6MssMxK8iAZTfmiPp/FDr8oaQtgtIb23lIP9+WS5PvIWoV4pUhSUsjY4HRjVC+CSbMxY2xMfA9xcaNtSiNCbsXU5wh2CSkQvmc/p1LW/m3sBiAcZ6vC03Xswp9YSzpBguyHo/GJTg8dRbz3nX8wPaYk2Sr6Gea0CwHa2vGpgZWiA6zlW7O1ZeZ94SK1P9/e316zHQvZ1/TnVlTqNapLNWt9F8WYZnvPSpHWmM9S+jTc/hvT43vPT7yX5OFHkY+eozp0dDJ6FCYbMm8pNXFEepAFcywTadb3DlyYtlO/R4FMl39WQVzO4bHQO/UnTE89C0fIYnEr/ALbd+r7QB07RudL7ubq8yTxkqZ4QXHqzwPcD316X4elwnFQZ08T3L1GuGRj6sXHO/DIuR3HVKwUGHRz+7RipUCYgFxb3QqpHfCa5jyx5Dv1+Sz0Tl14Ls5tZzEFn959KzTvdYhqoALwG4ZC0yBjQ+FaiPfQZZLLV0BIVKVsc6Cz+LvudEfxSrW6AifWSGoFG7wdQ2uDiVNEnE7H3yfHNnSIL9nY97hDvG63qX38EqXzdbTvoLoR6tI6SRTbXfLaGubUKmnFt8VM11qkl6/OzjYRAiPASLbGa8YKnqqZS73rEJ1epnO7z2++87v50n/+dirnIwrnWoggxAQhJpsH4fuIp95F6+lLBCuCpCTonzToEyGun1ApBdxRb3Cm1KQZF/mzzz6F2sd8KhdTUl8QrEjCOiCheNWw/NkQ/7ENEIJ0tUpwrEBSlAQrksYzDSv3blLxQy43a4QXy/gNiXYM0bGE5VNtlksDzl1bxv/LMsc+EeF0dw7rGFcSlxzSokQrGKxK+rdBtKzBgAokKoC//L5/wRf8+NtJjsdUV3ooYWheO0HxsbP4G6BCQ+VSQunRFqI3mPhhMNuuaU7OUWGhF3WExPgeuuQTLCv6JwzJSoIYKLRjD9tkJFChi+d7W69TCnzPPtYDItiaBuE4JGWPuOZOHRiqMMVJtHUY0jorhJmzuEthHeJ9a+087hBvwpDk0cfhUZDYUMHoEV8qhOeSlH3iqosKFbLtzXSXN9pAFOP0EowSOEFq4/M6EzITY2PwPcIVl94pyXPe9nbcUwJn4OJt+EitEakemUoLIUjLPoNVSXAc4rLBuaPLF56+wJrX4+7iNV5S/izPcFOupAnfG30tnzl/N04gSQqC4JghXEvth8OhfNnBK3ggJXHVI1xSxGVB/7igdEeLb7rrL7jNbfDhlXv4I+8+muUKwjHceXqdrzz5aZ5auMTv1J7NH1x6DuGSFWTbCe0KoookLgmMA4PjgvBsyMpaB60lvYFH2Pd4xrvehjqbcHq1xVOWriExfNI5xXq4gnYUzkDgDhSFso9MJkI+xthrqtTUdcnJuZnk4ZcnC0KgVpZhZYmv/OYX87u/8KHrs77bi3DZfvub189O37sOXvnAy2eeL+QcffLwy3x2cBvOuaUwBt1qYy5c5r6zS5jzl6zxxkEdmozZ+jqk8R3oe9fBfS+Y1uLPyVl08p36jWJoF5eFNEymvX0k8oVvJEIgHNdm4pB97gOafOTkzCPfqc8n36nfIGSxiDp+DHHXWcRdZ1EnjyOzQ9ObzVv/6IdvWN/C81BrK4g7z8Ddt6NuO4mqlG/Y+10PN3IecnJuFot9UHoDkOXydouybm+uPrlz4jjpmWPEdR8ZadzLLcyFy1ZvfDDAXL6K2LBTrOPECo7NQPi2DF+Us0W/P7B54PvVgtkjP/emX9lX+1GxVKWMcRSm4JPWfNKig0gN3tUunL9M2m5jooh0fRPRaIKUpMOd+qx+XQ9Zr9oiLLV9fyFSjcnK+U0c2bZLdUQlq3gdBOhW+7q8Z/c7Dzk5i0C+qE+S6YiIJNMSSeeX0ZhUI+IUGWlkbF8zzDyxlnDR3qv5tBlplZhUcyPDYhc+d2n/L8rmQggBqdWNN1IgtIEk3Rrv6HPvoc+h7keSIiY/b6qnQzY6hSS1RWda2wyk6+BA85CTc8TJY+pPQn7p/Dt49ZnX3exh3HTyeVhc8pj6fPJF/RZiFCapVTGOQgxCG8bpdm/9A9qcJxX5oj6fhQ6/CKVQ9eVpR/sJl/odSVN0GM6t1hSeh/R9W7CUpgcWSBKuhyj4VujL6AMLGe3EsBiJgRUNQ2tEoYDyXFsBGYboIOTrXv/3+bUfe/f28Q31Yzxvej4nULUaYm2FtF4GJUjLLnHZQXsCNdAULveQVzatSNr2Ae54nYba9iZJrPDasVXR6gKXAAAgAElEQVRYXUIXXeQgtgqJ1zZAp1atsl6DQqbTHsX2GqZ6z9f0a777K/n//sv7dprQG3KdcnJuJAu9qOO5mNMnEGmKbHYwaQMTpkjPzSRoy6MqyXmIIEQ2WqQz0u6EUshaDZYzUalh283G/n7JhUCWi4iVZXSpgIgTZKuD2YNM677Q6TYxqJGcbq0MxiDbPdhssHrbyvQQfR+5tmKFw4Zt1zfQwQz3puOrNJ97nM5ZRepDuKYRpwKqlQGNjQr1v1zm+Md8VGv7Qa9IU9vvxiY6SBGug6zXMEtVkBLZG6A3wHQ6yIJPetdJNp5ZJlwR+JuG1U8VkJ0uejBALi8R3X2C4JiH0Aa3k+I2A0Roq2rlZnPXa7p6722Y0yfmTqdIU2SjffjXKSfnBrLY4Re5Yu53XgHMcLSXauR2vxuTqnzbGNrb7aXtTgyNLYbGBwftZ7+MzcPUHB2wrXAcm4M/fBIaSg1nTlIMAru7nVHYtNN1MtpsM00YPd0oaQ+Pg3BrcZXKmoQMr01maTiUT97PNd2JXecs56aQh1/ms9g7dcP8Evd5LvX7fg9zsDL6Gf1gsjENda+LBbvYT+h0Hyoz5uEnPvIWvutFP2hDH+Nj6A32tCM1SWLn5DAUXne4TjtmD+kUE6YH013JrulPfOQtfNcLv/8gPeTkHFkWe1F/ojgsnZOsH+F5iGply6FmECI3G6RPUMXp2173DmslNz6GfoDUhnQv5t0wbTG3gE98b3vdO272EHJyDp18Ud+BYTYJy3W78AWZQ1Gzue+Y+sj6rOjbvOx2F/34BXQUP+E+jf2O3ZGnV6/BtQ37n/sYwyhWXylaf9d2d+TqtEj0O4PdG+XkLBgLvaiLYgF539MwSpEs+YRLLtq1HprFy33UlSbEsZXZHVqzaRBhhBiEMCusUvAxRX/UliC0Xo9ZyMEM7crGK0prPjLVOM0A2exaL8ttAxV2DAXPWssJgamUkEohdxHUMqnG9PvoQQA6tZWV5SL4NpPG1MokyyVb3akNMkhRg9hmvsSp/Zzh9ieAN7/33/LAS/+9/ZwFH5QgWSrQO+kT1gXCQGFTU7ocorohItFb/aQpplIiXa6QVFx7SCkFdHvW9Smz3xOFAsJRWdsyScVDphr3ahdz/rJ1TRq2LRUR0rpYpasVkpKVK1ZBggwTRDw9RyJMrAvU5Fzvgo3NB+henzf/9g/wbc/6XivfUCzYwqo5bXeNqwthvWdLpS03q15/dKMTvo+slK0U8sQ1PTSkQhYL28agu73rD+uNX1MlMWGE7vf31K9wPfu5fc8WqA0C+9rDCGnmzGShF/XUl/TuqqFdQe+4YnDSkBTBazksfb5CTQhEGKNLHnHNI/Uzr85eitMJ7WKhsdWM2UKdlj3iJZ/Ul9Zg4zyYK+sj67YhQinMco3O3RV6JyQqMpSvuJTOK2R//kIjkiyA7Hvogm/Vd8bHMEmcIJW0i2ki7MFhtYopFdC+Q3i8TPeMR1QTiMT6fHpd66HqDDRuM7T2e2N9f/urfhyzViepFYirNhWxd1zRegpweoDRAnWuQP3BIsUNDxkZvHZmzp3o0XwmJWW9QwueHWM2L7JcwtSs/2q8VqJzxidctvNZ9xXFRhvd6djslxltgxWJMOD0PPyORsbb50VoUIMUrxUhe/tcsJIU2ZaYIORbn/Y9No1zOIYJqQJrJi2sicgui69Qyp5P1Cs2U2qQHRRnC5/0fSuHMHxSA2vRd4iLulDKmrIsbdUpyDi57rCe7bcI9SpGSUQ/QCTJ3hZ1z7XyEpWirUiW0s5JvqjfMBY7+0WsmBeprwCslydZRoP0fWvcWylhhED2BphGE93tgVI2pLJUw/gOYhBBo2U1Roa75vHc9p3CEsMsCiFtTvMwe2MXhOehlpcw9aodQz/zHW20pl4/alurbDnPN1qZQ7zeyqjJxmCHPDbeGeP5lh/6et71I7+67XMO52+4WzWZXMLcvnabo+Gud2J8M7NJZrUde79tYxjnoCfh2Vi/5Y1fz7ve9KvbxzCn7Z7Z6fzlsDXoDzKGm9Xv8LWHNJ48+2U+C71TB0YLhNGM7v5pnCDTFNHtIQAdxVtFLWmKabURYWjT8IRNx1Mnjtt+gmDuI+voUbLgg5Q7tt0JE0XoZsuGgcbc5Gc9ipsoQrc7iDCymidRbNMFh23NQbJ8hlroW+83nL89/8qZXXaYIy2Y+eMTjmPns1i08xmGN88eboF14Z+w97mefhd487hoLP5O/TplAoTv251wNTMe7gfozcZM9T/h+6iVZVugIwSiN7AHhEfVvf2II1wPubIEtQpIuTX3uelzzi7kO/X5LP5O/ToxYWgNqS/vse2lPTQ84vzM3/443/q077nZw7AZOFeuwpWrN+X9j8o85OQcJk/6Rf0oMNIVLxYBbrhL/b/9Bz96Q/pdNPJ5yLkVuTUX9eEBZnbwZ1JtDSoOEmoalqPPOEib6nesrUm1PXgdxr6lslkEkxkWYDNafB/j21Q+Ece2j/2PdqLjzFpu4j3La3XE45vbbebG2o4OSfcoZSB8f7voWRiOrPu2CYXB6FwDbTXjd7S6G5/Pw2ybUaoWd/1sOTmLxi25qEvfR66uYOoVjJSobh+90ZhKS9wN4TjI5WVYqWP87VMlUoPs9tHrm+hez7ZdXbFZNa6DDEKrKthsAqBqlZGg1zYTwSwX3mw0SS9eOtQDJVkqjUS6jNq6Kb3+nd/Jd3/t26HZRm9sYpJkW1sBiFYXvb6xa0GRcD3k7acJ7lohrCvcrqb0aBPzyDl0GKKOrRHde4rBcQ9hwG0neK0IEcbIIIbNJulmc3oBlgq1sgQrS5iCu7+2WUbTzLZjvP4dr8tlAnJuOW7Ng9Kh6bPjgJQQx7Zy8wA5wcLNhKvkDAnf8X6HO91h28xoelhkMRTBYpaQ1ETbQ0MqpOeC605/T1sZ3NGTxlhbIYQtbir44CiIE0y3S9ruzkxHlMUiolxGeK4t0Or27OGxMVtFN6OdegpxZMW3hmOYo+8iXM8aWGdPACZOdm47Z+5zbj3yg9L53JI7dYzVDj+MmPSeLel2sa8biWA9kejUSudO7LZf99bX8I43/Nz8tkKgAHzP5hfPCBmNMMYu4HMygEwYkh7wOuzHDnBf1oEZM+chJ2fBuTUX9Zwd2bi4uXMDY7bpst+q7DoPOTkLyK0ZfjkCCN+31nLlkv2P/sBayy2Y6FVOzlEkD7/MZxevt5yDIpRCeJ4VzSr6NpSxR2OG7R0Je4OoVlG1GrJctmcF18Evnc8lZyGfh5xbkzz8csQRjrulVeM6iCBEDLNqDviU9V0v/IFDHuViks9Dzq1IvqgfEsKxfpuiVrWLbxRjuj3MtfXted+z2oaZTnunM7VQmzgivbaB2GyCFBht5ubcD/XfRc2q9G3vyCA6PXSzxen7TrF5rYNcXkZUyyNFP91s7SntU5ZK1gO2VLD9dvukjebN0Wy5Dk7fd4qNS435DaRCLde3X6dWOxNTW9ywZc6tzZNvUR9zk58VDjFRZDNn9pCpIstlu4v2bboeWltZ1SRLqRt6dRqTiYEVszRLAY4DcbLVduz9Rt6cjjPlaC8cx+p2D1MEo2gkBma0gSiGQTAdosmkhUWlzD/5d/+Yf/U1/9kWJUUxIk4wwWxP0eGcyWGKo1KIeo34ZJ1oyUNoKFzqIoNg9yyXoVlIvQauY+crjDBxDOmE6pex6Y46CA9Xc3yM17zxG3jDl/3wjm1MFNuno+F1ivM0yZyjzZPuoHRUULRcw3jb87dFtuvUm010t7vzbkwqnLO3Ed51jHDFRYWa4rkOPHJhercrBKpeGxUfiThBtDqks1zqZ7Sl2UZvNjFxZHfJx1atqBgg2j30xubuomJCoJaWYHUJU/ARUQyNNrrR2PUGJlwPtbqMWa5hXEW8WqJ9u0+wKpAJLD0UU/7EBZILF3ftR955huCuFaKqQkUGrxnjdEJIJiSH0xTR7pGubyzcE0DOjSc/KJ3PLbmoj5QXa5XtyotD9b95bvJC2kKZenVkZkC7O1pQpxh3tNfa5qLPK60XYksvnN3d7ue1PfCiPtbv//H/PsDb/vlP7VkGYPRZs/GglC2mch3Qxj4t7LG4SzjOVlFYJhXAHB36mdrrc8amluuIeg3ju9Z2sJmFSXapKM19SheTfFGfz0KHX4TjoFaO2dBDEG5ZvonMMMNRGCmh6COXl6wrzETbScxAghRWv9wYzCDYMs+YfH/XQRYL4Hq2r0FgwxiztMYz/fK9aJ8Lz9vqdxIpIIzsThswQbj3kEA2hs9+5PMYbWwlaLEAUkFswzhzd8V6bOx7dL2ZOYSDFmENrdqKBfvvKLbjjaNRiArZQwwUJknt+HaZ7M999KEDfIKcnKPNQi/qOAqOr2QWZV27YIRptvuzbjzCGHAdTL1iX5OkyFZn1HYSHQRTFZgzGcaZhweGWb9ojQ6zxeQgT0FC2MVr2O/kt/sBptE8+GGdELz3p/7Q6uPUqph6FRyF6AdI3bhu67MbhXAdO95aBZRE9AaIrIoXY+xT2D512N/7zj+4QaPNybl5LH74JbOzm7JUE2O2aJPsZFG3X4ahEtdmnjC0nQuyjJaDph7OG/9Bx57F1MVynV//qzfzNc/7IRtaarbsTv8w5+RGISas7q5zvL/V+jleVX/NIQws54kmD7/MZ/EX9aNSUToUtioVbegns9A7ShWkslBAFIsUlysM2n1Mf4AeDI7+Yn6DKFYKDLpH5/rk7J18UZ9PXlF6WGTCVun6BumVq6SNxpFa0MGGltJGg2c94zjp+sZISfHJynNe+sybPYScnEMnX9SfhLzygZff7CEcCfJ5yLkVeVKEX2ShgKiUEb5v0+gGA3S3NzMLY1tbR2EKPrrkgyOR/QiubpJubB5qQYwsl5EnjpEul+2/W33MlfV9m3rk5DxZyMMv81nsnboQmZGCZ9Py5uG6iGLROgCVi+D78w9Rx9tWSiRrFYJTJfqni0THy4hKaStf+7A+RsEnrZcJj5UIj5XQ9ZI1fJjZWGT58WOfe9xqb+x7wnG2fy/jX//89+y57a3MaB5ycm4hFjqlURR8xL132+rDZod0szEzf1p3Onve9Y63FY6Ds7qCs1TD+A5iEGHaHVsUc4ikG5uwsckwK90A854DZLForfpqdlc/Xnw0qvysW60S2Q8wm42p9McPvedj26tElZrb9lbmQ+/52M0eQk7OobPQizpRjDh/CbRBR5E1O94NqVCVMqJasXnuO6EU6XKZuF5AexK3E+NGMaLV3rWISLgesl5FFIu2YGivaGPDQ53u/AKfYaWpEFAqIN3jyDQdVXdydQNhNDrOioQy3RdZKiGrFf70g4+hzpzCuM5Mmz5ZrdJ/6dO58FKJe3uPY7Uu337Hn/Ka2joAv96t8X0f+jqqHy/gDAzlKynlRzrIZhfjOphygbTkTX1u4wjCZZf+qiItCAZf2uFvX/KubW0eT7p86ftej2o61B4UHPtED+dSwxYbdXtWvkFIxPOfwaWXVOnck+KsBvz8/T/FF/mzn24eOPd3+Oi7nsOp370EQHKsRrjq8+44JvzWL6Z3WhAcTzGOQYYSFQhkJEgqmjPPvswP3v0eXui3+NXuvfynv/wKih8v4QSQepAUwbjg9GH1UzGlv3iU9Nq1vV/vnJxDZqHDLyZNSZst0nbbZprsdYeplC1I8tydv/wxb1Jj7Nded+lSIBwH4+/yHjPeUziOrYqdRSaCRRjZqletMUpaHRtHQZKgOx3SZgvd235uIJQC1+V3Hvkxq+JorACYCCObgplmBVtKEtYl8rYBLz77CP/o7EdHCzrA11baPO3sZYJjhmBFENYUacmzY/A9dNElLTnElemvoK4IVwTBKnzx7Y9OfbzbnQp3nF1Hnu4TrAqSkp0XPNcKkGXyCUnZZXDMUDnT5gW3Pz53QQd4/Yk/IFjFCq/5HmnJIaxLPvgrbyBYFQQnUoqnuyydbuOe7hGfjAhPJMjTfV595iN8RSlmWZX4jvpFvvDsefu5VyE4bghOpAQnE4I1Q1hT88NmOTlPEE+Kg9KcI8zkzet6fh5n3QgX+Oc7Zz75Qel8Fjv8ModR6KNcAqUwRZ+06pMWHGSU4lzrYC5c3psI1g7IchlZq0Ihy6ppd9GdzuysmvG2SYrp9ma3HYZJhm33Q9bvUMhKFgqIem2kl2J6A3S7zUu/5oX88S/+2fbxzWlrwtBK/d52guR4De0pVJCgOiFiEE4vmnGC6XZJ2929ZQjtIGqmqlVErWpleuME0+7M1Jzfta85vOwbXzI1Dzk5i85NCb8IIR4VQnxSCPEJIcRHs/9bEUK8TwjxYPbn8vW9iQQhMFJgsj8RZH8e4g1eyq3+doudD9tKsXNbKbfa7udrXp9i+2e+/6ueP6eZmGo73oeRY1+jOZ3xdZjcqH6ZPw85OYvMTQm/CCEeBV5gjFkf+7//BGwaY35UCPEDwLIx5vt36icPv+TkPDnJwy/zOUrhl1cBL83+/rPA+4EdF3Xhe6jb70KkGtPtZ+JUu2TASGVNKGqVzKIsthZlMx7rhe+jbjtJfNsySXF7pozQ4G30Eeev2JTEqbH51lqubHXP6Q+sXVwQbNnZVStTtnNCm/ltXQfje6Q1n7TogAFvvYd4/BJpszXVrwgidKs9ZfjxI7/1/fzQq96yw8RuORQZ3wXXIa0WSCoeRoLXDFHnr5FcuTo9Z8PQV7WCUXLLJq/XQ/g+4il30b2vTlCX+B1N9cE2fPYRdBDYsFO9hikX93dND8iu85CTs4DcrEXdAL8vhDDAO4wxPwmcMMZcyr5/GTixl15EklorNJ3uqp89Ik2t7ZwQVht83tOKNlZSN0xQE3sCYUDE6ZYFXGaTJzzP9us6CClH3zepHr2P0WZrDABS2iwZZTNSRJqOsm6m2gqBDLOCI2MQYbI9I2e8bZKMJIjH2YvkrDEGkSQIJTFg58CRGCkQ0Q6a6Ebb65GkVvYYEMUCynXAcTBKoEKN2xc4fY2IEvRwfFpjtLZuT3s1yLgOcundnFuRmxV+OW2MuSCEOA68D/hu4H8aY5bG2jSMMVNxdSHEdwDfAVCg9PyXiFc+UcPeEeE4yNUVWKrZJ4AghI3mnqR3Zak0XVA07tR0yDyR6oSyWkWuLttKXmMQra4tljoCYme5SuPikodf5nPTUxqFED8MdIEHgJcaYy4JIU4B7zfGPHWn11brZ8xzX/K/I7TB7SaoVoCIYkQUY5qtUQaGLJeRQ9MJraHVHT3Wj6zvKqWpQhyRpJhOb24IQFaryKW6tb7T2vqbdqxZB9pYxySd2t11pTJqK5IU0+7YfpNky15PKYQQiHLJhi88d6qtLBTsZxna2XX76EZzX4vkrjriQ5/UpfqUj+sUSqIrBeKaR+pJ3H6Ce6GJPnfRFj6Nfbahbd2BnI9uALme+uKSL+rzecLDL0KIMiCNMZ3s718B/AjwP4F/Avxo9udv7ak/bZCJQUapdX0PY4jjLeMHIZC1KvHZNaIVDxkb/Is+IrBWaEIIcBzwXIyU1hQ6iq0/aVaII+tVu9uWClHwbeGSFIhU28V8ENowThDMtskzNoRigtCGJNLUFvsMwyZC2nizl1VhSgVxYkNLZE8BS/VRZShg3xOsw326x7BTxq4LmZA2FdR1MAUXkWZFSlFsF2ZH2UIp1wElMErYUJg2kBo7L2Of3SSJDQVNIhWy4FvxNDKru8Fg9qK/n7Z7JF/Qc25FbkZM/QTwG1nFpAP8gjHmd4UQHwF+RQjxWuAx4Bt260jGmsKlLiLRo8f6dHLHKhVmqUrnziK92yQqgGUqFK4UYFwPRgiQIKIYvb6J7nYRjotcWYLVZYxvq0OjukdctdNWvBLgPnx55oHhJLrfh1l58Zl9nVxZxlSz3Xenv03PZTSGoZ5Lo2Vz3Ifx/H0+bb3ygZdvxZOHqYJjAmfCdRDuVoWrSTQyTmysPE3tTa3goosuRtibm9sKQIOMEgjC0dxv83GFbY5FwvMwyzWSupVSUJ0AdbVB2mhuM6M22qAqZTixRrpcxjgS1YtQzS6mOxaiGk97HI6V7AYQJ6P5EtI6KL3ytS/jvT/zflvBqxRIYW+QaWqf6GDLGHvIZNroxPdGhuZDI/JJU+05puRCqe0ic/Pex+j9GYbnPOl4whd1Y8zDwHNm/P8GcKD8RCMlLFUR9QrKmCk3ef3gIyw9doFlx8EYq4+SZjoxolgkPbHE4FQZ44DTLeOtVlG94cIkrcYKVhK3eO4qfqebvbYA1QrqafceZNgjRGCFwvTlq/aXduyQ0MQR6dVriCzDxqyuoO89Q3DMFgkVrvSRj16amYEzj/tecA+/+wt/jrjzDMHpKqkvSQqCqCpJioKkBIPn9vlXz/19vqbyIGuqvGufr3ns7/Lhx+8kapcoP7RK/WGN0IbbXv95fuXuP9zz2D4WRnzzR19L2HeR6x6FqxK3B83nhzzyip/ecz+TPP0D34L3gSpGQnDMEB+P+da/+3xO/9MP8NO3by9Aik3KT7duZz2p8vHmWT63fpwgcHHdlKVKn+XCACkMzaBIo1ckDF2KxYgvOfMwr179IHc6XX668SLe9f4v4eQHweumOP0Upxkig+kwXv/OJa4+zyV4SojyUoqlkNVyn7IbEaeK9X6Jbr9AmijUowVO/0mM/7/+ZteQmyyV7GZheJ7R6e07VJezeNz0mPr1UC/dZu6/77Vb4YEgGj3mG623djdhuOU8P4EslZDHVtFLFRt+GWq8zJgXMYhgs0naaIHRNu68sowuFezrwsiOIU1tOMf3RjFpMaaxMoUxWztCozFhNDe0IMtl5PE1dM3u6mWrh762YQ9Vh5Z6xUIWwons554hDCZ8H7W2il6uYVxFWnaJljzisiT1BL3bBP3bU0Qt4ulnL/Pu+35nqo8f27ybR4NV/vCx+0g+XaN4TeAMDKWrKcUrAWjDY19d4Se/+b/yd6c9tKf4ieZZ3vrnr6D6KQ8Vgtcx+K0UFRpadzkkr2jyn5/9KzzVbVGViroszu3rfNLl1zrP4lK0xG8/9CycD9ZY+dsYBIR1RVgTaE/QP2k49rwr/JM7PsSS6vG+xrP4k0fuIblWRMQCtyNxO6Ai0A6kPujsoUPGoEL7Z+pBuGaI12KknyKu+iz/jWD5b/uoQYyIEkQ/sLo92y6oRK/V6dxbo3dSoR3bf+qDcQBt31sFNo22dFVT/5sm5rMP75rqKVwPWSnbkKExNjw4x0dg0chj6vNZ7EW9eMp88b2vtelz7e5Ielf4PmpleZvzvF7f3FM2iarVEGsr6NLWKjRKzRuEW2bSYHO5V5ftQWmqES17oKmz0nq5vGRDKkIgegMbNhkEU4/Qox3VePhlszFfxmCOXsooVFOvgqOy8Ta3y+kKwVv/8I284e+9aduNS5bLW2MwZkvSd96u7jA1W24Sb/2jH+YNX/bDN3sYOQcgX9Tns9CLek2smBepr7D/mHSXP6Dz/PiiLvRWrF5H8ex+svcRbnaYWavYHPUgwrTa6FYbhESdPkl0xyrhsosKDMVzbcyj57duNHsc7643gHn9CIFaWkIs13n2lzyVv/7gg9DsoBuNrZ3bXscwvAFUiqCNzcA5ImmK++ELvvQZ/PWffPpmDyPnAOSL+nyOUkXpwZhXoGIMmP0Xr+gwRG42ED0f0hQ9COyCvsv7mEhjOl1EktgimyjeCqEIgWm28ITAXS9AnECrgxkPxcwbr1TIYgFRKlnpWcDEMWy2bNpkGG7XkR/rR5bLNrRUs08LBnvwd+78ZqYvM2O3PW8M5RKiVBxJApsogs3IatkHwd4e6YfhoVLRyhInCaY/QA8GN2Wnf+Fzl3ZvlJOzYCz2oi5sut8ow2BsVyqUshZtsC1ePcnka00Yks4zp5hEKvs+So4OYGeGTIyxIZB2FyHF9Hh36BfXRVbK1l4vC6mw2dxZrXA4PaUS6bE6wfECRgjcXoLTDHn7//hOvuklb96qhp354uwJRNpKWVkpY6plW/rfDzCbzf17qA5TN2tVqxsfxvYzBOGBbsDXy0985Ed59ZnXPeHvm5NzI1no8Msopq71Njs7tbyMvvs2BreV0Y7A6ad4jRDZj0fx8RFhBI2WPfzcT1m6VDinTxHec5xwxUUFmuL5DjxyYXqxGxbzDAugkhSabfRmc/qwSyqc208T3rVmQzUDTfFcBx67MKXhsicmQyrj7CR7u7QEq0vWWCJOoNHOCqDiw9lVD2PyC/zzl3PzyMMv81nsnXqSwOVrNgQQhrbgCJsTLs9fo9Lo2Z1lbHOnTRzbXXCpgCkVMK51qhH1Gk6pZHOLhxkCu+3WdYputvA/b/CGVaKdrg0lTGIMujdAagPtzOBZKdTxNRsWCSNMrzfa5ZtBgNsIEIlBximy27cpmDMWQFkqIcplhO9Z16NeH93rb92gZoRUvu5ffjW/9rbfQVXLW5rzYYTpdEYOUrrftxZ5rh2vcJzt4x22PShHYDH/un/51fzaj737Zg8jJ+dQWehF3STpzPxsE4ak1zYQm83sP7ayTYTjIFm2O1BXYRyJqWSZLhpkz0Vqg4btpf4zmDK0HoZNXG8qw8XEEWm2Kx/qxJhKyRpa90Mbix8M7G46SRCDCKWEFQ2LJ0S7hmSLrSgVMAXfVsMmCWIwmK1tloWlVs8cy+L0RZvDnMkTmCCAbKEeD0MJ30cdW0Ov1jCORHYCO95whknG2DxMzv1M9tP2kFm9beUJeZ+cnCeShV7U5yELBbto1iujdEK90dg9BixBl4tQLiIAkaY2rLO+uXtO8HUIem3vSCJqVYIzdcJlB2egKWoQs/RnjCFtt6Hd3kO/WyGVd/63P0ecOYVpttGPntv1kFN4HnqtTv9shdQTFDZ8/EEIWWrntrbDdNKlKkYpZG+A2WjYcV5H2xvBO97wc0/I++TkPJHckou6jmLY2ER0ulZIqlKGe85iyp4tH28NYLOFuBoilof5iK8AACAASURBVJcI7l6jd8rFSEHxWkLp4QZc3bDZL1Fk48hkeeC1CqJUAiUxRR9d9tG+gxYQewrtWpceFZRwywWcpZq1mRsMrNhXGGJSG7oR/YE9ZI0TmwmThUr01XUKg4CC79nX9nqkA7uDFr6PrFYQxeJ09sqw7S5Wcm//pe/ku//Rf4V6FVUqjsysdbtjQ0DjlnpDQa9Gh0rD3hRNEKI7s+P7JorQjSai10dIgY6TuaGs/bS9EfzER97Cd71wR8n+nJyF49ZY1DMtc+lbsS3S1OqXZ0JSolJGe4qk7CBjjWphPUJ7PZTrIVKDkQKtMp30fkAyY4ctlEQUi5haGaMEuuCSlly0JzHj66sxIEAXXaBktWmkQAyrO02WijhcwISwOjOFzB80iufqyYgs5GJ8d6oASGSxepthM2Oe0hQRxvz4v/31UWWrNelQ9smkWLD+hkIgqxWb7VJwrWb7Zmt7Tvs8jE1xZC/x9v20vQG87XXvuCnvm5NzI7klFnXhecg7zzK4a5moKnECg9eOcVohJBq6feRnHsXNwi/je9j02jXU+6+xNPZ/eymiFqnBudJEzqlUndRI3wlZLG5rK4fVnDPSI3UQoC8fYBEcC9V0Cynpg9tztGW5jFxbgZPH7A1r/++wcPQ7Mw61c3IWnFtiUTdRhDl/ieJmi5KjbPFPwcP4HkhIV6vo0ytoVyJSg+pH9rAvTvbmUp8hCj56tUZwsoyRArdbwqmWcfoBRklMObN8cySJFGjXytIKDf41B9nrQ6+3ZalXKVsZWyWtzK0QNuVyLKwiHAdZrY7aEsVWiiBb8GWlshUmSVJMtzcSMpOFAqJes1owY7v6N//u9/PAyyds3OIE0+tjNpsjTXdTq2D86R+RUb+loh17ySetFtCuRAUJzqUG6cUrN8yG7rB482//AN/6tO+52cPIyTlUFnpRF1IiS2UbzohidH/dZrhkPpmyUrbhhUoR7UmSkgINZGnbIk6tSNdgYHO5dyuA0QYRW8U94whknCIyiVakRHuKtOTYuLoGmRpkYNUKRZjZ7o0jbfxdaANhjCCLqyepjZ0LYWVwK2VMtWQFx5RE9D0r4yskolBAL9fQFQ8RpyjXQWFvdKJYQJRLIx0bkVndPfDl/wlT9ImPlQlWPLQDhY2EwkNXSTebCClQtSppvUhS8VBhimMMMklsv6XSVr9KkJY9knL2uQXWum4y3g+Me5/iOjaFdBDAINiSER5ijD1rmJcXLxXSc+2ZyQHb5gt6zq3IQi/q+B7ccxaRaGSrS7q+YWPVcUS6vgHrG4DVc/FXl3HLxdGCfhDSdhs+3d7WxXApEo6DWl1BtWqjNMXx7Jdty7lOSRsNaDSm32S88KfgYySMlqmJe4KQAlEtE5wsEy05yMTg1XycehmRplYWYNg2NYjuAL2xyT/+vq/iF3/2w6w/c43OS/os1/pc/twKt//+SfzLVxFCkJ5cZvNZFQbHBE4fqhd8yudK1qh7rF+MQXVDVDdLfwxiaHVnVqvKYpH0GXey8awywarA7UHlQkr5XA8RbQ96TV7TSVSljFhdRpeLCL2PtmmKzArVvvkH/jfe9aZfnb4GOTkLzGIv6mEEn38cozU6SaZ3exlpt4cIQ3uQOGFZp9PUFi1dp8mxSRL0xiai1ba79mG/+825ziQFRL+/lb89a7yZo1B64RKF9U0KnmvfK55tCm20Rqd6lMmTXrjMbb8RYd5vpXeP9a7A+iZpFFmj6c88wrFzZevGlBVlmWBOXvrE+EjTmWPQgwHykw9x4tEKuK51i4qimf1OjneS8WtqYM/Xf7e2slzesh1MrZ7PyHYwJ2cBWGiZgJpYMS8S1ldDuB6i4Ntf3DS1glrXG9PNsmqE5x1uvxOMlBeHxtNjzkczxxCGo0VGuJ6tilVqpD9j5lSf7vTZtqHUVmGS6xCeqHDli3wGzxpQrgT0OgXEVR+3JZEx+A1D+arG7aaoQYq73oVrm9Pa8b6Pvv04vdsrRBVJUoTBMUG0ojEKClclS5/XlC/Yg+CkqEiLNk1UxgY1SHEG6VQhVlxzufp8D/nCJk9ZvcYjjVW6n1mm/pDVIZepQcYGmYKRkBQESdFmO6kI/LbG7VotnrQgSYpWU147EC4Jojpo3yBDgdsFp4d9KuoYihsJTjdGxhrZ6kOjDVna6vjPinAcq3uz3+uUM5NcJmA+i71THyKV9RFdWbJmzWGEaLRIN5vXtQMXSiFrNViu2X6DMOu3cai/jPLYKu3n3Ub7ToURUH80pfZxiX70cZvquFQfFTXJfoDZbNjDUEBWyrC6tFVR2myjNzZ33Fn+zN/+ON/27O+zhtvLNczEE4FxFYPTZTpnFHFNYO5v8Tf37+w69MZrz+QPLz2Vyxt1yh89xvGPlHHaWZaOsGcH8XKBx17h8/Wv+ACvXfkg97iVqX5+unWSN3/gq8EIlo53+MITFzjlt7gU1vnEldM0r1YhGVrw2T/uuPsqn3rWb27v6IX2j8/FPc4lNR4MT3IpXqKuBnxp+W95vu8h1n6f4NrL+L8bT+O9l55FL/K2rokwPHVpnZ+/8/1zP/N7+gXe9Nl/wLXHl1FdRe2hCqufquE0BvZnZaNJ2rQ3NlkpbxmqxAmy1SHdaBz5w+ScxeOW2amPys2lmCrvH+l/F31baNPKHqn38gu1Q7+HhXAcRLFo9Vtg2vlofAxpur2UPstx38/4Tj/lFBcevLS938kxefYJAKkInnsHF7895FN/52dRYvdDie+99Dw+/B9fSOWhLle+uE71VZd481N+gxd4ESXp7fja0aIeSWQokaFApoABGQtECkZB6QXrfPB5/wNfuLuOZ5yhVd3PP/4iKvosn73Uwz/vUbpskIndxccV0D7EZUP9aRv807s/zLML5/j99rP45U89n8KnizgDKF3R1B/soS43tkJJw0NfbbYf3A59SJW6YT9HTybynfp8FnqnLhyFWlqxvzCuaw8WlbSHea32VppimmKCcGRVZ+JopgzvTHSKGf7yjTvaTy6E2XvoeXooO2CSBNPpwDwVg/ExTL3YzL05jR75vexmEVl7u1K1ONXvVNswJG1YYbDiZ3xq7znLU678M6jH3HP6Gt97x+/zlaXpQ8m/CGN+40Mv5N6LAarRoXauzMVPnOS7B9/IWqXHt539AN9U3Zh6XUsP+D/Xv4hf+MCLWf6kDes4ocEZaGS6fT61EjTiNV4ivolX3f7XSAwbcZnNuEyYOtxdXucbl/6CZ3r2c34u7vG2q3+Pj149Sy/wGJyvUnlMctfyEs3PhhQ2Y7xmhNAG7SvikoP2BKkv6T2+xttPvJK0YPBakmMPa6qP9VFhasMtl6+R7EXWIDsDIY/N59xgFnqnXi/dZu6/97WgBEmtQFR3SX2B10kpPLKJfvT8oT7eykIBubZqK0onDlxFnCCO0iP1sNR/bcXGxsFa1G02+H/+5I22PH4YSxcSWS4hV5YwlTE7u83GTAOLYaGSqVhly0W1vstlAhaXfKc+n4Ve1GtyxdzvvML+I1MaBGuKcRgZLTORtgx/Ftt8R4eiYpXMdq43GNnOCccZxclxHesl2myN4uSqWkWsLNlwUZzYcNGsEv2hTnuWrTGJCCIr2tXtWQVEbbaFpMSdZwhOV0k9ideM8M5tkF6+ar9frYzMLIgTq/8+ngUyNg/j/U6iThwnvesk4aqPSKFwqYt47CJps7X3Oc/JmSBf1Oez0OEXDCO7OOk4VhtcKkSSWAGtcO/epHtGp3uK3JgkwfR6tuCHLE6e6b0bbTBhhOj0EFJi4nhbWp+JIuj2EGGEGaYTzpLeNca+Lms79e04s9SbeHJ43Vtfw0/+m19GNjv4QoAjEb0A0+6OrPFM35bQC9fFJOlWrHif88AgwLnaRgZ2Vy8bXXTwxIl27cTr3vqaXKkx55ZjsRd1IWxKn5LI5SUr4eq7iEGEaLYRm80ZlYrZSrTTYj8WlrB/ZO5BcuywCyCOp/1LM6chk6bZbrS1NdZxrfXBwJpZDF8mxch+T0fxqHBqt/HpKIbNaQncbUi17XNvXNzEhCHJhYtw4eLsfoPQ2szBztZ7E597su2kNPBR0pTZuDitxZ+Ts+gsdPilsnzGfOHLvgcjtlLcjAAn0LitGKcdIJKJZSTVO8a+Va1mQx+ZM1JS9YnrLtoV9NcUracAZwcIYXA/Webs+zqYj/6NTX9cXoalqg2pBBGm0bIVpULinD5FdPcxwmUXkYDXsYJjIk7RRZe47hNXFEJD4coA9fBFWxU7wSinvVqajlXvxDBOPif2PcoQqhSn+40TaLRmF+EMdWyW65iCZ3PTm+3rTifNydmJPPwyn4XeqasgpfLgjNhsklqTijDCGIPwvGyRdmxqsxCztUkAHYbIZgt6A6Tn4sYVhCmhPYkKDH5LEn+6iDBQvhiiLm2SGJuiZno9hE6toBggfA/n5AnbsRS4l9q416z+iAgia7GnNapYgLSKTGzmiepFO2dJKAlSWgGwMLIx+Xh25eXWB7MytyZJ+KXz75gyXDaRzRgiCK3hdcHHFH1r+YeDqFVRvm+zfOJ4y/Ive+oAMlGxxOq57DW76CYyax5ychadhV7UTRiiP/uQ/fukDdowL1hIZLloFyoprJKh1turEscP/eKENLQ3CuE4yDDEieLR7rvYbG9zMxotvZmvJ0P1xHIZceIY6XLZxvybPcylq1vuS1m4QkiBKBZRSYrsZ1kq3b4Nq8wjscJcAqv9vmPmyYwDze964Q9Mz+WY3d5Qf8YePHvWl7ToW9NsQPYDZJxYu7sbqYk+NkdGm72FgfbBrHnIyVl0FnpRF76PvPcem1aXiTSZMNzKPKmVQcotO7tu175wbGGYatvtozONdJMkW8JgQuxrQZEry3SefZzWnQ5IqD1WpvaXGt3pbFnf1atb2S+NFunFy7suXLrfH8kHTH6WqTEMQyrVLAOn3UOvb3D6vlNsXJohJjbEmC3BsUxOQK3Y0NJk9ekNQyrUyhIs1+0TQBTDIVQJj7PrPOTkLCALvagjMr1yJKZaRnmulbd1FMZzRwvQKNAyYwHUUQyZtRxSoKN4tqXaPneIerNB9ZMOpfNbO3W9bg/mTJpiWm1EGIJSmDhBD4LZi5VUVmWwXLJtwwjT68000JgachiiNxuIft+GX6IIHcW85o3fwBte/u+m++10pnf8mU6JbrVt6ftwjm50BovR6E4XmST2YDpN7RwdYljnNW/8Bt7wZT98aP3l5BwFFvqgtF48Zb74zn+6cyNjbIii0ZzpUHTUGea0i1p1ZGhtGq09mXrs2K/r2Vz5esXm+PcDa76xmzl3Ts4RID8onc9C79RNEJJ+9vM3exg3lG0hoEPi9e94HW973TtIr12Da9cOrd9FYzgPOTm3Egu9qO8VWSohqhVEwYdUY3p9dKeDSRK7Y61VEKUSSIHpB7PDEDByVBLF4qitbrdnh2uOMJ/76EM3ewhHgnwecm5FnhSLulUydGz4QmpwnFFhEVLYf7sORgqEo6Z0XUZIYeO7Y22HxguLxHvf+QeH26FU1nZPCMxQQG0BhKsOfR5yco4AT4pFXfd6c+PpJgxJr1zdUz/7aXuU+a3Wz/Gq+msOpzOpUMt1q2Vf9JBBDI32bK2aI8ahzkNOzhFhsQ9KCyfNi898i90Z9vroVudoKCQeIsJxkNUqolaxVnxRbA80+/2pg9K5bSduaMVKgUH34HnlslCwh6xFm7dOEGKCzI0ps9tbhOtwvfOQc/PID0rncx02zEeI/ZTLLzL7+Zw7tH3OS595CIPJMAaTpOhuD93poPv9hVjQ4ZDnISfniLDQ4RcTRiQPP3qzh3FDMUmyVQh0SG1f+cDL+dC7P3bgMekgQF9e/B3u9c5DTs5RZKHDL9vs7MaQ1Sri7CmiExW0EngbAfLcZZsaOBSgqg/zvqPtLkkHZR/9CsdB1muIagXjTtxXjbFVrc0WOgim2opBiG61bXXsvH5rVYyjML5HWi+QFK1QmHe1hzh/ibTZ2sp/r1asW1RgC4x0p4OsVun9vadz/mWSyh0tTlU7fOuZD/Dq6uybxT988BU88pv3sPqpCBlrnE6E7NhFv/OMVS6/SOLe22Gl0uc77vxfvKa2Pncaf/DKF/C7555OELkMNou46w5O39rYuT1w+obUF/z9b/8z/sOJv9722s9Eff79xVdywm/zoupDPN+/QFUKjqvytnafigb8m8f+IQ83Vrh7eZN/fvqP+IqSlWVIjeZDITwYneRT/dP82sefz7E/dalcinE6Me75DdJLl+cLmx3y9d8RIZCVCnIpE1Ob/PYOPyuLTh5+mc9C79TnojVEMWqQIKVAhrGtNB2SphAn1t4uSTi0G9tkv5OyvxlG2wyRoX7L9m9a27PhmLa1zfpFz5YSGLUdjkEIZKDsRTYGYQyiWOQHf/IB3vK6n7ZSv0mK0Nr2m41XCIFWAuNpyn6E7yRspBXOJ+c4pnxaOuJyqthMSzwar/GZyyeotQyqnyATjQgSRJyAMbi9FL+h6F0tcbHr85ul53KP93t8kb99/LFJ+eOgxud7x4hTRZJIRCDx2gKnBzIxOH1wAkMawh9ffgpMLOr/vfFiPnH5NCX/GBeCJT5RuoOKCrnbv8rzCue5w/G4mIT8980v4dOXTvB/Pe9r+d6P/zq/7L+I/uonKImQh6Pj/HXvLBf7dS73qrjrLl5X4/QS1CCGOJ6tbX+Drv+uaA1xnMlDj/U2/FmZ1ETKueW5JXfqOTPIRLpYXeKlX/NC3v9bH7duRhubU7tO4fvw7Kew8ewqwf/f3pkHSXZVd/o7b82tspbu6lUttVpoQbYwiwwCZAswSDJgNB6LCBgHYPAM9kyA7XB4wcM4LDAOG2wTbN6wDYPxyHgAgzW2gBEWksEbAgmQW0Lqbq1d6oWuLSuzcnnL8R/3ZVVWdda+ZZXuF5FRme/dd99592Weuu/ce89vWHAi8KeUYEpxYiU3GhGeOEt8cmT9HIYI3oH9tI7spb4nwImVwskazomTG6aS9NLXX8tX/uprG1K3ZWOxPfWFsU796URH5kpgUUV7CUOcfM7M4QfzpJMks/PQW631n7KYCXu3RUi01TJKTNv4O2rZGKxTX5idGX7JnIOERrdTM3m7Xp833Ub8wDhU3zMOtNEkbTbX7tyyR/s70k/zCue1ixdtNk1q3c0kTZaVqGy9WE47WCzbjR3p1J3AN/J2WTpdpzpNOgbaC8mqlkrhK2Lyvw8NGjHpOJmV5lunqYLWkRlsO1h2IjvSqaeNBulTp5Az2WP8Imr3m4IIbl+fkcnLHDUTU91XXaqSTFagUt0wcQgbSzbYdrDsRLa1UxfPwx0aziTVGnNzkmehhq20TfJ5JAxmRKtpNJFmC01TtNFYeBaFKmhiUoeL4OTzSD5nBKTj2CzwWUNo5JpXPW9FzszJ5XAO7CPeUyb1HKP9emqU5Ny5lf2zyVIKSH95Vs90fJJkfBLSBKevDyfThyVVpFKdET5ZEY6LUyzMtn2zSVpvmCedjvZ84U+8iH/84lEjAr4e4S2LpQfY1gOl/YUDes1lP43EKTJl5vZqI9PN7HSY3Xq6mVTaeXSWFUE8H8mFJllVkhgtzw7Zt86Bx87zOsUCzq5B0rIRiHam6uj4JGm1NiP0sLBTn7VB/AB31yDanv/cbBkR6KmqkeTLpOqkywpSTdJFB0NnpO7mt4MjOGEI+RzieaS7yoxfNcDkMxySvFI8KQzfW8N74DGTEqCdHqDLU4WEIU6piAQBBD7JngHq+/JEBQd/OiV3po53dhLihHRXmfoFJRqDLk4EpSfqeA8/STI6NtvWrjubOGyOJOFsO0g+D7sGSPuztp9uIeMVo6Xqukh/mWSoRBq4uNMRzulR4rPnZtup/d1oC3JswG9EPG/utbTbD9b9yWwnYgdKF2Zb99TbaOARHR4mKu8nCRzcZkowGeFONYzDr9VnJOrOk0mbU5Gafw5j46S1Gu7u3Yxdfwlnrk3JD0/TfKLEwbtTinc+SFqbxju4n9bhYZq7fCSGYCrCm2wiUUKa96kPhER9HuqAaBnUiFA7kc4pO4c0nbVh/qChA8lgkeiiQeKii7pCVBBafUISCnMmPSsUzqQMfmec9KETc55a3v23v8ot/+UjcPEh6of6SHJznXqrz2H0hgZ3XPthLvZLXdv8A+OH+eDd1+NVXEpPCLsebBCcrc2RnRPXZez1z+VFb7+HD+z/BgC/O3YJf3T3yyk+5lA7pLzhunt51/DRmXo/Wy1zd+Vyjk8N8+jdhzlc2wOjY7h7hqk/+0Imj/gkoeDVzRRLr66oA62SQ1QS0gCSAKI+JS4o6oLmEtxSkSCM8LyEoUKdfcWn+J/P/O+89o7/R//tR9h9W4tkfBy3XDZhskLOjGdUqiSj4+ua+sAtl4medYTxK/JEJSGoKKWRiNzpGtKKF77/Fssy2N5OPYqRU6OI6xCMB/i5EFzH/BibLdNrTxVtNtG2kLOm6HTdLBBxztfb7CyrtRqDRyt4zT5axT52TyaUHh4nbT8NTFYInnTwR3OQpEgrgnoDTVLcwCc/FpAL/fPzsCSp6XE3mmhyvjybscE4EY0j0soUEkWI4+IFPu5YaNL/ui5JOaQ1EJDkHCRV3IbiNhIkUbxKA86Nn7cI5vY//TLainC+N0ahFYE3tx3SvI8kfdzwxC8TDUc4YcLAQI2L+scJ3IT7Tl6Af1+Jg8cS3GZCONbEPzWBVqchTdBMdk4TGPr3Ke689flcfOlzIYXi4x4HH07InavTPObzN09exycPX4sGKU7VJRx18KvgNpT9j7SQM5kEYLVG/pEx/Eof6jk4UYLTiJFWDCKkOY809FDXQT0hCd2Zf3SJ75AEIamXQx2YCgaYCA7wZ1c9zsBXiww+kPXigbTZxJmYhFrdSOrVGwsuIlotabNJcHKMXa1+0tDDbcQ4EzVkqmaerjruv8WyUrZ1+OVpP09dxCxNH+g3A7BRbBYUTUwuOp7QU9kJ22EV2JBB4cXoqXawrAgbflmYnZGl8emKKsnEJPFjT5B89zjJ8UdJzo0uOUD8qZGPbpKBiyNhiLdvL86lF+NcfgnehQdxSt3DPRtBr7SDxbKe2J56D+IUCkixaGZvzEObLbRW2xnx1s5FYo6YQehttEjMsnXYnvrC2J56r5FJ70khhxZyaDE/+yrkkIKZkbKWHPKv/G8vX0eD10C2gjQZHycZHZvRjd0seqYdLJZ1ZHsPlO5EVEkqFahUNuwUl119idXnxLaDZWdiwy+WJZmRySsWwHWMdN1UdWeEgCzbEht+WRgbfnka8nt33rLyg1zHTKP0PcTvMk1zG7KqdrBYehwbfnka8hfv+r8rKq9xbFSjzo1ukEVbw0rbwWLZDmxrpy5hgHfB4fN3tCK0MjUjJeYUCjj9ZciFkKZotUY6WUHj2KS5HehHinnT+6w3ZqXEHBe3XEL6+kwvNfRJSznios98yRqnleKdmURPnjIydGGIUy6bep15D0RJglaqMwODEobGhkIeAJ2um7nmK8x50s7REu3rJw1dnGaCW2kijSbSsaT+dNPDO3QBWq2Z5GFpgnfwAM3L9lHbHxAVhIkrlEM/cIrn736cy3Kn+en+03PO9fVmxN9Xns0T9SHuuv8Khv/Jo/x4E7ce450aJ3nqDBpHeAcP0Lh8H9N7faKCMHUxOJdVOTA4yenJPqJjZconQGI496KYz7z8D3heNuvnXd+7kltvu47BhxQnBr+W4k0npJ4wcp3P22+6nbcPPg7A+8eO8Iffvg5OhwRjDkMPJZQfnIBWRHSgn4kjORq7BacFfScTSo9UOd10ia6/mpEf8ik9e5S9pSo/e8FdvKY4G1Z66dGb8N4zhHP3fSu6FxbLVmHDL6tAuo1DrHVsItVNW3Tzoc/9nHmj569mRdsvQVWIU4eky9dk2Gky6NXo9+vgpegyozHqQuDH9PlNQj9Gs6olO2+nwJsvCakPcV6IQyH1ZveJQqSzK2ETxDRfuwnnp/rJ9kk7rY/qbDsAqkKqQjrvWlUFujSTxdKr2IFSy5KIH+DuHkIH+lB/bkoBiVOkUiM9N7q0UHJH3h3NB0gjgrEJkrGJ85OOtcsODaA5f/GylqcddqB0YbZ1+GWzmQmTFAuoIyZR2PjE0s6sx7j5F1/NZ97/d8sur1GL5HvnkPGJ8/e5LhQKOPv2IL6HRDE6OTUT1plDmphEX1NVI26tikZxdye9krKrZKXtYLFsB6xTXwlpptAexUbAIk6Wr/reQ+w6MLTiYzSOuy8MEsFxHMRzTVgqToyC/UKkCdpM5kdH1l52FaymHSyWXseGXywWy7bDhl8Wxg6UPg35g3veu9Um9AS2HSw7ERt+WQmOi5PPGRWfLUpAJZ6HhKGxAdBWy+TfXoENH/iZP1n6PGFo1I98D+kr0Ty8m+rBgCQQ3JYSVFO8eooTpUYc48lTJJUK7uAg8TMvZOpwnjgU8mMJxUcryKlR0NQk7wp81HPB90jKOeKCjzrgJIrTTHAik35XWjHSjCFNZ8sWfVTAbSRGVq9+ft5xaUXoZMXE9Rd5Ev3Az/yJme66d5hkoIT6DknBJyp5JDnBiZT8mQbeyBjaZfWsBAGEAeq5ZspoK0KbLRP3j2LSZnNVsoPiBzj5HPiemf7aaFq5Pcuy6TmnLiI3Ah8EXODPVPV31lCZ+btOPwYn8HEGB9By0Xyu1UnPpec7VJEN+wFKEOAMDaJ9BWNDpUY61kXAehGmp+pLnERwCgXYNQBhQO3CMiPXeVz6gsc5Uhrl+NRuTpweJhkLcad9Bo+GDNebJl/Nvt2cfFmRQy99gsN9o/zD8csZuHOQ3d90kTQl6guJ+n2S0KFVdKgdFBrDKamvuHUHf0pwG+Ak4FeNupHbUlolh2pWVj0lGA8pjuTJj6XIvCmHfiUm97iP1OqLKhZNT9VxBgeoXbmHiSM+SQ6au5R4f5O+/jq1Wo7c/SX26FgDOwAACrlJREFU3uMTnq7OOVZdIS5mAiV5B0mUoBLjTTRxWjFSb+KMT5K0Wiv7LojgFPPI0OBMjnyZnELGJtZVfcmyc+mpmLqIuMDDwCuAk8A9wOtV9YFu5ReKqUsY4g4Non1FcB2kWp+RqFsHI+eKOmSzMcTzcAb6YaBsereNFjo+sWRvcVW0tUXn2bBcPv7dD/LmK35+8UKZTqc4Am72hJLLgeua3mOSmvNmylJpowlpYtqhUDALqVzXPEXUG7M91kyEW0TAcWa0OmdIOgaf00wwI02N7ujuQdKB4qz49egEaWXKlOtAlzlT5uPf/SBvfuYvIEEw8+QjrgNtm5IEWpHpJXcb/O28Fowm7Bz92dUKfnS0/WYLh2wXbEx9YXrNqb8QuEVVb8g+/xqAqv52t/ILOvXMsZDPGWHfZou0Wuva0xHPQ/L57srzK7Hd83B2DcFAGQ09ZLoJoxMkExMb+oOUMDTX6nkzUnJpvb7ic8488och4jpouUQyUCDNe1QuzDF6Y4P3XP15rgqf4v2nX8FX77qK4XsVt5niTyX4kw2cRjwjJUijed7MIMmFTF+xl7ErAlqD4DQhN6rkxlPcSAkmY4LTU0YkOo7NfasZiTzvokOMXnuQsauEJFSCcYfiU0p+zDjRJBCSQEhd8OtK/mxEMDqNRMkcjVqnWCR51jMYf2aBVr/gTSv50ZRwLEZSJS64tMoucU5wYiU3mpD7Xh2nHs1tsDSd21kQwcnnkXzOyCTGMVqvz0x3nXOfNM3uU8POuV8l1qkvTK+FXw4CT3Z8Pgm8YKWVaBwvO32teB5OfxktF1HHwalOI+ssNLxhdIRJtBAizRiZqCCt1qLhmDf8xmv55Ls+PbeqwEcG+9FSgSTnUd9fZOqQS6ssyDUTHH/BrVnJPH9+4dfgjV/jyP63QMUndzakOBIQTKUm3j4ZG1Hteb3baDDPyEt8brrhX/ipoX/maGsf/3vkxTz42H5k2iP3VI5dD/iUHvWRVowzWc3GDBLivQOcuTblPS/7LN8XPMXtU8/i048+h5OnyiCKW4rpK9UJ/Ziz4334D+Xpf8THqyv5s0WCVkQ6PY1T7uPU1UVKrzrN+37guXz42N3cd+wi8o+FSAzNIYWDdYb6a0w1AkZPlOl/uI9wcu7TgJNA/kwTP4pIazXEdZG+0px/6jIKZE8oTj6HDPaTFnJIkuCMV8yYjHXqlnWm13rqNwM3qup/zT6/AXiBqr6to8xbgbdmH78f+PdNN3RxdgPnttqIeVibloe1aXn0gk0XqerwFtvQk/RaT30EONTx+YJs2wyq+lHgowAi8g1VvXrzzFsaa9PysDYtD2uTZaX02jz1e4BLReRiEQmA1wG3bbFNFovFsm3oqZ66qsYi8jbgS5gpjR9T1aNbbJbFYrFsG3rKqQOo6u3A7css/tGNtGWVWJuWh7VpeVibLCuipwZKLRaLxbI2ei2mbrFYLJY10JNOXUSGROQOETmW/R1coNybsjLHRORNHdt/S0SeFJHqvPKhiPy1iBwXkX8TkcObaNPzROT+7NwfkmwZoojcIiIjIvKt7PXKZdhyo4g8lNX1ji77F7xOEfm1bPtDInLDcuvcIpsey9rsWyLyjc2wR0R2ichXRKQqIh+Zd0zXe7jFNt2V1dn+/uzZJJteISLfzNrjmyLyso5j1tROljWiqj33At4HvCN7/w7gvV3KDAGPZH8Hs/eD2b5rgP1Add4x/wP44+z964C/3kSbvp7ZJcAXgB/Ntt8C/NIK7HCBE8ARIAC+DVy5nOsErszKh8DFWT3ucurcbJuyfY8Bu1fx/VmLPUXgWuBngY/MO6brPdxim+4Crl7l72wtNj0HOJC9/35gZD3ayb7W/urJnjpwE/CJ7P0ngP/UpcwNwB2qOqaq48AdwI0AqvqvqnpqiXo/A/zICnoRq7ZJRPYD5cwuBf5igeOXw/OB46r6iKq2gE9lti1ka+d13gR8SlWbqvoocDyrbzl1brZNa2HV9qhqTVW/BsyRs1qHe7juNq0Da7HpPlV9Ktt+FMhnvfr1/K5bVkGvOvW9HU75NLC3S5luKQUOLlHvzDGqGgOTwK5NsOlg9n4hW98mIt8RkY8tFNZZxjm6lpl3nYvZt9K23GibwMhH///s8f6tLJ+12LNYnYvdw62wqc3Hs9DLr68w1LFeNv0EcK+qNll7O1nWyJZNaRSRLwP7uux6Z+cHVVWRtgb8jrTpj4DfxDiw3wR+H3jLOtW93blWVUeyOPEdIvJdVf3HrTaqx/jJrI36gM8Cb8D0jjcFEfk+4L3A9Zt1TsvibJlTV9WXL7RPRM6IyH5VPZU9zp3tUmwEeEnH5wsw8cXFaKchOCkiHtAPjG6CTSPZ+87tI9k5z3Sc40+BpZSQl0ylwMLXudixS9W56TapavvvWRH5HCZcsBynvhZ7Fquz6z1cJhthU2cbTYnIrZg2Wq5TX5NNInIB8Dngjap6oqP8WtrJskZ6NfxyG9CeOfIm4G+7lPkScL2IDGYhi+uzbcut92bgzizut6E2ZWGbiohckz0ev7F9fPYPos2Ps3SCsuWkUljoOm8DXpfFPi8GLsUMaq01PcO62yQixaz3iYgUMW253ORta7GnK4vdw62ySUQ8EdmdvfeBV7OyBHertklEBoC/x0we+Kd24XVoJ8ta2eqR2m4vTMzuH4BjwJeBoWz71Rg1pHa5t2AG1o4Db+7Y/j5MLC/N/t6Sbc8Bn87Kfx04sok2XY35wZ0APsLswq9PAvcD38H8gPYvw5ZXYsRETgDvzLa9G3jNUteJCSWdAB6iY1ZCtzpXeM/W1SbMjIxvZ6+jK7VpjfY8BowB1ez7c+Vi93CrbMLMivlm9t05SqYYthk2Af8LqAHf6njtWY92sq+1veyKUovFYtlB9Gr4xWKxWCyrwDp1i8Vi2UFYp26xWCw7COvULRaLZQdhnbrFYrHsIKxTt2wKWabBdibB0zKbmbIqIn+4Qef8BRF54yL7Xy0i796Ic1ssW4Wd0mjZdETkFkwGzd/bwHN4wL3Ac9XkLOlWRrIyL1bV6Y2yxWLZTGxP3bKliMhLROTvsve3iMgnROSrIvK4iPxnEXlflpv7i9mqyXa+7ruzRF9fmrcqt83LMEmm4uyYnxORB7LEaZ8Ck8MHk8bh1ZtysRbLJmCduqXXuATjkF8D/CXwFVW9CqgDr8oc+4eBm1X1ecDHgN/qUs+LMast27wDeI6qPguTl7zNN4AfWversFi2iJ4TnrY87fmCqkYicj9GxOGL2fb7gcPA5RhRhjuyLLMu0C13/n7gwY7P3wH+j4h8Hvh8x/azwIH1vACLZSuxTt3SazQBVDUVkUhnB31SzPdVgKOq+sIl6qlj8pa0eRXww8CPAe8Ukauy0EwuK2ux7Ahs+MWy3XgIGBaRF4LJTpjl9J7Pg8AzsjIOcEhVvwL8KiZ9bCkrdxkry2xosfQ01qlbthVqZNduBt4rIt/GZAd8UZeiX8D0zMGEaP4yC+ncB3xIVSeyfS/FpJC1WHYEdkqjZceSCWv8iqoeW2D/XuBWVf2RzbXMYtk4rFO37FhE5HKMtmxXtSQR+UEgUtVvba5lFsvGYZ26xWKx7CBsTN1isVh2ENapWywWyw7COnWLxWLZQVinbrFYLDsI69QtFotlB2GdusVisewg/gNGKrAxZeK1pQAAAABJRU5ErkJggg==\n", 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1015,10 +1354,19 @@ }, { "cell_type": "markdown", + "id": "a16e342b", "metadata": { + "papermill": { + "duration": 0.066961, + "end_time": "2022-12-13T22:52:10.102710", + "exception": false, + "start_time": "2022-12-13T22:52:10.035749", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "In this plot, we can see that a number of units increase their firing rate during the stimulus window, firing a burst of around three spikes. This is typical for Parvalbumin-positive neurons, which fire at high rates under natural conditions.\n", @@ -1028,10 +1376,19 @@ }, { "cell_type": "markdown", + "id": "ce33fba1", "metadata": { + "papermill": { + "duration": 0.067385, + "end_time": "2022-12-13T22:52:10.237879", + "exception": false, + "start_time": "2022-12-13T22:52:10.170494", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Identifying Cre+ units" @@ -1039,10 +1396,19 @@ }, { "cell_type": "markdown", + "id": "7aad66fd", "metadata": { + "papermill": { + "duration": 0.066584, + "end_time": "2022-12-13T22:52:10.371462", + "exception": false, + "start_time": "2022-12-13T22:52:10.304878", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Now that we know how to align spikes, we can start assessing which units are reliably driven by the optotagging stimulus and are likely to be Cre+.\n", @@ -1059,11 +1425,26 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, + "id": "941ddd2c", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:10.508914Z", + "iopub.status.busy": "2022-12-13T22:52:10.508075Z", + "iopub.status.idle": "2022-12-13T22:52:10.521543Z", + "shell.execute_reply": "2022-12-13T22:52:10.520860Z" + }, + "papermill": { + "duration": 0.084539, + "end_time": "2022-12-13T22:52:10.523344", + "exception": false, + "start_time": "2022-12-13T22:52:10.438805", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -1078,10 +1459,19 @@ }, { "cell_type": "markdown", + "id": "bcbf215a", "metadata": { + "papermill": { + "duration": 0.067224, + "end_time": "2022-12-13T22:52:10.658797", + "exception": false, + "start_time": "2022-12-13T22:52:10.591573", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Comparing the baseline and evoked rates, we can see a clear subset of units with a light-evoked increase in firing rate:" @@ -1089,23 +1479,36 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, + "id": "0e2740e2", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:10.795906Z", + "iopub.status.busy": "2022-12-13T22:52:10.795074Z", + "iopub.status.idle": "2022-12-13T22:52:10.907889Z", + "shell.execute_reply": "2022-12-13T22:52:10.907080Z" + }, + "papermill": { + "duration": 0.184179, + "end_time": "2022-12-13T22:52:10.910477", + "exception": false, + "start_time": "2022-12-13T22:52:10.726298", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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VxCJKTCRW6woIgTp1YPx4mwzggddff50bb7yR1157zetQTAViIrFaV0CQ/f3vsGiR11HErGHDhrF06VKGDx/udSimAjGRWK89tw3LJg60EQHBUFwMzz0H//6315HElMOHD3P77beTlZUFwIUXXuhtQKZSNqXVVE98PKxYAQcOeB1JTPnmm2+YO3cuvXr1ol27dl6HY6pgidUEbv9+56JVQgI0bux1NDGhdPXUTp06sWnTpiOrqprIFhNdASZI7r4bevRwiq2YkDt48CCXXHIJzz33HIAl1ShiLVYTuCFDoEMHSEz0OpKYkJCQQHJyMsnJyV6HYqopJqa0GhNN9u3bR2JiIvXq1UNVbYyqB2xKaxVsTawg2LQJpkyB/HyvI/G94uJiBg8ezKhRoyypRjHfJ1abHBAEr7wCEyc6F69MSMXHx3Pbbbdx2223WVKNYr5PrDY5IAjuvdcpD3jSSV5H4ls5OTmsXLkScOb/Dx061OOITG1Uq49VROoD+apaHLqQAmd9rGGQl2dLWYfB0KFD+fzzz/n666/tYlUECGkfq4jEici1IvK6iOQAG4BsEVkvIo+JSFQ3A63/tQqffw6tW8OHH3odie9NmzaNefPmWVL1iaq6ApYCpwITgRaqerKqngT0AzKAR0Xk/4U4xpCx/tcq1KsHgwZBt25eR+JL33zzDY899hiqyimnnEK/fv28DskESVWJ9SJVfVBV16hqSelGVd2jqq+q6khgXmhDDB3rf61C584wdy40auR1JL40Y8YMHnnkEbZv3+51KCbIAupjFZHngamqurrMtkmqOimEsVUp2H2stoRLGc88AyNGQLNmXkfiWyUlJWzdutXm/kegcI1jvQR4UUSuK7NtWE0PGqmsa8C1aROMGwcvveR1JL6zfv16Bg0axK5du4iLi7Ok6lOBJtYc4HzgShGZJiIJgO8G2VnXgKtTJ2d41W23eR2J7+Tk5LBlyxb27NnjdSgmhALtClilqj3dx5OAi4CWqto+tOFVzoZbhUBxsVMa0ATVgQMHjixLXVhYSKLVW4ho4eoKOFIu3u1XfRT4pqYHNRFKFfr3h/vv9zoSX1m9ejXt27fnzTffBLCkGgMCSqyq+qdjnr+mqgMqe4+IzBCRHBFZV2bbJBHZLiKr3dulZX42UUQyRWSjiFxS3RMxQVBQ4KxhdcopXkfiK+3atWPAgAG2kmoMqbQrQERyKX+BUwFUVRtW8t7zgQPALFXt6m6bBBxQ1cePeW0X4F/AOUBL4F2gU1UzvKwrwESyNWvW0KVLFxISrDpntAlpV4CqNlDVhm4C/br0cen2Kt77ARBoD/1wYK6qFqhqFpCJk2RNuGRkwFdfeR2Fb3z33XekpaXxpz/9qeoXG9+pzp/SYBVuHe8O21oB/FpV9wKtcGZyldrmbjPhctddsG+fMxrAqirV2sknn8zUqVMZNsx3oxJNAMJd3eofOFNkewDZwBPV3YGI3CwiK0Rkxa5du4IdX+xatAhmz7akWkuLFy9m06ZNANx00000swkWManSFquIjCjztPExz1HVBdU5mKruLLPvZ4HF7tPtwMllXtra3VbePqYD08HpY63O8U05VJ1k2rSpczM1lpeXx6233so555zDggXV+q9hfKaqroCyRSHfP+a5AtX67RGRVFXNdp9eAZSOGFgEzBGRv+JcvOoIfFqdfZsaevFFmD8fXn7ZVl6tpbp16/Luu+/SsmVLr0MxHqs0sarqjTXdsYj8C7gQaCoi24A/AReKSA+cpPwNcIt7nC9F5BVgPVAE3B4pNV99r7jYWXXVCq3U2Isvvkhubi7jx4+nc+fOXodjIkBVw63+HzCnbGWrY35+KpCqqh+FKL5K2XCrICntDjDVpqpceeWV7N+/nzfffJN4m7XmC7UdblVVV8CJwCoRWQmsBHYByUAH4ALgB+Cemh7ceCg/Hz75xJlpZUm1RoqKikhISGDOnDmUlJRYUjVHVDWO9W/AWTiD95sBA93n24ExqjpSVTeHPEoTfLNmwcCB8NlnXkcSlZ566ikuuugiDh06RFJSklX+N0epchyr29f5jnszfnH99XDCCXD22V5HEpVSU1Np0aKFzfs35arWYoKRxvpYTbh9++23nOLWUlBVW6Lap8JV3cr4RW6u0wXw8cdeRxJ1pkyZwhlnnMHGjRsBLKmaCll1iFizdSts2wb2FbbaRo0axe7du+nYsaPXoZgIF1CLVUSai8jzIvKm+7yLiNwU2tBMSHTt6hRbOcdq3ARCVVmwYAGqSsuWLbn//vuJi7MveqZygf6GzATewpkVBbAJuDMUAZkQWrUKiorAEkPAFixYwMiRI1m8eHHVLzbGFej/sKaq+gpQAqCqRYDNjIome/fCBRfAnfb3sDpGjBjBwoULGTJkiNehmCgSaGI9KCIn4pYOFJE0YF/IojLB17ixU71q/HivI4l4RUVFTJw4kezsbESEYcOG2YUqUy2BXry6C6dQyqki8jHOZIErQxaVCT4RsNqgAdm0aRNTp06lbdu23HLLLV6HY6JQoIn1S5wprKfhLMuyERuqFT0eegiaNIFx47yOJKKVjkvt0qULGzZsoHXr1l6HZKJUoMlxmaoWqeqXqrpOVQuBZaEMzEtzlm8lbfIS5izf6nUotafqjFm1iRSVys/P54orrmD+/PkAllRNrVRV6LoFzhIpdUWkJ05rFaAhUC/EsXlmSnomO/blMzU9k2vPbeN1OLUjAm+8AYcPex1JRCsuLmbPnj3s2RPoMm3GVKyqroBLgBtwKvr/tcz2XOD3IYrJcxMGdGBqeiZ3DOgQ1P3OWb6VKemZTBjQITwJe9cuSEpyaq3WqRP640WhgwcPkpiYSP369Vm6dKlVqDJBEVCtABEZqaqvhiGeaom2WgFpk5ewY18+qY2SWTZxYOgPOHas01rdsgWs+tJxioqKGDhwIC1atGDu3Ll25d8cEep6rACo6qsichlwBk491tLtD9T0wLEoVC3hCo0bB336WFKtQEJCAiNGjCA1NdWSqgmqQFus/8TpU+0PPAeMAj5VVU+ntUZbi9VEhj179pCTk2PLqJgKhau6VV9VvQ7Yq6r3A32ATjU9qAmx9evhN79xZluZ44wZM4ZLLrmEgoICr0MxPhVoYs137w+JSEugEEgNTUim1t57D557zlko0BzniSee4LnnnqOOXdAzIRJoYn1NRBoDjwGf46ywOidUQZlaGjcOvvkGmjb1OpKI8f333/Pcc88B0LlzZwYNGuRxRMbPqkysIhIHLFHVH92RAW2Azqr6x5BHZ6ovJ8e5b9zY2zgizJNPPsldd91Fdna216GYGFBlYnWXvp5W5nmBqloBlkj02WfQurUzxMocZfLkyWRkZJCaaj1YJvQC7QpYIiIjxcakRLbWreGOO+C887yOJCJkZmZy5ZVXsn//fhISEujSpYvXIZkYEWhivQWYDxSIyH4RyRWR/SGMy9REaio88QQ0aOB1JBFh48aNfPzxx2zbts3rUEyMCSixqmoDVY1T1SRVbeg+bxjq4Ew1PPggbNjgdRQRoXQY1WWXXUZmZqa1VE3YxUTpP19VqyrP1q3wl7/A2297HYnn1q5dS6dOnfjggw8AqFfPt7WCTASLiVVafVWtqjxt2kBWFqSkeB2J55o3b06XLl1o2bJl1S82JkRiosU6YUAHUhslh2+OfjgdOODcN20a0zUBMjMzKSkp4aSTTuLNN9+kQwcfftYmalSaWEWkSWW3cAVZW9ee24ZlEwf6r7WqCv37w223eR2Jp7755ht69uzJww8/7HUoxgBVdwWsxFlAUIBTgL3u48bAt0C7kEZnKldUBCNHQrvY/hjatGnDpEmTGD16tNehGAMEXt3qWeA/qvqG+/ynwOWq6ulKa1bdKralp6fTsWNHTj75ZK9DMT4TrupWaaVJFUBV3wT61vSgfhXW0QdLlsC77zrdATHo0KFDjB49mjvvvNPrUIw5TqCjAr4XkfuA2e7znwHfhyak6BXW0QePPgrbt8Patc66VjGmXr16vPHGG7SL8W4QE5kCbbGOBpoB/wEWuI+tQ+sYYR198NprsHAhxMXEwI4j5s+fz+zZzt/3Xr160aRJ1FxDNTEkoD7WIy8Wqa+qB0MYT7XEZB9rcbHTQo2xhAqgqgwePJiCggLS09OJi8F/AxMeYeljFZG+IrIe+Mp93l1Enq7pQU0tzJwJPXv+rzxgjFBVRIQFCxawePFiS6omogX62/kkzlLYuwFU9Qvg/FAFFS5ROdX1pJPgjDOgWTOvIwmb6dOnM3z4cA4fPkz9+vVJsRlmJsIF/GdfVb87ZlPUr/tR9mJT1Bg6FObMiakLVqpKSUkJJSUlXodiTEACTazfiUhfQEUkUUR+g9stEM2iaqprXh7MmuVMCogRu3btAuCWW25h0aJFJMfwlF0TXQJNrLcCtwOtgO1AD2BcqIIKl6ia6jp/Plx/PWRkeB1JWDz99NOcfvrpbNmyBcD6VE1UCXQc69mq+rOyG0TkVuCfwQ/JlGvMGGfqar9+XkcSFpdccgmbN2/mlFNO8ToUY6ot0GbAH0RkQOkTEfktMDw0IZnjqDp9qj5fckVVSU9PB+DUU0/lySefJCEhJipbGp8JNLEOAx4RkfNE5GEgDUusQBhGFuzbB127wuLFodl/BJk/fz4DBw7kzTff9DoUY2ol0KVZfsBJrtOAlsAoVT0cysCiRchHFuze7QyxioHVRUeOHMmsWbMYPHiw16EYUytV1WPNdRcP3A9kAp2AK4H9VS0mKCIzRCRHRNaV2dZERN4Rkc3u/QnudhGRKSKSKSJrROSs2p9aeIR8ZEH79rB0KfTqFZr9e6ykpITJkyezd+9e4uPjGTNmDLYYsIl2lSbW0kUDy9ySVTUlwMUEZwLHNj3uAZaoakdgifsc4KdAR/d2M/CP6p6IV0I6smDJEqcrwMfWrl3LpEmTmDt3rtehGBM0AV8ZEJFh/G+21XuqWmmnn6p+ICJtj9k8HLjQffwi8B7wO3f7LHUKF2SISGMRSVXV7EDj853cXLj8crjySpgxw+toQqZ79+6sWbOGTp06eR2KMUETaK2APwO/BNa7t1+KyOQaHK95mWS5A2juPm4FlJ3Ztc3dVqkNO3KjazpqdTRoAB98APfd53UkQVdYWMiYMWN4211V9rTTTrOv/8ZXAh0VcCkwSFVnqOoMnK/4l9XmwG7rtNpVmkXkZhFZISIr8nP3Rtd01Orq2dPpY/WZgwcPsm7dOr76Kuon7xlTruoMEmwM7HEfN6rh8XaWfsUXkVSgtETTdqDs+hqt3W3HUdXpwHSAlNanaVRMR62uu++G+Hh45BFf1QQoKCggISGBxo0bk5GRQZ06dbwOyZiQCLTFOhlYJSIzReRFnEUGa7Ik5iLgevfx9cDCMtuvc0cHpAH7Aulf7dyiQXRMR60OVfjxR+fmo6RaWFjI0KFDuc1dUdaSqvGzgFqsqvovEXkPONvd9DtV3VHZe0TkXzgXqpqKyDbgT8CfgVdE5CZgK3CV+/I3cLobMoFDwI3VOw0fEYHp0323llViYiJ9+/albdu2XodiTMgFukrra8AcYJGtIBBC27ZBYaGvlrPev38/e/fupU0bn32zML4WrlVaHwfOA9aLyL9FZJSIRFQNt6gsWn2sP/4RevSAAwe8jiRoRo8ezaBBgzh82CbqmdgRaFfA+8D7IhIPDAB+AcwAqpokEDZhXSE1VB54AIYMAR9VyH/ggQfYvn07SUlJXodiTNgEXORSROoCI3Fqs56NM8A/YkRV0eqKtG4NI0Z4HUWt7dq1i/nz5wPOSqrDhg3zOCJjwivQCQKv4KwYMAD4O3Cqqt4RysCqK6qKVh9r7Vq46irYXu4Is6jz4IMPcuONN7Jz506vQzHGE4GOY30eGK2qUb/OVURavx6WLYO6db2OJCj+8pe/cN1119G8efOqX2yMD1VV3epuAFV9CxhxzM8eCWFcseXqq2HLFmjSxOtIauzbb79l7Nix5OXlkZycTO/eNb6gakzUq6or4Joyjyce8zMrmhkMpdM6ExO9jaOWMjIyWLBgAZmZPp5ibEyAqkqsUsHj8p6b6lq2DLp0gXnzvI6kxoqLnd6hq666iq+//pozzzzT4+wWql8AABhzSURBVIiM8V5ViVUreFzec1Nd3brB44/DZbWqZ+OZDRs2cOaZZ1I6SeOEE07wOCJjIkNVF6+6uysFCFC3zKoBAkTUBIGoVL8+/PrXXkdRY/Xq1aNx48bU9clFN2OCpaoVBOLdlQMaqGpCmZUEGqhqdHcKekkV7rjDqbcahb7//ntUlVNOOYWPP/6YM844w+uQjIkoAU8QMEG0YwcsXAjr1lX92giTlZVF165d+etf/wpgBaqNKYct2u6F1FTYvDkqywK2adOGcePGMXLkSK9DMSZiWYs13LKzoaQE6tSBKJo/n5GRwa5du4iLi+Ohhx6y8n/GVML3iTWiql6VlMCll0KUtfYOHDjA0KFDGT9+vNehGBMVfN8VEHFVr+6+O+qqV6WkpPDvf/+bzp07ex2KMVHB9y3W6lS9CnnrNi4ORo+GoUNDs/8gW7x4Ma+99hoAF1xwgc39NyZAAa0gEKmCvYJA2uQl7NiXT2qjZJZNHBi0/QLw2muwaxdcf72zUGCEU1XOP/98VJUPP/zQrv6bmFLbFQR83xVQHRMGdGBqemZoarrOmeNUsbrhhuDvOwREhEWLFiEillSNqSZrsYaLKuTkQIR/nZ49ezbvvPMOM2bMID4KWtbGhEK41rwyNVVYCIcOOWNWIzypAmzbto1t27ZRUFDgdSjGRC1LrKH2/PPQvr2zAmsEy83NBeCee+7hrbfeol69eh5HZEz0ssQaaj16wDXXQKtWXkdSoenTp9OlSxe+++47ABISrOvdmNqw/0Ghlpbm3CJYnz59uPjii204lTFBYi3WUDl4ECZPhn37vI6kQqUX/s4880yef/55W6LamCCxxBoqb78Nv/99xFawmjt3LmeffTZLlizxOhRjfMe6AkLliitg0ybo2NHrSMo1YsQIpk6dyoUXXuh1KMb4jrVYQ6F0qFKEJVVVZdq0aRw8eJCkpCTGjx9vY1WNCQFLrMG2dy+0awezZnkdyXFWrlzJhAkTmBWBsRnjJ75NrLUpqFKrYiyHD8OgQc5CgRGmd+/efPrpp9x6661eh2KMr/k2sZYtFxjO99K8Obz4ojN+NQIUFxdz++2388knnwDQq1cvm/tvTIj5NrFWp1xg0N77739DVla1jxdKe/fu5Z133uGjjz7yOhRjYoYVYQmWvDxo3RqGDHFarB4rKioiPj4eESE3N5cGDRp4HZIxUcPKBkaKunXhiy+8jgKAwsJCRo0aRceOHXn88cctqRoTZr7tCigr5CsDlJQ4961bOzePJSQk0KZNG9q1a+d1KMbEpJhosYZ83avx42H/fnjpJU+XtD506BC5ubk0b96cKVOmeBaHMbEu6lusgbRGa3MhKyCpqU71Ko+vtl999dVcdNFFFBYWehqHMbEu6i9eJYx8NHTrVEWZ999/n+zsbK655hqvQzEmqsX8CgIhb41WZssWWLYs/MctY+/evbz11luAs5KqJVVjvBf1LdaKhlvNWb6VKemZTHATbunjoPax3nILzJ4N27dD48bB22813Hbbbbz00ktkZWXRrFkzT2Iwxm9q22L1bWItu5S1Qmi6Cw4cgBUrwMMKUbm5uaxatYrzzz/fsxiM8ZuY7wqoSNkugpB1F6SkeJJUs7Oz+c1vfkNhYSENGjSwpGpMhPFtizWkVq2C22+HmTOhU6ewH37mzJmMHz+eZcuWceaZZ4b9+Mb4nbVYAxD0CQI5Oc7SKyedFJz9Baj0j+ANN9zA5s2bLakaE6FiIrHWqlpVeS65BFavDusFqy1bttCnTx82bNgAQGpqatiObYypnphIrGntmhAncG67JrXfWXq6M4U1zJMBCgsLyc3N5dChQ2E9rjGm+jxJrCLyjYisFZHVIrLC3dZERN4Rkc3u/QnBOl5G1h5KFJZn7anljjJg4ECYMSM4gQVgzx4n5tNOO401a9Zw1llnhe3Yxpia8bLF2l9Ve5TpIL4HWKKqHYEl7vOgCNqogLPPhrlz4dprgxNYFbKysjj99NN55plnAGx9KmOiRCR1BQwHSguZvghcHoydlk4UuCMYkwPi4+Hqq6FevWCEVqXWrVszatQo+vfvH5bjGWOCw6vEqsDbIrJSRG52tzVX1Wz38Q6geXlvFJGbRWSFiKzYtWtXlQcKyoUrVbjmGmeFgDD44osv2L9/P4mJiUybNo1OHgzpMsbUnFeJtZ+qngX8FLhdRI4a4a7OuKJyB9iq6nRV7a2qvQOZwhmUboA9e5y6AHtq2UcbgP379zNw4EDGjRsX8mMZY0LDk3qsqrrdvc8Rkf8A5wA7RSRVVbNFJBXICcaxrj23Te27AE48EZYv/19B6xBq2LAhM2fOpEeELEZojKm+sLdYRaS+iDQofQxcDKwDFgHXuy+7HlgY7tjKtWkTHDrkDK8K4cWjJUuW8P777wMwZMgQWkfASgTGmJrxosXaHPiPuwRzAjBHVf8rIp8Br4jITcBW4CoPYjuaKowaBU2awHvvhewwJSUl/O53vyMpKYmPP/7Ylqc2JsqFPbGq6hageznbdwORValaBJ5+Gg4frtHby5YurKw7Ii4ujsWLF5OQkGBJ1RgfiKThVpGpXz8YMKBGb61qRMKrr77Kr371K1SVFi1a0LRp09pEaoyJEL5JrEEvtDJvHkyaVOPWKlQ9IuGzzz7j008/JS8vr8bHMMZEHt+UDSxb2Dooxax/9Sv48EP47LOg1wUoKCigTp06qCr5+fnUrVs3qPs3xtSOlQ10VdQ6rHFL9sknncQa5KT64osv0q1bN3bs2IGIWFI1xoc8GccaChWNVy3bzxnQeNaCAmciQGoqhCDpnXbaaXTv3p1GjRoFfd/GmMjgmxZrRao98+rZZ+HUU+Hrr4MaR2kd1bS0NF555RVrqRrjY75psVaktJU6JT2TT7P2kJG1p/LhTz/9KezfD+3bBy2GefPmce2117J06VJbn8qYGOCbi1eVKb2wFSdQogR/tdYqHDx4kKeeeoq7776bxMTEsB3XGFMzdvEqAKUrCHRr1ajiboEDB2D8ePj226AcU1WZPXs2hw8fpn79+tx7772WVI2JETGRWEtXENiZW8CyiQPL7wbIyIDnn4fs7ON/VgOffvopY8aMYUYYVxswxkQG3/exgtNiXfTF95WveXXRRbBtm1PJKgjOPfdc61M1JkbFVIu1wjWvdu927muZVEuLqaxZswaACy+8kLi4mPgnNsaUERP/6ysdcrV7tzO86skna32cnJwcXn75ZRYtWlTrfRljopdvuwKOrSxV4fCqxES44w4YNKjGxyopKSEuLo4WLVqwevVqTgxSd4IxJjr5tsUa8FpXDRvCgw9C1641Ok5hYSHXXnstjzzyCABNmza10n/GxDjfJtayX/8rrBfw3HOwbFmtjhMXF0diYqINpTLGHBFTEwSOmhhw+DB07OjUWn3hhWofu6CggLy8PBo3boyqWivVGB+p7QQB3/axlpqzfCuHCopomJxw9MWrpCT48kuoQS1UVeXqq68mOzubjz/+mIQE3/8zGmOqwfcZYUp6Jvvzi0htlPy/C1h5eZCcDCkpzq2aRISxY8eSk5NjSdUYcxzfZoXSUQFp7ZqwPGvP0a3VCRNg82ZIT4dqjDPNzc1l7dq19O3blyFDhoQgamOMH/g2sZaOClietef4git9+kDbttVKqgB33XUX8+bNIysry4ZUGWMq5NvEOmFAB6amZ5Y/KeDnP6/RPidPnszIkSMtqRpjKuXb4VYAx4132LgRXnkFSkoC3scPP/zAww8/TElJCU2bNmXw4MFBjdEY4z++TazlThCYPh1uuslZeiVA8+bN46GHHmL9+vUhiNIY40e+TaylNVjPbdfkyASBf428HT75BJo2DXg/48aNY+3atXSt4cwsY0zs8W1iLVvRakp6Jjl7DzLl/Sw488wq37tt2zYuvvhivv32W0SEDh0CXC/LGGPwcWItO6V1UuohPnruFv7YKj+g9+bk5LBx40ayg1T02hgTW3w7KuCoilayE87uRsvLz6v0PQcPHqR+/fqcddZZbN68maSkpDBEaozxG9+2WEvNWb6VtCW5zHlgulPJqgJZWVmcfvrpzJ49G+BIUq2wgIsxxlTA94l1w1+f4ccffqyyfGBqairnnXce3bt3P2p7wOUHjTHG5e/EumoVD7wymbGb3z9qokDZVujGjRvJy8sjOTmZl19+mTOPubhV6eoDxhhTjqguG5jS+jQd+/hcMrL2kNauCRlZe46sGHDERx9B795O0RVXt0lvsT+/iPoUkPP8LQwdOtRWUzXGHBHTZQMLi0tY9MX3lChH7qemZzqJVRVEoF+/Ct+fkFyfv/3tb6SlpYUxamOM30V1V0BifBzDurcktVEy3Vo1OjIhAFV2nHMejw2fwJzlW+lx/1u0ved1etz/FgBXtDxAgwPf0r/zSUzZ2pyMXfFA5Req7CKWMSZQUZ1YO7dowFPX9GTZxIHsyC343xLXubl8lSfkFMYxNT2TH/OKAPgxr4iSkhL+8/f7SVk5i2Vbdh91YaqyC1V2EcsYE6ioTqwbduQeaUGWTmFt3qAOadM+Y+F9U/jovKHcMaADjes6PR51E4S+jy7lpvufZsGCBfxyYMejLkyVd6GqtKWa1q4JqY2SObddE2u5GmMqFdUXr+qkdtSzJvyTZRMHHlnX6sydmeyo34SEVi2PqsP65ptv8osn5pHQ+8qj176qwrHrZZW7fpYxxldi+uJVYnzcUa3NqUs2889/TWNfsTD98bmkTV7CBPfnv7r/HxR8v5HGPYbRvEGjI63QsiMKWjSow5rt++jWqhE7cguYMKADae2asOiL752+W46v81q6UsFxoxGMMTErqlus5a7S+vXX8MMPpKUfYMe+fFo0SIS4eLJ/PIQU5kNSPeIESpTj7o+V2igZhUpbqNaCNcZ/atti9U0f651zV9F+4uv0mJ1J2//8QP7hIg599T4bnrmD7Tt2IRKHJNUDoGFyAnHyv5OvEy+kNkqmR2tnZEGP1o1omJzAwYKiI32rFU0QsAkExphjRXVXQGFxyZFxqwmzX+LRrWv546BbISmZH/OKkOQGHE5IQeKd0yxtlJaOEihdRyCvSPnqmNZmaUu03DWzyjiq2IsxxhDliRUgXpwkeE3BPk7Zt4O8xDoU7d9FQsNm1G13FintelKMAJAgUKTO6IC8IkVwkm3pqIFSc5Zv5ceDBQgc6Vs1xphARXVXAMC2H/PZsS+fp3qN4JrRj3Bww0dsn34zBds3ABxJqgAS5zzOK3LarqUt2PzC4qP2OSU9k/wiRXHHxQbIJhEYY8AHibVOYQGdc7IAUImjbrueNOo9jKTmpx732sJiJ5UmiHPBqlRB0dFXriYM6EDD5AQaJSdUq+/UJhEYY8AHifXaL/7Lf1+4g5NXvoaWFBOXnEKT/jciCYnHvTbBTaZdWzViy+TL6NG6EQDd3fvSFifAmkmX8MWkSwLuP52zfCuHCoqqnYyNMf4TcYlVRAaLyEYRyRSRe6p6/atdB3LXuSP56N1nOLDmHaD8oVPg9K8CrNm+D4AduQUA7HTva9PinJKeyf78IurVSbCLWcbEuIhKrCISD0wDfgp0AUaLSJfK3rM/OYUFF95IsxH3kdJtUOX7d+/rxMtR01SbN6hD+4mv06JBnRpPW7VhV8aYUhE1QUBE+gCTVPUS9/lEAFWdXN7rOyTU0TZXTOTrU8+u0fFKB/W3n/j6kYkCWyZfZoP+jYlxfpsg0Ar4rszzbe62ctUvPkzR5oyAd17ax1o3Qf5XYhAY1r0lceLcg7U+jTG1E2kt1lHAYFUd6z4fA5yrquPLvOZm4GYA4hN6JTVrW/0DKSCgxcWFhbuy1tQ+8pBpCvzgdRAhZOcXvfx8bgCnqWqDmr450iYIbAdOLvO8tbvtCFWdDkwHEJEVBdmba9xcj3QisqI2X0cinZ1f9PLzuYFzfrV5f6R1BXwGdBSRdiKSBFwDLPI4JmOMqZaIarGqapGIjAfeAuKBGar6pcdhGWNMtURUYgVQ1TeANwJ8+fRQxhIB7Pyim5/Pz8/nBrU8v4i6eGWMMX4QaX2sxhgT9aI2sVZ36ms0EJFvRGStiKwuvSopIk1E5B0R2ezen+B1nIEQkRkikiMi68psK/dcxDHF/SzXiMhZ3kUemArOb5KIbHc/v9UicmmZn010z2+jiFziTdSBE5GTRWSpiKwXkS9F5Jfu9qj/DCs5t+B9fqoadTecC1tfA+2BJOALoIvXcQXhvL4Bmh6z7S/APe7je4BHvY4zwHM5HzgLWFfVuQCXAm/izDpOA5Z7HX8Nz28S8JtyXtvF/R2tA7Rzf3fjvT6HKs4vFTjLfdwA2OSeR9R/hpWcW9A+v2htsZ4DZKrqFlU9DMwFhnscU6gMB150H78IXO5hLAFT1Q+AY4vZVnQuw4FZ6sgAGotIangirZkKzq8iw4G5qlqgqllAJs7vcMRS1WxV/dx9nAt8hTMLMuo/w0rOrSLV/vyiNbFWa+prFFHgbRFZ6c4wA2iuqtnu4x1Ac29CC4qKzsVPn+d496vwjDLdNlF9fiLSFugJLMdnn+Ex5wZB+vyiNbH6VT9VPQunutftInJ+2R+q873EF8M4/HQuZfwDOBXoAWQDT3gbTu2JSArwKnCnqu4v+7No/wzLObegfX7RmlirnPoajVR1u3ufA/wH5+vGztKvVO59jncR1lpF5+KLz1NVd6pqsaqWAM/yv6+LUXl+IpKIk3heVtUF7mZffIblnVswP79oTay+m/oqIvVFpEHpY+BiYB3OeV3vvux6YKE3EQZFReeyCLjOvbKcBuwr83UzahzTp3gFzucHzvldIyJ1RKQd0BH4NNzxVYeICPA88JWq/rXMj6L+M6zo3IL6+Xl9ha4WV/Yuxbma9zVwr9fxBOF82uNcefwC+LL0nIATgSXAZuBdoInXsQZ4Pv/C+TpViNMndVNF54JzJXma+1muBXp7HX8Nz+8lN/417n/G1DKvv9c9v43AT72OP4Dz64fzNX8NsNq9XeqHz7CScwva52czr4wxJsiitSvAGGMiliVWY4wJMkusxhgTZJZYjTEmyCyxGmNMkFliNcaYILPEampMRIrd8mpfiMjnItI3yPufKc7KvYjIcyLSJZj7r+LYjUVkXA3eJyKSLiIN3ecHjvn5DSLy90reP0REHqh+xCaSWGI1tZGnqj1UtTswEZgcqgOp6lhVXR/MfYpIZUsTNQaqnVhxBpp/ocfMq6+G14GhIlKvhu83EcASqwmWhsBecIpbiMgStxW7VkSGu9vri8jrbgt3nYhc7W7vJSLvu1W93iqv3JyIvCcivd3HB0TkYXc/GSLS3N3eTEReFZHP3NtPytnPDSKySETSgSUVxQr8GTjVbZE/5r73t+5+14jI/RX8O/yMAKcdlymovFpE8kTkAnVm7LwHDAlkHyZCeT29zG7RewOKcaYDbgD2Ab3c7QlAQ/dxU5z6lQKMBJ4t8/5GQCLwCdDM3XY1zuq8ADOBUe7j93CnSeJMRxzqPv4LcJ/7eA5OhTCAU3Dmgh8b8w04U1CbVBFrW44uYn0xzgJzgtMgWQycX87+twINyvk3Kr19C/z9mPcMBT4EEt3nPwOmev352q3mt4hbpdVElTxV7QEgIn2AWSLSFSf5POKWPSzBqV3ZHGce9hMi8iiwWFU/dF/fFXjHqY1BPM4c/MocxklsACuBQe7ji4Au7n4AGopIiqoeOOb976hqaZHqimI91sXubZX7PAWnGMcHx7yuiTrFk0sd+TcCp8UM9C7zvCPwGNBfVQvdzTlAy3JiMFHCEqsJClVdJiJNgWY4/YzNcFqwhSLyDZCsqpvEWQvpUuAhEVmCUx7xS1XtU43DFarbtMNpEZb+HscBaaqaX8X7D5Z5/LPyYi3nPQJMVtVnqth3kYjEqVN6rlJuPdBXgF/o0ZWgkoG8qt5vIpf1sZqgEJHOOK3N3Thf8XPcRNUfaOO+piVwSFVn47TSzsKpFtTMbfEiIokickYNw3gbuKNMTD0qeW2pcmMFcnHWQyr1FvBzNxkiIq1E5KRy9rcRp1JZIGYAL6jqh8ds78T/StaZKGQtVlMbdUVktftYgOtVtVhEXgZeE5G1wAqcPliAM4HHRKQEp9zebap62B1SNUVEGuH8Tj6FUzqxuiYA00RkjbufD4Bbq3hPubGq6m4R+VicVVjfVNXfisjpwDK3q+EA8P84vvD468CFOH21FRKRNsAooJOI/NzdPFZVVwD9cUZZmChlZQONCSJ3RMMsVR1U5YvLf39zYI6qDgxuZCacrCvAmCBy+0qfLZ0gUAOnAL8OYkjGA9ZiNcaYILMWqzHGBJklVmOMCTJLrMYYE2SWWI0xJsgssRpjTJD9fw5ikXbIsvvWAAAAAElFTkSuQmCC\n", + "image/png": 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1126,10 +1529,19 @@ }, { "cell_type": "markdown", + "id": "6b70c749", "metadata": { + "papermill": { + "duration": 0.068101, + "end_time": "2022-12-13T22:52:11.047805", + "exception": false, + "start_time": "2022-12-13T22:52:10.979704", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "We can select a threshold, such as 2x increase in firing rate (red line) to find the IDs for units that are robustly driven by the light:" @@ -1137,11 +1549,26 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, + "id": "44516ecb", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:11.187688Z", + "iopub.status.busy": "2022-12-13T22:52:11.187026Z", + "iopub.status.idle": "2022-12-13T22:52:11.194625Z", + "shell.execute_reply": "2022-12-13T22:52:11.194083Z" + }, + "papermill": { + "duration": 0.07977, + "end_time": "2022-12-13T22:52:11.196055", + "exception": false, + "start_time": "2022-12-13T22:52:11.116285", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -1159,7 +1586,7 @@ " 951141097, 951141154, 951141292, 951141373, 951141485, 951141536])" ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1172,10 +1599,19 @@ }, { "cell_type": "markdown", + "id": "79cc57c1", "metadata": { + "papermill": { + "duration": 0.067048, + "end_time": "2022-12-13T22:52:11.330401", + "exception": false, + "start_time": "2022-12-13T22:52:11.263353", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Because this is a Parvalbumin-Cre mouse, we expect the majority of light-driven units to be fast-spiking interneurons. We can check this by plotting the mean waveforms for the units we've identified." @@ -1183,23 +1619,36 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, + "id": "09081aba", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:11.467938Z", + "iopub.status.busy": "2022-12-13T22:52:11.467570Z", + "iopub.status.idle": "2022-12-13T22:52:19.704492Z", + "shell.execute_reply": "2022-12-13T22:52:19.703219Z" + }, + "papermill": { + "duration": 8.308339, + "end_time": "2022-12-13T22:52:19.706511", + "exception": false, + "start_time": "2022-12-13T22:52:11.398172", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1220,10 +1669,19 @@ }, { "cell_type": "markdown", + "id": "9471f1ed", "metadata": { + "papermill": { + "duration": 0.068639, + "end_time": "2022-12-13T22:52:19.845122", + "exception": false, + "start_time": "2022-12-13T22:52:19.776483", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Indeed, most of these units have stereotypical \"fast-spiking\" waveforms (with a peak earlier than 1 ms). The outliers are likely parvalbumin-positive pyramidal cells." @@ -1231,10 +1689,19 @@ }, { "cell_type": "markdown", + "id": "b5c4a5da", "metadata": { + "papermill": { + "duration": 0.068115, + "end_time": "2022-12-13T22:52:19.981971", + "exception": false, + "start_time": "2022-12-13T22:52:19.913856", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Differences across genotypes" @@ -1242,10 +1709,19 @@ }, { "cell_type": "markdown", + "id": "1fa07216", "metadata": { + "papermill": { + "duration": 0.069413, + "end_time": "2022-12-13T22:52:20.119786", + "exception": false, + "start_time": "2022-12-13T22:52:20.050373", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The example above is a \"best-case\" scenario. As you look across experiments, you will find that there is substantial variability in the fraction of light-driven neurons. Some of this can be accounted for by differences in light power. But much of the variability can be attributed to genotype: parvalbumin+ cells are the most abundant type of inhibitory cells in the cortex, with somastatin+ cells coming next, and VIP+ cells a distant third. There are also likely differences in our ability to record from different interneuron subtypes. For example, parvalbumin+ cells generally fire at the highest rates, which makes them easier to detect in extracellular electrophysiology experiments. The size of the cell's soma also plays a role in its recordability, and this likely varies across interneuron sub-classes.\n", @@ -1257,13 +1733,37 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, + "id": "13f434fb", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:52:20.259845Z", + "iopub.status.busy": "2022-12-13T22:52:20.259138Z", + "iopub.status.idle": "2022-12-13T22:55:39.555644Z", + "shell.execute_reply": "2022-12-13T22:55:39.554834Z" + }, + "papermill": { + "duration": 199.369579, + "end_time": "2022-12-13T22:55:39.558282", + "exception": false, + "start_time": "2022-12-13T22:52:20.188703", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:downloading a 2692.640MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026123725\n", + "Downloading: 100%|██████████| 2.82G/2.82G [03:15<00:00, 14.5MB/s]\n" + ] + } + ], "source": [ "sst_sessions = sessions[sessions.full_genotype.str.match('Sst')]\n", "\n", @@ -1272,11 +1772,26 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, + "id": "2b74315f", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:55:39.875614Z", + "iopub.status.busy": "2022-12-13T22:55:39.874663Z", + "iopub.status.idle": "2022-12-13T22:57:03.383375Z", + "shell.execute_reply": "2022-12-13T22:57:03.334832Z" + }, + "papermill": { + "duration": 83.813467, + "end_time": "2022-12-13T22:57:03.529168", + "exception": false, + "start_time": "2022-12-13T22:55:39.715701", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -1292,23 +1807,36 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, + "id": "22286e40", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:57:04.230314Z", + "iopub.status.busy": "2022-12-13T22:57:04.228362Z", + "iopub.status.idle": "2022-12-13T22:57:05.290210Z", + "shell.execute_reply": "2022-12-13T22:57:05.289086Z" + }, + "papermill": { + "duration": 1.306347, + "end_time": "2022-12-13T22:57:05.321038", + "exception": false, + "start_time": "2022-12-13T22:57:04.014691", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1318,10 +1846,19 @@ }, { "cell_type": "markdown", + "id": "2429ee3d", "metadata": { + "papermill": { + "duration": 0.159002, + "end_time": "2022-12-13T22:57:05.656852", + "exception": false, + "start_time": "2022-12-13T22:57:05.497850", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "In this Sst-Cre mouse, we see a smaller fraction of light-driven units than in the Pvalb-Cre mouse. The light-driven units tend to spike at a range of latencies following light onset, rather than displaying the rhythmic firing pattern of Parvalbumin+ cells. Again, note that the spikes that are precisely aligned to the light onset or offset are likely artifactual.\n", @@ -1331,11 +1868,26 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, + "id": "16920e90", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:57:06.959921Z", + "iopub.status.busy": "2022-12-13T22:57:06.959058Z", + "iopub.status.idle": "2022-12-13T22:57:07.075264Z", + "shell.execute_reply": "2022-12-13T22:57:07.074520Z" + }, + "papermill": { + "duration": 1.262899, + "end_time": "2022-12-13T22:57:07.077551", + "exception": false, + "start_time": "2022-12-13T22:57:05.814652", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -1350,23 +1902,36 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, + "id": "e1e5edd0", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:57:07.405841Z", + "iopub.status.busy": "2022-12-13T22:57:07.405093Z", + "iopub.status.idle": "2022-12-13T22:57:07.595549Z", + "shell.execute_reply": "2022-12-13T22:57:07.594703Z" + }, + "papermill": { + "duration": 0.357273, + "end_time": "2022-12-13T22:57:07.597691", + "exception": false, + "start_time": "2022-12-13T22:57:07.240418", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1387,10 +1952,19 @@ }, { "cell_type": "markdown", + "id": "e18b2e58", "metadata": { + "papermill": { + "duration": 0.157096, + "end_time": "2022-12-13T22:57:07.915784", + "exception": false, + "start_time": "2022-12-13T22:57:07.758688", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "There are a smaller fraction of light-driven units in this Sst-Cre mouse, but the effect of optogenetic stimulation is still obvious. Let's look at the waveforms for the units that increase their firing rate at least 2x above baseline:" @@ -1398,23 +1972,36 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, + "id": "31a5634f", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:57:08.233776Z", + "iopub.status.busy": "2022-12-13T22:57:08.233423Z", + "iopub.status.idle": "2022-12-13T22:57:44.761368Z", + "shell.execute_reply": "2022-12-13T22:57:44.751466Z" + }, + "papermill": { + "duration": 37.275059, + "end_time": "2022-12-13T22:57:45.348678", + "exception": false, + "start_time": "2022-12-13T22:57:08.073619", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1437,10 +2024,19 @@ }, { "cell_type": "markdown", + "id": "47c891bb", "metadata": { + "papermill": { + "duration": 0.162601, + "end_time": "2022-12-13T22:57:46.659207", + "exception": false, + "start_time": "2022-12-13T22:57:46.496606", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "As expected, we see a mix of fast-spiking and regular-spiking waveforms, in contrast to the primarily fast-spiking waveforms of the Parvalbumin+ units." @@ -1448,10 +2044,19 @@ }, { "cell_type": "markdown", + "id": "faa3be8f", "metadata": { + "papermill": { + "duration": 0.161386, + "end_time": "2022-12-13T22:57:46.979723", + "exception": false, + "start_time": "2022-12-13T22:57:46.818337", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Now, let's take a look at light-evoked activity in a VIP-Cre mouse:" @@ -1459,13 +2064,37 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 24, + "id": "3d14d5bb", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:57:47.310120Z", + "iopub.status.busy": "2022-12-13T22:57:47.309534Z", + "iopub.status.idle": "2022-12-13T23:00:18.442714Z", + "shell.execute_reply": "2022-12-13T23:00:18.441973Z" + }, + "papermill": { + "duration": 151.306477, + "end_time": "2022-12-13T23:00:18.444764", + "exception": false, + "start_time": "2022-12-13T22:57:47.138287", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:downloading a 1912.961MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026123519\n", + "Downloading: 100%|██████████| 2.01G/2.01G [02:27<00:00, 13.6MB/s]\n" + ] + } + ], "source": [ "vip_sessions = sessions[sessions.full_genotype.str.match('Vip')]\n", "\n", @@ -1474,11 +2103,26 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, + "id": "963ed3f6", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:00:18.900711Z", + "iopub.status.busy": "2022-12-13T23:00:18.900100Z", + "iopub.status.idle": "2022-12-13T23:01:01.610006Z", + "shell.execute_reply": "2022-12-13T23:01:01.607630Z" + }, + "papermill": { + "duration": 42.939102, + "end_time": "2022-12-13T23:01:01.613017", + "exception": false, + "start_time": "2022-12-13T23:00:18.673915", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -1494,23 +2138,36 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, + "id": "d5433961", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T23:01:02.118190Z", + "iopub.status.busy": "2022-12-13T23:01:02.117133Z", + "iopub.status.idle": "2022-12-13T23:01:02.458345Z", + "shell.execute_reply": "2022-12-13T23:01:02.457512Z" + }, + "papermill": { + "duration": 0.62467, + "end_time": "2022-12-13T23:01:02.465109", + "exception": false, + "start_time": "2022-12-13T23:01:01.840439", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { - "image/png": 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\n", 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If we can characterize the stereotypical firing patterns displayed by labeled VIP+ interneurons, we may be able to identify them in unlabeled recordings." @@ -1547,9 +2213,24 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.0" + "version": "3.8.15" + }, + "papermill": { + "default_parameters": {}, + "duration": 940.65138, + "end_time": "2022-12-13T23:01:05.528738", + "environment_variables": {}, + "exception": null, + "input_path": "doc_template/examples_root/examples/nb/ecephys_optotagging.ipynb", + "output_path": "/tmp/tmp3n79g5nf/scratch_nb.ipynb", + "parameters": { + "output_dir": "/tmp/tmp3n79g5nf", + "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" + }, + "start_time": "2022-12-13T22:45:24.877358", + "version": "2.4.0" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 5 } diff --git a/doc_template/examples_root/examples/nb/ecephys_quality_metrics.ipynb b/doc_template/examples_root/examples/nb/ecephys_quality_metrics.ipynb index 23ee65f7e..2ac5341fb 100644 --- a/doc_template/examples_root/examples/nb/ecephys_quality_metrics.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_quality_metrics.ipynb @@ -5,10 +5,10 @@ "id": "f56ac62f", "metadata": { "papermill": { - "duration": 0.015175, - "end_time": "2022-12-09T22:58:38.762641", + "duration": 0.011957, + "end_time": "2022-12-14T00:09:30.564081", "exception": false, - "start_time": "2022-12-09T22:58:38.747466", + "start_time": "2022-12-14T00:09:30.552124", "status": "completed" }, "tags": [] @@ -32,10 +32,10 @@ "id": "0c7f4cd5", "metadata": { "papermill": { - "duration": 0.010792, - "end_time": "2022-12-09T22:58:38.783759", + "duration": 0.008698, + "end_time": "2022-12-14T00:09:30.582239", "exception": false, - "start_time": "2022-12-09T22:58:38.772967", + "start_time": "2022-12-14T00:09:30.573541", "status": "completed" }, "tags": [] @@ -75,10 +75,10 @@ "id": "ce788b3d", "metadata": { "papermill": { - "duration": 0.010372, - "end_time": "2022-12-09T22:58:38.804684", + "duration": 0.008432, + "end_time": "2022-12-14T00:09:30.599458", "exception": false, - "start_time": "2022-12-09T22:58:38.794312", + "start_time": "2022-12-14T00:09:30.591026", "status": "completed" }, "tags": [] @@ -98,10 +98,10 @@ "id": "9da24570", "metadata": { "papermill": { - 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"/tmp/ipykernel_5301/2366193608.py:1: DeprecationWarning: Please use `gaussian_filter1d` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_6495/2366193608.py:1: DeprecationWarning: Please use `gaussian_filter1d` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter1d\n" ] } @@ -389,10 +389,10 @@ "id": "80579018", "metadata": { "papermill": { - "duration": 0.015388, - "end_time": "2022-12-09T23:01:41.469935", + "duration": 0.009053, + "end_time": "2022-12-14T00:13:39.768727", "exception": false, - "start_time": "2022-12-09T23:01:41.454547", + "start_time": "2022-12-14T00:13:39.759674", "status": "completed" }, "tags": [] @@ -406,10 +406,10 @@ "id": "baa0a978", "metadata": { "papermill": { - "duration": 0.010646, - "end_time": "2022-12-09T23:01:41.492039", + "duration": 0.008958, + "end_time": "2022-12-14T00:13:39.786597", "exception": false, - 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"iopub.execute_input": "2022-12-09T23:01:45.960420Z", - "iopub.status.busy": "2022-12-09T23:01:45.959715Z", - "iopub.status.idle": "2022-12-09T23:01:46.820213Z", - "shell.execute_reply": "2022-12-09T23:01:46.818968Z" + "iopub.execute_input": "2022-12-14T00:13:43.073372Z", + "iopub.status.busy": "2022-12-14T00:13:43.072633Z", + "iopub.status.idle": "2022-12-14T00:13:43.605226Z", + "shell.execute_reply": "2022-12-14T00:13:43.604362Z" }, "papermill": { - "duration": 0.884832, - "end_time": "2022-12-09T23:01:46.822569", + "duration": 0.552501, + "end_time": "2022-12-14T00:13:43.607172", "exception": false, - "start_time": "2022-12-09T23:01:45.937737", + "start_time": "2022-12-14T00:13:43.054671", "status": "completed" }, "tags": [] @@ -1835,17 +1835,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 189.963089, - "end_time": "2022-12-09T23:01:47.672119", + "duration": 254.517075, + "end_time": "2022-12-14T00:13:44.246389", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_quality_metrics.ipynb", - "output_path": "/tmp/tmpn0u_6pu6/scratch_nb.ipynb", + "output_path": "/tmp/tmphgktny40/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpn0u_6pu6", + "output_dir": "/tmp/tmphgktny40", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:58:37.709030", + "start_time": "2022-12-14T00:09:29.729314", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb index 6baa7ea55..e31ed8127 100644 --- a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb @@ -2,7 +2,17 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "id": "3ecf3437", + "metadata": { + "papermill": { + "duration": 0.005606, + "end_time": "2022-12-13T22:07:37.710843", + "exception": false, + "start_time": "2022-12-13T22:07:37.705237", + "status": "completed" + }, + "tags": [] + }, "source": [ "# Extracellular Electrophysiology Data Quick Start\n", "\n", @@ -17,8 +27,33 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, - "outputs": [], + "id": "8edbae18", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:07:37.721833Z", + "iopub.status.busy": "2022-12-13T22:07:37.721051Z", + "iopub.status.idle": "2022-12-13T22:07:45.355296Z", + "shell.execute_reply": "2022-12-13T22:07:45.354501Z" + }, + "papermill": { + "duration": 7.64225, + "end_time": "2022-12-13T22:07:45.357697", + "exception": false, + "start_time": "2022-12-13T22:07:37.715447", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import os\n", "\n", @@ -31,15 +66,39 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "51ee0b47", + "metadata": { + "papermill": { + "duration": 0.004627, + "end_time": "2022-12-13T22:07:45.367399", + "exception": false, + "start_time": "2022-12-13T22:07:45.362772", + "status": "completed" + }, + "tags": [] + }, "source": [ "The `EcephysProjectCache` is the main entry point to the Visual Coding Neuropixels dataset. It allows you to download data for individual recording sessions and view cross-session summary information." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, + "id": "9fdb40c0", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:07:45.378107Z", + "iopub.status.busy": "2022-12-13T22:07:45.377300Z", + "iopub.status.idle": "2022-12-13T22:07:45.381200Z", + "shell.execute_reply": "2022-12-13T22:07:45.380476Z" + }, + "papermill": { + "duration": 0.011336, + "end_time": "2022-12-13T22:07:45.383067", + "exception": false, + "start_time": "2022-12-13T22:07:45.371731", + "status": "completed" + }, "tags": [ "parameters" ] @@ -52,11 +111,34 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, + "id": "7b5bbb79", "metadata": { - "scrolled": false + "execution": { + "iopub.execute_input": "2022-12-13T22:07:45.407495Z", + "iopub.status.busy": "2022-12-13T22:07:45.407060Z", + "iopub.status.idle": "2022-12-13T22:11:41.638286Z", + "shell.execute_reply": "2022-12-13T22:11:41.637547Z" + }, + "papermill": { + "duration": 236.242307, + "end_time": "2022-12-13T22:11:41.644256", + "exception": false, + "start_time": "2022-12-13T22:07:45.401949", + "status": "completed" + }, + "scrolled": false, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['brain_observatory_1.1', 'functional_connectivity']\n" + ] + } + ], "source": [ "# this path determines where downloaded data will be stored\n", "manifest_path = os.path.join(output_dir, \"manifest.json\")\n", @@ -68,15 +150,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "536accb4", + "metadata": { + "papermill": { + "duration": 0.004504, + "end_time": "2022-12-13T22:11:41.653456", + "exception": false, + "start_time": "2022-12-13T22:11:41.648952", + "status": "completed" + }, + "tags": [] + }, "source": [ "This dataset contains sessions in which two sets of stimuli were presented. The `\"brain_observatory_1.1\"` sessions are (almost exactly) the same as Visual Coding 2P sessions." ] }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, + "execution_count": 5, + "id": "e64a177c", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:11:41.664247Z", + "iopub.status.busy": "2022-12-13T22:11:41.663779Z", + "iopub.status.idle": "2022-12-13T22:11:42.648942Z", + "shell.execute_reply": "2022-12-13T22:11:42.648084Z" + }, + "papermill": { + "duration": 0.992994, + "end_time": "2022-12-13T22:11:42.650861", + "exception": false, + "start_time": "2022-12-13T22:11:41.657867", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -228,7 +336,7 @@ "799864342 [APN, POL, LP, DG, CA1, VISrl, nan, LGd, CA3, ... " ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -241,23 +349,68 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "9894d4a6", + "metadata": { + "papermill": { + "duration": 0.00478, + "end_time": "2022-12-13T22:11:42.660897", + "exception": false, + "start_time": "2022-12-13T22:11:42.656117", + "status": "completed" + }, + "tags": [] + }, "source": [ "### peristimulus time histograms" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "11b29253", + "metadata": { + "papermill": { + "duration": 0.004665, + "end_time": "2022-12-13T22:11:42.670233", + "exception": false, + "start_time": "2022-12-13T22:11:42.665568", + "status": "completed" + }, + "tags": [] + }, "source": [ "We are going to pick a session arbitrarily and download its spike data." ] }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "id": "ead80e75", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:11:42.681440Z", + "iopub.status.busy": "2022-12-13T22:11:42.680740Z", + "iopub.status.idle": "2022-12-13T22:14:25.849485Z", + "shell.execute_reply": "2022-12-13T22:14:25.848706Z" + }, + "papermill": { + "duration": 163.17695, + "end_time": "2022-12-13T22:14:25.851913", + "exception": false, + "start_time": "2022-12-13T22:11:42.674963", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:downloading a 2210.106MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026124645\n", + "Downloading: 100%|██████████| 2.32G/2.32G [02:40<00:00, 14.4MB/s]\n" + ] + } + ], "source": [ "session_id = 791319847\n", "session = cache.get_session_data(session_id)" @@ -265,16 +418,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "9b74b3a4", + "metadata": { + "papermill": { + "duration": 0.06747, + "end_time": "2022-12-13T22:14:25.987529", + "exception": false, + "start_time": "2022-12-13T22:14:25.920059", + "status": "completed" + }, + "tags": [] + }, "source": [ "We can get a high-level summary of this session by acessing its `metadata` attribute:" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, + "id": "af684914", "metadata": { - "scrolled": false + "execution": { + "iopub.execute_input": "2022-12-13T22:14:26.124961Z", + "iopub.status.busy": "2022-12-13T22:14:26.124090Z", + "iopub.status.idle": "2022-12-13T22:14:49.845979Z", + "shell.execute_reply": "2022-12-13T22:14:49.845147Z" + }, + "papermill": { + "duration": 23.792156, + "end_time": "2022-12-13T22:14:49.847766", + "exception": false, + "start_time": "2022-12-13T22:14:26.055610", + "status": "completed" + }, + "scrolled": false, + "tags": [] }, "outputs": [ { @@ -323,7 +501,7 @@ " 'drifting_gratings_contrast']}" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -334,16 +512,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "be304e33", + "metadata": { + "papermill": { + "duration": 0.066274, + "end_time": "2022-12-13T22:14:49.982852", + "exception": false, + "start_time": "2022-12-13T22:14:49.916578", + "status": "completed" + }, + "tags": [] + }, "source": [ "We can also take a look at how many units were recorded in each brain structure:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, + "id": "d462da9c", "metadata": { - "scrolled": false + "execution": { + "iopub.execute_input": "2022-12-13T22:14:50.118975Z", + "iopub.status.busy": "2022-12-13T22:14:50.118167Z", + "iopub.status.idle": "2022-12-13T22:14:50.127979Z", + "shell.execute_reply": "2022-12-13T22:14:50.127443Z" + }, + "papermill": { + "duration": 0.079482, + "end_time": "2022-12-13T22:14:50.129402", + "exception": false, + "start_time": "2022-12-13T22:14:50.049920", + "status": "completed" + }, + "scrolled": false, + "tags": [] }, "outputs": [ { @@ -370,7 +573,7 @@ "Name: ecephys_structure_acronym, dtype: int64" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -381,26 +584,52 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "d40fa01c", + "metadata": { + "papermill": { + "duration": 0.066406, + "end_time": "2022-12-13T22:14:50.262999", + "exception": false, + "start_time": "2022-12-13T22:14:50.196593", + "status": "completed" + }, + "tags": [] + }, "source": [ "Now that we've gotten spike data, we can create peristimulus time histograms." ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 9, + "id": "d6e3d593", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:14:50.399065Z", + "iopub.status.busy": "2022-12-13T22:14:50.398403Z", + "iopub.status.idle": "2022-12-13T22:15:04.411336Z", + "shell.execute_reply": "2022-12-13T22:15:04.410631Z" + }, + "papermill": { + "duration": 14.083278, + "end_time": "2022-12-13T22:15:04.413148", + "exception": false, + "start_time": "2022-12-13T22:14:50.329870", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { "text/plain": [ "Coordinates:\n", - " * stimulus_presentation_id (stimulus_presentation_id) int64 3647 ... 3796\n", - " * time_relative_to_stimulus_onset (time_relative_to_stimulus_onset) float64 -0.095 ... 0.495\n", + " * stimulus_presentation_id (stimulus_presentation_id) int64 3647 .....\n", + " * time_relative_to_stimulus_onset (time_relative_to_stimulus_onset) float64 ...\n", " * unit_id (unit_id) int64 951061537 ... 951062679" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -423,19 +652,33 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, + "execution_count": 10, + "id": "89fa58ee", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:04.549391Z", + "iopub.status.busy": "2022-12-13T22:15:04.548772Z", + "iopub.status.idle": "2022-12-13T22:15:04.713871Z", + "shell.execute_reply": "2022-12-13T22:15:04.713174Z" + }, + "papermill": { + "duration": 0.238126, + "end_time": "2022-12-13T22:15:04.718816", + "exception": false, + "start_time": "2022-12-13T22:15:04.480690", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { - "image/png": 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\n", 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    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -460,22 +703,58 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "d8dbf699", + "metadata": { + "papermill": { + "duration": 0.067756, + "end_time": "2022-12-13T22:15:04.855032", + "exception": false, + "start_time": "2022-12-13T22:15:04.787276", + "status": "completed" + }, + "tags": [] + }, "source": [ "### image classification" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "ea74b401", + "metadata": { + "papermill": { + "duration": 0.067646, + "end_time": "2022-12-13T22:15:04.990578", + "exception": false, + "start_time": "2022-12-13T22:15:04.922932", + "status": "completed" + }, + "tags": [] + }, "source": [ "First, we need to extract spikes. We will do using `EcephysSession.presentationwise_spike_times`, which returns spikes annotated by the unit that emitted them and the stimulus presentation during which they were emitted." ] }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, + "execution_count": 11, + "id": "964a462c", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:05.128093Z", + "iopub.status.busy": "2022-12-13T22:15:05.127298Z", + "iopub.status.idle": "2022-12-13T22:15:08.494213Z", + "shell.execute_reply": "2022-12-13T22:15:08.493156Z" + }, + "papermill": { + "duration": 3.437279, + "end_time": "2022-12-13T22:15:08.496087", + "exception": false, + "start_time": "2022-12-13T22:15:05.058808", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -613,7 +892,7 @@ "[1224681 rows x 3 columns]" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -632,15 +911,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "a832b1ff", + "metadata": { + "papermill": { + "duration": 0.075771, + "end_time": "2022-12-13T22:15:08.652151", + "exception": false, + "start_time": "2022-12-13T22:15:08.576380", + "status": "completed" + }, + "tags": [] + }, "source": [ "Next, we will convert these into a num_presentations X num_units matrix, which will serve as our input data." ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 12, + "id": "0a563720", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:08.803102Z", + "iopub.status.busy": "2022-12-13T22:15:08.802410Z", + "iopub.status.idle": "2022-12-13T22:15:09.089842Z", + "shell.execute_reply": "2022-12-13T22:15:09.088966Z" + }, + "papermill": { + "duration": 0.367387, + "end_time": "2022-12-13T22:15:09.091799", + "exception": false, + "start_time": "2022-12-13T22:15:08.724412", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -1054,7 +1359,7 @@ "[5950 rows x 93 columns]" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1077,35 +1382,61 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "350c4c27", + "metadata": { + "papermill": { + "duration": 0.070941, + "end_time": "2022-12-13T22:15:09.234113", + "exception": false, + "start_time": "2022-12-13T22:15:09.163172", + "status": "completed" + }, + "tags": [] + }, "source": [ "... with targets being the numeric identifiers of the images presented." ] }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 13, + "id": "e3107465", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:09.376665Z", + "iopub.status.busy": "2022-12-13T22:15:09.375852Z", + "iopub.status.idle": "2022-12-13T22:15:09.384999Z", + "shell.execute_reply": "2022-12-13T22:15:09.384166Z" + }, + "papermill": { + "duration": 0.082273, + "end_time": "2022-12-13T22:15:09.386688", + "exception": false, + "start_time": "2022-12-13T22:15:09.304415", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { "text/plain": [ "stimulus_presentation_id\n", - "51355 14\n", - "51356 0\n", - "51357 8\n", - "51358 106\n", - "51359 8\n", - " ... \n", - "68224 35\n", - "68225 35\n", - "68226 73\n", - "68227 95\n", - "68228 95\n", + "51355 14.0\n", + "51356 0.0\n", + "51357 8.0\n", + "51358 106.0\n", + "51359 8.0\n", + " ... \n", + "68224 35.0\n", + "68225 35.0\n", + "68226 73.0\n", + "68227 95.0\n", + "68228 95.0\n", "Name: frame, Length: 5950, dtype: object" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1117,9 +1448,37 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], + "execution_count": 14, + "id": "2cde3339", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:09.528389Z", + "iopub.status.busy": "2022-12-13T22:15:09.527706Z", + "iopub.status.idle": "2022-12-13T22:15:11.907224Z", + "shell.execute_reply": "2022-12-13T22:15:11.906140Z" + }, + "papermill": { + "duration": 2.453011, + "end_time": "2022-12-13T22:15:11.909447", + "exception": false, + "start_time": "2022-12-13T22:15:09.456436", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: scikit-learn in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (1.2.0)\r\n", + "Requirement already satisfied: numpy>=1.17.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-learn) (1.23.5)\r\n", + "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-learn) (3.1.0)\r\n", + "Requirement already satisfied: scipy>=1.3.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-learn) (1.9.3)\r\n", + "Requirement already satisfied: joblib>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-learn) (1.2.0)\r\n" + ] + } + ], "source": [ "!pip install scikit-learn\n", "\n", @@ -1130,8 +1489,24 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, + "execution_count": 15, + "id": "1544018e", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:12.052347Z", + "iopub.status.busy": "2022-12-13T22:15:12.051390Z", + "iopub.status.idle": "2022-12-13T22:15:12.061670Z", + "shell.execute_reply": "2022-12-13T22:15:12.060805Z" + }, + "papermill": { + "duration": 0.08308, + "end_time": "2022-12-13T22:15:12.063532", + "exception": false, + "start_time": "2022-12-13T22:15:11.980452", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "design_arr = design.values.astype(float)\n", @@ -1142,8 +1517,24 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, + "execution_count": 16, + "id": "fa0261fa", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:12.204296Z", + "iopub.status.busy": "2022-12-13T22:15:12.203498Z", + "iopub.status.idle": "2022-12-13T22:15:31.536457Z", + "shell.execute_reply": "2022-12-13T22:15:31.535056Z" + }, + "papermill": { + "duration": 19.405808, + "end_time": "2022-12-13T22:15:31.538407", + "exception": false, + "start_time": "2022-12-13T22:15:12.132599", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "name": "stdout", @@ -1178,8 +1569,24 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 17, + "id": "d53c468f", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:31.684442Z", + "iopub.status.busy": "2022-12-13T22:15:31.683743Z", + "iopub.status.idle": "2022-12-13T22:15:31.688594Z", + "shell.execute_reply": "2022-12-13T22:15:31.688020Z" + }, + "papermill": { + "duration": 0.079201, + "end_time": "2022-12-13T22:15:31.690080", + "exception": false, + "start_time": "2022-12-13T22:15:31.610879", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "name": "stdout", @@ -1197,26 +1604,50 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "05bb9110", + "metadata": { + "papermill": { + "duration": 0.069499, + "end_time": "2022-12-13T22:15:31.830221", + "exception": false, + "start_time": "2022-12-13T22:15:31.760722", + "status": "completed" + }, + "tags": [] + }, "source": [ "###### imagewise performance" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, + "execution_count": 18, + "id": "c924f8a1", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:31.971471Z", + "iopub.status.busy": "2022-12-13T22:15:31.970820Z", + "iopub.status.idle": "2022-12-13T22:15:32.179161Z", + "shell.execute_reply": "2022-12-13T22:15:32.178346Z" + }, + "papermill": { + "duration": 0.282325, + "end_time": "2022-12-13T22:15:32.181866", + "exception": false, + "start_time": "2022-12-13T22:15:31.899541", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1236,19 +1667,43 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, + "execution_count": 19, + "id": "45b0c16d", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:15:32.325727Z", + "iopub.status.busy": "2022-12-13T22:15:32.325078Z", + "iopub.status.idle": "2022-12-13T22:15:35.356581Z", + "shell.execute_reply": "2022-12-13T22:15:35.355617Z" + }, + "papermill": { + "duration": 3.117486, + "end_time": "2022-12-13T22:15:35.370784", + "exception": false, + "start_time": "2022-12-13T22:15:32.253298", + "status": "completed" + }, + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:downloading a 1.028MiB file from http://api.brain-map.org//api/v2/well_known_file_download/950745916\n", + "Downloading: 100%|██████████| 1.08M/1.08M [00:00<00:00, 1.66MB/s]\n", + "WARNING:root:downloading a 1.028MiB file from http://api.brain-map.org//api/v2/well_known_file_download/950745861\n", + "Downloading: 100%|██████████| 1.08M/1.08M [00:01<00:00, 922kB/s]\n" + ] + }, { "data": { - "image/png": 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\n", 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"output_path": "/tmp/tmp07ft9hos/scratch_nb.ipynb", + "output_path": "/tmp/tmpszhs36al/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp07ft9hos", + "output_dir": "/tmp/tmpszhs36al", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:54:12.084991", + "start_time": "2022-12-14T00:01:54.941967", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_session.ipynb b/doc_template/examples_root/examples/nb/ecephys_session.ipynb index c8920cb64..58ef395e3 100644 --- a/doc_template/examples_root/examples/nb/ecephys_session.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_session.ipynb @@ -5,10 +5,10 @@ "id": "b3932a0a", "metadata": { "papermill": { - "duration": 0.017917, - "end_time": "2022-12-09T22:07:54.252314", + "duration": 0.015146, + "end_time": "2022-12-13T23:01:08.702506", "exception": false, - "start_time": "2022-12-09T22:07:54.234397", + "start_time": "2022-12-13T23:01:08.687360", "status": "completed" }, "tags": [] @@ -59,16 +59,16 @@ "id": "d2645d16", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:07:54.288421Z", - "iopub.status.busy": "2022-12-09T22:07:54.287311Z", - "iopub.status.idle": "2022-12-09T22:08:04.094397Z", - "shell.execute_reply": "2022-12-09T22:08:04.093166Z" + "iopub.execute_input": "2022-12-13T23:01:08.728842Z", + "iopub.status.busy": "2022-12-13T23:01:08.728170Z", + "iopub.status.idle": "2022-12-13T23:01:17.222381Z", + "shell.execute_reply": "2022-12-13T23:01:17.220884Z" }, "papermill": { - "duration": 9.826838, - "end_time": "2022-12-09T22:08:04.097175", + "duration": 8.509827, + "end_time": "2022-12-13T23:01:17.224669", "exception": false, - "start_time": "2022-12-09T22:07:54.270337", + "start_time": "2022-12-13T23:01:08.714842", "status": "completed" }, "tags": [] @@ -78,7 +78,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3803/448338585.py:8: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_4439/448338585.py:8: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" @@ -116,10 +116,10 @@ "id": "3352ffed", "metadata": { "papermill": { - "duration": 0.015908, - "end_time": "2022-12-09T22:08:04.130626", + "duration": 0.012475, + "end_time": "2022-12-13T23:01:17.250244", "exception": false, - "start_time": "2022-12-09T22:08:04.114718", + "start_time": "2022-12-13T23:01:17.237769", "status": "completed" }, "tags": [] @@ -138,16 +138,16 @@ "id": "22ea0388", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:08:04.163666Z", - "iopub.status.busy": "2022-12-09T22:08:04.162347Z", - "iopub.status.idle": "2022-12-09T22:08:04.167835Z", - "shell.execute_reply": "2022-12-09T22:08:04.166965Z" + "iopub.execute_input": "2022-12-13T23:01:17.276664Z", + "iopub.status.busy": "2022-12-13T23:01:17.275767Z", + "iopub.status.idle": "2022-12-13T23:01:17.280081Z", + "shell.execute_reply": "2022-12-13T23:01:17.279529Z" }, "papermill": { 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"2022-12-09T22:13:07.824060", + "start_time": "2022-12-13T23:09:11.891600", "status": "completed" }, "scrolled": true, @@ -3419,10 +3419,10 @@ "id": "c403963b", "metadata": { "papermill": { - "duration": 0.052693, - "end_time": "2022-12-09T22:13:42.839450", + "duration": 0.085373, + "end_time": "2022-12-13T23:09:35.932742", "exception": false, - "start_time": "2022-12-09T22:13:42.786757", + "start_time": "2022-12-13T23:09:35.847369", "status": "completed" }, "tags": [] @@ -3437,16 +3437,16 @@ "id": "f6364f19", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:13:42.950055Z", - "iopub.status.busy": "2022-12-09T22:13:42.949416Z", - "iopub.status.idle": "2022-12-09T22:13:44.233633Z", - "shell.execute_reply": "2022-12-09T22:13:44.232716Z" + "iopub.execute_input": "2022-12-13T23:09:36.104280Z", + "iopub.status.busy": "2022-12-13T23:09:36.103758Z", + "iopub.status.idle": "2022-12-13T23:09:37.356460Z", + "shell.execute_reply": "2022-12-13T23:09:37.354875Z" }, "papermill": { - "duration": 1.341127, - "end_time": "2022-12-09T22:13:44.236353", + "duration": 1.342825, + "end_time": "2022-12-13T23:09:37.358595", "exception": false, - "start_time": "2022-12-09T22:13:42.895226", + "start_time": "2022-12-13T23:09:36.015770", "status": "completed" }, "tags": [] @@ -3561,10 +3561,10 @@ "id": "4b82ecaa", "metadata": { "papermill": { - "duration": 0.05918, - "end_time": "2022-12-09T22:13:44.354479", + "duration": 0.087433, + "end_time": "2022-12-13T23:09:37.531196", "exception": false, - "start_time": "2022-12-09T22:13:44.295299", + "start_time": "2022-12-13T23:09:37.443763", "status": "completed" }, "tags": [] @@ -3579,16 +3579,16 @@ "id": "ecf229a4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:13:44.477604Z", - "iopub.status.busy": "2022-12-09T22:13:44.476884Z", - "iopub.status.idle": "2022-12-09T22:13:44.982003Z", - "shell.execute_reply": "2022-12-09T22:13:44.980830Z" + "iopub.execute_input": "2022-12-13T23:09:37.700266Z", + "iopub.status.busy": "2022-12-13T23:09:37.699570Z", + "iopub.status.idle": "2022-12-13T23:09:38.047817Z", + "shell.execute_reply": "2022-12-13T23:09:38.046343Z" }, "papermill": { - "duration": 0.570121, - "end_time": "2022-12-09T22:13:44.984321", + "duration": 0.436124, + "end_time": "2022-12-13T23:09:38.050317", "exception": false, - "start_time": "2022-12-09T22:13:44.414200", + "start_time": "2022-12-13T23:09:37.614193", "status": "completed" }, "scrolled": false, @@ -3597,7 +3597,7 @@ "outputs": [ { "data": { - "image/png": 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u7bff9lrmyJEjzrtBDRo0KPTq0KZNm5z1fb2iaUzB+Wzfvn3FHo/2uaNt27Zej4tJkyb5nYOB5panQ4cOmV27dvlcnp+fbwYOHGgkmfLly5s///yzWJlAz2eeAh0f0T6HhTuGoSo6T4v+9O/fP6yA5vmu6ltvveWz3MMPP+yUmzp1qs9yU6dOLdSvDRs2FCuzYcMGJ1jWrFnTvPDCC+bLL780X3/9tXn99dedZdWrV4/oXdNwlNrg+e677zqD7m1CBuK503wFO2OMueSSS4xU8LZO0RNuOMHzwQcfdNa54YYbvL6cfvDgQecvbn8nTmOMee2115y/Kg8dOuR/o73wDJ4TJ04Mef2i8vLyTPXq1Y0kM2rUqELLdu7c6bTl7VWKQIINnl999ZXTznfffee37F/+8hcjyZx99tnFlnme+Hx93CJUgYLGsmXLnDK33Xabz3oWLVrklLv99ttj2vdIj7VYBM9rr73WZx1du3Z1yj344IMB+9WnTx+/bcVz8Iz0mAqG51z68MMPfZYbOnSoU67oq56e58rTTjvN5OXl+azHHSivvvpqv/1at26dU+cXX3zhPL548WLn8W+//TbIrSwQi3OHrz7k5+c7r9B7m4OhBM9g7N2715QpU8bnfoxW8IzFOSzcMQyVr+DZsGHDQnMsVO5XTMuVK+f3HLpkyRKnzVatWpkjR44UK3PkyBHTqlWroDLM77//bv71r3+ZChUqFNumpKQkc99995nt27eHvV3hKrVfLqpdu7bz+/jx48Oup2XLlmrbtq3P5YMHD5Yk5eXlRXRR3fz8fA0ZMkTPPvusJOnOO+/Uf//7XyUmFr+i1cKFC7V//35JUt++ff3W27VrV0lSbm6uVq5cGXb/kpOTdc0114S0Tn5+vnbt2qUNGzZo7dq1Wrt2rdavX+98g+7bb78tVL5atWpKTk6WJP33v//1++H8SLi/OZiRkaGWLVv6Lesev8zMTJ/9qVevns4999zodtIH93U+Jenmm2/2We6cc85R8+bNi61TVDT6Hq1jLZquu+46n8tatWoVVLkzzzxTUsGXMkorW8eUVHBZlt69e/tc7j5XSv7n5LXXXqsyZcp4XXbgwAHnPBvo3Ne8eXNVr15dUuFv5HrO11C/8BXtc0fLli2deVaUy+XSWWedJSn6czA3N1c7duzQ+vXrnXPzrl27VK1aNUnFz83RFO1zmM0xbN++vXNDjxUrVmjatGkaOHCgtm/frgEDBmjs2LEh1/nNN99o06ZNkqTevXsrLS3NZ9lOnTrpsssuk1Swj7p166Z58+YpOztb2dnZmjdvnrp166Zvv/3WOe4l6ciRI17rmz59ut59912v38LPzc3VlClTNHnyZOvXTy61wbNLly7Ot7X+/ve/q0OHDnr66ae1ePHikL6d1b59e7/LO3To4Py+Zs2asPqal5enfv366a233pIkPfLII3r55Zd9frPY85tttWvX9nvLrTPOOMMp++uvv4bVP0lq2rSp14vZFmWM0aRJk3T++eerQoUKqlu3rpo1a6aWLVs6P1lZWZKk33//vdC6ZcuW1bXXXiup4Jt4p556qh544AHNmDEjqndOcI/fhg0bAt6y7M4775RUcBDu27fPa32+TnqxsHbtWkkFfwi0bt3ab9mOHTtKKrgSga85H42+R+tYiyZ/18yrXLlySOUOHjwYrW5ZZ+uYkqSzzjrL6x/Kbq1bt3aeDP2dK/3NydWrVztXxejXr1/A49d9jvE89zVq1Mj5Y+vFF1/U6aefrscee0zz589Xdna2322M9rmjWbNmfturWrWqpOjMwdzcXL366qvq1KmTKlSooHr16qlFixaFzs27d++WVPzcHE3RPofZHMPy5cvrjDPO0BlnnKG2bduqT58+Gj9+vGbPnq19+/bplltucS7uHqyJEyc6vw8YMCBg+XfeecfJJcuXL1ePHj1Uvnx5lS9fXj169NDy5cvVq1cvJ6BKhb9x73bvvfc6V5u48sortXjxYh06dEhHjhzRqlWrNGjQIG3btk0PPvig+vbtq+PHj4e0XZEotcEzKSlJ06dPd/5iyszM1LBhw9SlSxdVrlxZF198sSZPnhxwMGvUqOF3ec2aNZ3ffZ1cAtm5c6emTJkiSbr00ksLXUTWG/fJIVSBTqr+VKlSJWCZo0ePqlevXrrpppu0YMECn39luXlb/sorr+jyyy+XVHBZpOeff169evVStWrV1L59ez3//PPOq73hivb4BTM20eKeY1WrVvX7JC/Jud2aMcbnZbWi0fdoHWvRlJqa6nOZ58WUgylns9+xYOOYkgKfKxMTE50Q4O9c6W9ORuvYfe+999S5c2dJ0rp16/Svf/1L3bt3V+XKldW1a1e98cYbzqVtYtG+m7/5J0VvDu7bt0+dO3fWnXfeqWXLlgX8gzDQuTvSvkjRO4fZGkN/unfvrrvvvltSwaXw/F06zNOxY8ec5/7atWvrwgsvDLhO1apV9dVXX+m5555TRkZGoWUNGjTQCy+8oE8//bTQnCt6TH3++ecaPXq0pIK7TH300Uc6++yzVb58eaWkpOiss87SuHHj9Oijj0qSpk2bptdeey2obYqGUn3nohYtWmjNmjWaPn26pk+frq+++ko//fSTjhw5otmzZ2v27NkaPXq0ZsyY4fOkGc71DENVs2ZNnXrqqVq8eLFmzJihF154Qffee6/P8p4H0KpVq4K+2Li3i8QGy9dbX55GjBihmTNnSpK6deumO+64Q23atFGtWrVUrlw55wTQtWtXff31115fvk9LS9Onn36q5cuXa8qUKVqwYIGysrJ0/PhxrVixQitWrNCoUaP08ccfO08coXKPX6tWrTRp0qSg16tbt67Xx4MZm2iL1ryMVt+jcawhNmwcU5KdOel57nvzzTedWwUGUvSJt27duvrmm280b948TZs2TQsXLtS6deuUm5urr7/+Wl9//bVGjRqlGTNmFHpVPNrnDlvuvvtu56NWV155pQYPHqwzzzxTNWrUUEpKirPv6tevr+3bt1t5a9XGc6tNvXv31nPPPaf8/HxNmzZNw4YNC7jO9OnTnUB9/fXXB30+TklJ0f3336/7779ff/zxh37//XelpaUVeiFs48aNkgqO/3r16hVa333XIpfLpaeeespnO8OGDdOLL76oQ4cOady4cfrb3/4WVP8iVaqDp1RwErvyyit15ZVXSiq4wPmsWbP06quvauXKlVq5cqX++te/6qOPPvK6vr8LCBdd7v5rPlQpKSmaOXOmevbsqaVLl+q+++5TmTJl9Pe//91reffncCQpPT09okAZLcYYZzKfe+65mj9/frHbdLkF88pwhw4dnI8xHDx4UAsWLNCECRM0bdo07d69W1dffbU2bdqkcuXKhdxX9/gdOnSo0EcRSgP3HNu7d6/y8vL8vmLgfnvR5XJZeVU20mOtNPGc2/5uiHD48OGI2nG5XDLGBLzpQjDtxPKYkgKfK/Py8gq92hUOz3NfampqxMdv9+7d1b17d0kFx9TcuXM1ZswYzZ8/X5s2bdK1116r1atXF2u/NJ07Dhw4oP/973+SpBtuuMFvYI70hiPBiOdzWCTS09Od3903xQgk1LfZvalSpUqxsdm3b5+2bNkiSWrXrl2xkL9+/XpJBe9S+PujKCUlRaeffrqWLVsW9Ku40VBq32r3pXbt2ho0aJCWLFmiNm3aSJI+++wzn28tZGZm+q3Pc3kkJ6KKFStq1qxZzmc37rnnHr3yyitey7o/LC1JixcvDrvNaNq3b59zkrjmmmt8hs5Dhw5pw4YNIdVdsWJFXX755Zo6daruuusuSQWhpuidLYL9C9rzw+aRfO61JLjnWE5OjvNZWV+WL18uqeDzuZ4fNLcl2GOtNL7y4fmZKX9P1oHunhNsO/7aMMbop59+CrneYI6pUGRlZfn98tK3337rvMUb7rmydevWznyJ9rmvWrVquvbaazVv3jxdccUVkgq2yf3KkRRf545gj5uNGzcqNzdXkpzP+3rzww8/+L3VY7SO09J0DguF510MK1SoELD8nj17nLtFtW7dOuCX1UIxbdo0549Vb/vcHfaD+bKhe+4E+lhENJ1wwdMtKSlJ3bp1k1Qw+L4+aL9mzZpCf/EWNW7cOEkFr/b4ul1dsCpVqqQvvvjC+Rb93/72N73++uvFyvXo0cP5XMtLL71k/Rtn3nhOYH+vvrz99tsRfbPW/eqEVPwD8O4vPwW6XZn7ScUYo//85z9h96Uk9OjRw/ndPfe8WbJkidatW1dsnZIQ6FgLdr/FE8/bFXp+2a+o9957Lyrt+Gtj5syZEX1RyN8xFYp9+/Zp+vTpPpd7ztdw52R6ero6deokSZo8ebL27NkTVj2B+BqTeDp3eH7Z09+xE+y5+Y033ohKe4GUxnNYMD744APn92BC5HvvveeEunBf7fTm6NGjGjlypKSCV0Ovv/76YmXc55W9e/c6r356s2/fPufLYJ7nvFgrtcHz66+/9vsqQE5OjhYuXCip4K8Tz5fJixoyZIjXA3by5MmaMWOGpILPzXhepiNclStX1pw5c5y/rO+44w7n2+6eZdzfmPzmm290zz33+H0r7rfffnPeBo+V9PR051vA7733ntcTU2ZmpvNhZW82b97s7BNfvvjiC+f3ogeCe/x3797t9xuMPXv2dN5yfP75550Pd/vi/uxiPOjQoYPatWsnSXrrrbe83k98//79+utf/yqp4C3hoUOHxrRPkR5r7v3mvqRIaXDGGWc4bxm+8sorXuf7lClTCj0ZhcMd2JctW+b1Fb5ff/3V7+euIj2mQvWPf/zD61vuCxcu1JgxYyRJbdu2DXi1EH8eeeQRSQVvIfft29dv6D527JheffXVQl8UysrK8vtKmzHGuXyPy+VSw4YNnWXxdO7wvFSWv2Pn1FNPdV6tfOedd7y+UDF9+nSf77C5eT6/RXKsxuM5zJ/33nsv4JfvpkyZojfffFNSwQtI7j9Q/HG/zZ6YmOg1HPry66+/+ny+P3LkiPr16+e8zf7CCy94ffXV/WVDqeBKJN6+bJafn6+77rrLWeb5LfmYs37l0Ch5/PHHTUJCgunWrZt57rnnnNs3Llq0yIwbN8506NDBuVDq3XffXWx99zL3LTObNWtmxo8fb1asWGHmzZtnhg4d6tyZomLFil4vIh3JLTN///135yKwLpfLjB07ttDyo0ePFroXdatWrcwrr7xiFi1aZFavXm3mz59vXn75ZdO7d2+TnJxs2rZtG9Y4+rsVX1F33HFHoXGbPHmyc4vRf/zjHyYlJcVUr17dnHbaaV7rdI9XixYtzD//+U/z0UcfmeXLl5vly5ebqVOnOhdklmRat25t8vPzC60/Z84cZ/n1119vlixZYjZu3Oj8ePrpp59M1apVnfKXX365mTRpklm2bJlZsWKFmTFjhhkxYoTp1KmTkbzf9SWUC58Hy90ffxcM97zdXHJysrn33nud2z2OGTPGNG7c2Kkn0O3motH3SI+1f/7zn87yp59+2mRlZTn7zPNWocYEfwF5fxd1D3TRdrdANyTwvIvI2WefbT7++GOzatUqM3PmTDN48GCTkJDg3OVGYV5Afu3atc4df6pUqWJefPFFk5mZaRYvXmyee+45U6tWLVOtWjXTtGnTmBxTwSh6y8y6deuaV155xSxfvtx8/fXX5uGHH3ZuXZiYmOj1TlGhXJzcGGPuvvtup3ytWrXME088YebOnWtWr15tFi1aZCZMmGBuvvlm5/7Znneec8+T9u3bm+HDh5vPPvvMrFixwrm964UXXujU3bt372Jt2zx3BJqD55xzjpFkqlWrZiZPnmzWrVvnHDued6Lq1auX098ePXqYqVOnOn29+eabTZkyZUzTpk1Nenq6336dcsopRiq4hfInn3xifvjhB6e9AwcOFBtjX8eizXNYKHe086Zbt26mQoUK5sYbbzRjxowxCxcuNFlZWWbx4sVm3Lhx5tJLL3X66nK5zIQJEwLW+f333zvrXHbZZSH15/nnnzcNGzY0Dz30kPnss8/MqlWrzMKFC82oUaMK3brzlltu8VnHsWPHTPPmzZ2yLVu2NGPGjHHm8MSJEwvd4rpmzZo+79IVC6U6eLoHzd9P7969vd6S0vMJzl9daWlpZsGCBV77EEnwNKbgfqstW7Y0UsFtw955551Cyw8cOGCuuuqqoLbz/PPPD3kMjQkteP7555+mdevWPvtQtWpVs3DhQp91BrodmfunWbNmxe7hbYwxx48fd0723n6K2rBhgznjjDOCavPJJ58stn5JBU9jjJk9e7ZJS0vz2+c77rjDHD9+3Ov60Q6ekRxrO3bsKPRE7vlTdI74Gx/bwfPw4cN+59t5551n1q5d6/w/nOBpjDGjR4/2e0x99dVXMTumguE5l9566y0nKBf9SU5ONu+9957XOkINnvn5+ebJJ5/02ZbnT/ny5QvNO8954u/n7LPP9nk/bFvnjkBz8LPPPnPu8V30x/MY2bZtm6lfv77PPtavX998//33AfvlvhOetx/P+R3MsWjrHBaN4BnMfq5SpYp59913g6rT8w6FU6ZMCak/zz//vN9+JCYmmoceeijgH5Fbt24tdocjbz+NGjUyq1evDqmPkSq132q/7777dOaZZ2ru3LlavXq1du3a5VyDrVatWurQoYP69++vXr16BazriSeeUOfOnfXyyy9rxYoV+uOPP1SnTh1deumlevjhh2P2rfLq1atr3rx5Ov/88/X9999r0KBBKlOmjG644QZJBV8QmDp1qhYtWqR33nlHX3/9tXbt2qUjR44oLS1NTZo0UYcOHdSrVy/17NkzJn30VKlSJS1evFijR4/WlClTtHHjRiUmJqpevXrq1auX7r77br9jde6552rBggWaPXu2li5dqu3bt+u3337T0aNHVbVqVbVq1UpXXXWVBg4cqLJlyxZbPyEhQV988YWee+45TZ8+XZs2bdLhw4d9fgb2tNNOU1ZWlqZMmaKpU6cqMzNTe/bs0fHjx1WtWjVlZGSoS5cu6tOnj/PlmHjRs2dP/fTTT/r3v/+tGTNmaPPmzTp27Jhq1qypc889V7fddpu6dOlipS+RHmt169bV8uXL9fTTT2vhwoXasWOH12soxpvU1FTNnz9fL774ot5//3399NNPSkpKUkZGhgYMGKDbbrtN27dvj7ide+65Ry1atNCLL76o5cuXKzs72zn/PPDAA6pfv77PdSM9pkJ1yy236IwzztCLL76oRYsW6ffff1d6erq6d++uBx98UC1atIi4DangLfDHHntMN910k9544w3Nnz9fmzdv1v79+5Wamqp69erprLPOUs+ePdWnT59C39Tv16+fatasqTlz5igzM1M7d+7Ub7/9pry8PNWoUUNt2rTRtddeq+uuu87nlyTj5dzRq1cvzZs3T//5z3+cPrg/N+ipXr16WrVqlZ599ll98skn+vnnn5WSkqKGDRvqyiuv1N133x3Ut8aHDh2qmjVr6s0331RWVpb27dsX9mf24+kc5s/EiRP12WefadGiRfrhhx/022+/ac+ePUpOTlb16tXVsmVLXXzxxbr++uuDGsP8/Hy9++67kgo+NhfM2/KerrrqKh09etS58sLu3btVtmxZnXLKKbrooot08803B3WcNWjQQJmZmXr//ff14YcfatWqVdqzZ4+MMapatarOPPNMXXnllerfv7/Kly8fUh8j5TK+nrVPcO7PxDz++ON64oknSrYzABCnGjZsqJ9//lkDBgwI+RaUAFBUqf1yEQAAAEoXgicAAACsIHgCAADACoInAAAArCB4AgAAwIqT9lvtAAAAsCuuruOZn5+vXbt2qWLFis7ljgAAABA/jDE6ePCg6tSp4/N6uL7EVfDctWuX6tWrV9LdAAAAQADbt28P+SY7cRU8K1asKKlgQ9LS0kq4NwAAACjqwIEDqlevnpPbQhFXwdP99npaWhrBEwAAII6F87FIvtUOAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKxJLugOInpycHI0cOVKSNGzYMCUnJ5dwjwAAAP4Pr3gCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4xkB+drbWN2uu9c2aK2/vXud3909+dnZI6wVTPj87W8nJyXriiSf02AMPaNOZrUJaN5wywdQRTL3h1uOtPn/jFmk74fYp2m0FW7fN7Q1HOP2LZJs81w22Dn/tldQxZHu/2upjLLYr1HNqrMX7MQnYQPAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUuY4wp6U64HThwQJUqVdL+/fuVlpZW0t0BcBLIzslTi8dmS5LWDb9IqcmJJdwjAIhvkeQ1XvEEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWMGVkuPM8bx8Lfv8B0lSx17NVCaRvw2AWEpNTtTWZ3qVdDfiBucgALHEGQUAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVriMMaakO+F24MABVapUSfv371daWlpJdye6cnOlcW8X/H7TAOm/7xRePvgWKSnJfr8i4blNwfY/nHViJZK+xMt2BNOPaJUpCfHaL8nO/I90+2M9fvG8f6LpRNnOE2U7UKAE92ckeY1XPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWcAF5D3nHjaZn7pYkXd6+hhLLuKJaHqFhfE9c0di3pXV+2Op3SY5PSe+bkm6/tIu38Yu3/oALyAMAAKAUIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArODORQjL8dxcLZ04RpLUqf8QlUlKKuEehY5tiF1d0Wgn3P6cCPs1FoIZl3DGrrSMd2nattIypicL9kdx3LkIAAAAcY/gCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACu4gLwtx3OkLx8v+P38J6UyySXbn6LivX8AACAucAF5AAAAxD2CJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMCKxJLuwIkgPztbG9q09Vum6eJF2njnx5KkjFWPKiE1udi6GatWKiE11Wu9RZdFW/6xPG3w0j9b4mUcQu2bzTrCUbRdSX7/H0q/vG2Tre2MVTslPdcidbKOS7z3z59I+x4P2x4PfTgRnajjyiueAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACtcxhhT0p1wO3DggCpVqqT9+/crLS3NXsO5udK4twt+H3yLlJQUWTkAsI3zExBYSR4nJ9AxGkle4xVPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFjBnYtiIPfoUb00oK8k6a53PlRSSkpQy0qiP/Fct692vAm37VD7H4vtjaROz3WHjpmk14fcWKzMXe98KEl+x8+zbFJKit/x9mzH83dv6/rqk2d5b9vibRx81ett+7z1xdbxBiA6TrTj90TaHu5cBAAAgLhH8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVXED+BJWfc1y7HvtGklRn+NlKSC5Twj0CAMTDuTke+oDSjQvIAwAAIO4RPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWJJZ0B0pUbq407u2C3wffUvCv5/+TkoqXSUoKr35vbRR10wDpv+/4b9/f+h4SJJ3S6P/XOX6M74I3DZBSU333u2ib110vvT+5+O+efXfz1t9gxtCz/aJjUrS+QDzX91dXoP3t7fGi+zcSwfbHs0ws2vV83Nd+CrTd3uZCOPvRVx98te+t3XBFYx8X7Y+/+SQFf54J1KdA4+utvaLlI+2DN8Gc37yNT9E++To/+GuvaLlg5qi/vhQVzJz+/2USxr9d/NzsbbxDfe4p2k8/574El3RKo7UF/89rK433MU7BngfCGV8psu3z5G38g50bvvrnb3/4ajNQu97a8azD1/NoKLmjFOAVTwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVLmOMKelOuB04cECVKlXS/v37lZaWVtLdARAH8rOztaFN20KPZaxaqYSiNz4oUtZXGV/lfK0bbJ3hiGbdsexntHn2teniRdp4ThdJ0el3pOPgb/1YjXGgekOZr+H0M5z2o72NtuuzsS/dQjkXSfL7fxvzMRiR5DVe8QQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFdy5yLL8/Fxt3vyyJKlx478pISGphHtk18m+/dHGeAIAbOPORQAAAIh7BE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYwQXk40nOYWlknYLfh+2SksuXfF3R7FMs64yleOlvvPQjVvxtXzjbXnQdKfLxi+d94KtvgfocyjZ5KxvpvgllvWDrjLd9Y1M0jhV/c4dxhriAPAAAAEoBgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACu5cZMHx48eVmZkpSWrfvr3KlCnj9bFI64yVaLYVTl02tzUSpaWf8aw0j2E0+l60DkmlYjx8bXtp3p/RYGv7I3mO8SwXTD9DLR9O3yMVTJ2htFsS8zjejx3uXAQAAIC4R/AEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFVxAvgTk5ORo5MiRkqT77rtPo0aNkiQNGzZMycnJYdflb/1gy5UWntvjVnS7gtlmX/vCV53B1B1M34JVmvdvsGMU7Xkfj2PhTdF+SioV/QZKs1icH0rLOSeauIA8AAAA4h7BEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFdy6KgezcbHWc3FGStOz6ZUpNSi0VddtsAwAAlE7cuQgAAABxj+AJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAK7iAPErE8dxcLZ04RpLUqf8QlUlKKuEeAQDiTWl9riit/Q4WF5AHAABA3CN4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKw4ae9clJ+drQ1t2vpcnrFqpRJSU4OqK2/vXm08p4vfMp71BWrbcx1JTtmmixf5bKfoMnd7RdvyLFe0/qL/D9SGN03mztGmHheGtX7TxYuUWK2apMJj5GvsAvXX37re+hNMfb62w/MxX78XnVOe/Ql133rrZ7B1+JornoqOlb/96k04Y+lvfLyVL9p/b+X99cNb2/6OTX9jGEz//G1XoDZ8bYe/Y8Pf+ctXH3z137NtX3X7Gv9gjt1Qzrf+2vR3zgw0z/31IZhjNZj54W2eFS0b7XNGoH55m1vhHIuhPMe5ywZ67gz2/B2o7UDHd7jzz5tgnqMCHc+B5qXncs9zs+dzaKxx5yIAAADEPYInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArDhpLyBvU+6x4xpz90JJ0pD/dFNS2TJhlYmkPAAAQDRwAXkAAADEPYInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAruXFTCcnJyNHLkSEnSsGHDlJycHBd1xXP/YrGdpUW42x4vYxYv/YiGeNmWeOkHghNv5+kTdf6cqNsVL7hzEQAAAOIewRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWcAH5CB0/flyZmZlel7Vv315lypQJuZ42bdpo1apVherwtTzYtjzXL1rW27JIHgu3zXAe91WfpJDKexu7UMc80D4Mtt1wxyFaY1oS8yGUMsGMl6Sg5kMo/fWsI5RjNFrzMdTyke4Lf2WjMR9isV3RGoNwz0PB9EHyP49C2dZYHPNukbYXjbKhCuYcHGhbgi0TSZ+jNc+jNW7h4ALyAAAAiHsETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAV3LmolDJ5+To253tJUtkLT5crsfjfEMGUiXWdNsRjn0IV7jaUpm3311dvyzwfc/O2zLOuQPV4G6NojGEs94Nn3ckXNFfO/PVhtRPO2ETSn3D6Hcp+DXVbg1kWTluhtB0qG30Jdl7YOI6isT3hrh9s3ZGee0Kd4/F6jufORQAAAIh7BE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYwQXkS7vjOdKXjxf8fv6TUpnkku1PSfA3BjbH52TZF6V1OyPtd9H1peL1eZbp+k/pqxHF2/PVj0j6523dWLQTDdFq38b2BbM/bSvp/RcroW5XsOVDOTai0cdYbUe0140QF5AHAABA3CN4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKw4qe9clJOTo5EjR0qShg0bpuRk31f9D6VstOuIRtuxqCtQvcG0Fav+hNrXWPfJs8777rtPo0aNCqr+cMZQkt//+2ov1O0OdxyjedyF2kagsfK3fqDHvO3XYLc1FueGYLY10vHz116wx3s4545I+u0Wav/D3deRzoFI+xVKH4LpTyhC2bexmFuRbmOsn3tL4vkvWrhzEQAAAOIewRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWnNQXkA9Wfn6uNm9+WZLUuPHflJCQZK2uUMpHu6y/MrHcjkjWCWb9aG5XaRWL/edZJth6I2kjVvPOXx3B9q1hw9u0desbXstHMv9itf3ROCbCLSep2HqxmAvR7HO0zsPR6Fu06grnfBnN9oMtH25/YnFuL6nni3h4nuIC8gAAAIh7BE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBURBc8LLrhAzz33XMByo0aN0gUXXBBJUwAAACjlEiNZecGCBWrYsGHAchs2bNDChQsjaQoAAAClnJW32nNzc5WQwLv6AAAAJ7OILiCfkJCggQMHaty4cX7LtW3bVjt37tSvv/7qt1y8XkAewcvOyVOLx2ZLktYNv0ipyYleH4sn8d6/klCaxiTafS1N2w4AJSGSvBbyGXXw4MGF/r9o0aJij7nl5eVp3bp1ysrK0hVXXBFqUwAAADiBhBw8J0yY4Pzucrn0008/6aeffvK7Tp06dTRixIiQOwcAAIATR8jBc/z48ZIkY4wGDx6sLl266Oabb/ZaNjk5Waeccoo6deqkpKQT857XAAAACE7IwXPAgAHO70888YQ6depU6DEAAADAm4g+Nb9169YodQMAAAAnOq5xBAAAACtCesVz4sSJkqQ+ffqoYsWKzv+D1b9//5DKAwAA4MQRUvAcOHCgXC6XOnXqpIoVKzr/DxbBEwAA4OQVUvDs37+/XC6XKlWqVOj/AAAAQCAR3bko2rhzEbzJPXpULw3oK0m6650PlZSSUsI9Kiya/Qu1Ll/l433MAESmtB3jkfQ3WudFRE8keY0vFwEAAMAKgicAAACsiOg6nm7Hjh3TihUrtHPnTh09etRnOb5cBAAAcPKKOHi+9NJLeuKJJ7R///6AZQmeAAAAJ6+Igud///tf/f3vf5ckNWvWTM2bN+dLQQAAAPAqouD573//Wy6XS+PHj+fVTAAAAPgV0ZeL1q9fr06dOhE6AQAAEFBEwTMlJUUNGzaMUlcAAABwIovoAvI9e/bUn3/+qeXLl0elM1xAHiej7Jw8tXhstiRp3fCLlJoclYtNxJWS3EbPtlc80l3tnppXIv2wwXNbpfjZ3qL9OhHH3p+T4RhHYSf6Pi+xC8g//PDDWrlypWbOnBlJNQAAADgJRBTBmzRpokceeUR9+vTRXXfdpcsuu0z169dXQoL3PFu/fv1ImgMAAEApFlHwbNiwoVwul4wxeuGFF/TCCy/4LOtyuZSXlxdJcwAAACjFIgqe9evXl8vlilZfAAAAcAKLKHhu3bo1St0AAADAiS6iLxcBAAAAwYroFc9t27aFVJ4vFwEAAJy8ovLlomDw5SIAAICTW0y+XJSfn69ffvnFCZoNGjSIpBkAAACcACK6c5E/eXl5mjVrlv72t7/p/PPP17hx4wKuY/PORXnHjaZn7pYkXdImXTNX7ZEkXd6+hhLLxO6b+sG061nGW38iXR7Nbbi8fQ1JCro9X30Ltc/++uA5rsGMcdEynnW5RXscPdv31m4s2/M1DuG0G8pciPW8tMHXvIl0nsV6/wezPSW9T6LZl2DPDyW1zdE6D8a6PzbaczuRt9df21JwczOejlUpsrwWs3s4JSYm6rLLLlO9evXUoUMHderUSUOGDIlVcwAAAIhzMf9We6tWrdSuXTu98cYbsW4KAAAAcczK5ZTq1q2rH3/80UZTAAAAiFMxD57GGH333XdKSkqKdVMAAACIYzENnr///ruGDh2qjRs3qlOnTrFsCgAAAHEuoi8XNW7c2OeygwcPat++fTLGKDk5WU8++WQkTQEAAKCUi+m92pOTk9W1a1c99dRT6tChQyRNAQAAoJSLKHhu2bLF57Lk5GSlp6crMTFmV2wCAABAKRKzC8iHw+YF5COVe/SoXhrQV5J01zsfKiklxeuyoWMm6fUhN3otF6ieaPUh1HrDEev2bG9PNPoQ7fLB1BfOOIWyTrBlo7m/YrnvY3X8xWr9aM2BSM8doZzjItnmWI5xSey/WNYTqzpjcX4IpWxpOZfEQjz3N5K8ZuVySgAAAADBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGDFSX3novzsbG1o01aSlLFqpRJSU70+Fst23ZouXqSN53QJui/h9rPoepL81uOtr57lii731XfPdrxta7yI9f63Pb+CbSMa/bKxbaGKxz6dTOJp/AOdy/yVj3XfY9VWqOf7aLXl5u95y1eZSNoNVFc8zUc3m/somrhzEQAAAOIewRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWnNQXkJfCu3irr4vQxuPFaeEf+yz+5O3d69xgoMncOdrU40JJ7J/ShOMKOLFxAXkAAADEPYInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwIqT/s5FAADgJJBzWBpZp+D3Ybuk5PIl259SjDsXAQAAIO4RPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGDFSR8887Oztb5Zc61v1lx5e/c6v+dnZwe1jrdygZZH0sdo1BeLukOtx7N8NMY8Gv2LZBuivV8QHUX3UTzus6LHQijnFFvbY6Md2+dVb/UG+xwQSRuB6o3HORoKG+MZtuTy0hP7C36KXDze5jFWUnM9Xpz0wRMAAAB2EDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVriMMaakO+F24MABVapUSfv371daWlpJdydkx3NztXTiGElSp/5DVCYpye9ySX7Ll0Qfw62rqEjq9tZHX2217zdIme+ND7tNz3ojrctf3cHMh1CX+yrjbayiNb+iOX+K1uc5/m7etinac8vbMrf2/QYpOTU1rLaCbTdWSqLNcAW7X3zN8UDbF+tzb6j9Ka2CnVOhzr14nKuB5l0szqnB1BsvYxVJXuMVTwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVXEA+RnKPHdeYuxdKkob8p5uSypaxuj5QWjH3Szdf+4/9Wrp47i/p//YZ+xESF5AHAABAKUDwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFjBnYsilJ2TpxaPzZYkrRt+kVKTE4Mqu+KR7mr31Lxiv4dSR6CysdiO3w8dLdTv6hVSwqozVtsB/0Id91jvp2jVz3wKDeMFhI/jhzsXAQAAoBQgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKLiAPAKXE8ePZWrCwpSTpvG5rVKZMalzUhdAFM/4luY8ibZv5dWLjAvIAAACIewRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBXcuShG8rOztaFNW0lSxqqVSkgN/a4N0ajDZnu2+wsEK9DcZO6efMLd58wV7070cTnRty9U3LkIAAAAcY/gCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACu4gPz/Z/LydWzO95KksheeLldigtfHbLZ/IjnRtw/REek88bV+Sc4/z7bdki9orpz560u8P2UvPF2Sojo2wY51PJwTYt2HUJ9XYtGfUOqMh30SLYG2JZhzRbjH6Yk0jr5wAXkAAADEPYInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAruXBSh7Jw8tXhstiRp3fCLlJqcWMI9Cqw09Lk09BEAgJMRdy4CAABA3CN4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAouIH8iyc2Vxr1d8PvgW6SkpPDKhFM2UpG0Feq64bYVi/Gw1XfYwz5CSc8Bb+3761Ow/bWxXSU9dsGK5vNIadlmD1xAHgAAAHGP4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwgjsXIaaOHz+uzMxMSVL79u1VpkyZoJcXXSbJb104sQSaO0A4POeVm7/5xTxESc2BeJ573LkIAAAAcY/gCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAKwieAAAAsILgCQAAACu4gDyi6vDx42ry1RpJ0ppzTlfLxd9LkjZ1banyZcoUWu5+rOh6no97q9fb8nD7E+/C3e5Yt110mSSv4+xvzL3V7/lYsCIZl2DHN5T9EOt9Fsp+idc5Hux5QFLQc6RoeV+PeS4Ldj/6ayeYcQ4010N9LNS2olHWX3mb8y6a4xGPzw/x2CdvuIA8AAAA4h7BEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGDFSX3nouycPLV4bLYkad3wi5SanBjV8og9z30ixW6/hLLvA5X1XL7ike5q99S8kPvOXIwPsdgPnJfsKzqGkgqdV9yP2xjboue0WLbta+4wp2InlOeHeB577lwEAACAuEfwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUn9QXkI5Wdm62OkztKkpZdv0ypSakl3CMAODFwfgXiFxeQBwAAQNwjeAIAAMAKgicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACs4M5FpUHOYWlknYLfh+2Sksvbqdfbcs/H7vtJGnVq9PsVqWiOV6h1BVs+Vvs0mLpLoo/RqCuUOnyVDbcf0RrTSNoIdx3PMp6G7Sr4198xHmyZQOMb7Hkj0DknmP4HGpdQxyyY81ygfvvrayj9ioWSajfU9g/t+b/94E2g/e9rn3pbP9S+BVM+2GNGCr4Of2VjjDsXAQAAIO4RPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFF5CPspycHI0cOVKSNGzYMCUnJ0e9Tkk+2/DWvr/177vvPo0aNSqq/QVw8orFOTBS8dinaCjp7Srp9lFyuIA8AAAA4h7BEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFdy6SdDwvX8s+/0GS1LFXM0kq9P8yiQnFypRJ9J/ZPcu3u+g0rZj9Y8B1Q20jGoLZdlv8bX9JjE0g8dgnmyLd/lDWD1Q22vuipPZtadqOE2n+hzK//An3+eNEGstY8bcPgt1nnuVisU8CtRkN8TJXuHMRAAAA4h7BEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFZwAflSKCcnRyNHjpQkDRs2TMnJySXco8BKY5/DYWs7fbVT9HFJQfUnUL89l0vSfffdp1GjRgWsNxZC6Ws0+xZMvbbnebTbi2X/wx2/cPsUzbrCaSuScjb7ZLuueGgn3pWGceAC8gAAAIh7BE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEAACAFdy5SFJufr4mbfpVknRjk1pKSvCdxz3LXteoht7fsrvY7551eJYPpn5fbXkKpY5g6vZXXyhjE8k6iB1v+8PXPgq07/wt9zZfQ2nP1zEUaHskBd2nkpiPkYxpOPXFsq+xVlLtB5qHwR5D4R5XkfY51HN4MOsGe6x7qzPYYznSNqOtpOd/acKdiwAAABD3CJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwggvIx8rxHOnLxwt+P/9JqUxybNZB/GD/IVLModixMbZF25Ds7c8Tee6cyNtWSnEBeQAAAMQ9gicAAACsIHgCAADACoInAAAArCB4AgAAwAqCJwAAAKwgeAIAAMAKgicAAACsIHgCAADACu5cFIHjefla9vkPkqSOvZqpTGJ0cry/eoNps2gZSWHXF2lfgq0rGuVLi1hsl2ed7S46TStm/xiw/nD64W0dz8e88VYu3LkUqH3PdUN9PBiRHC+hitb+Cae+eDv2otX3WI9BuPV7HrNu8Tbubu0uOk1lEhOCOua91RPKdoW7Xs7RvGLjGWodoYrkHBartmKJOxcBAAAg7hE8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAUXkC/FTF6+js35XpJU9sLT5YrBRWSLtiEp5m0G0w9XYoKV7S+NPMcl+YLmypm/XpK9OcJ+QEkKdj7anre+2gvUj0j7Gavt5LiPnaJja47nO+dxTyX5nMwF5AEAABD3CJ4AAACwguAJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAK7hzEWLveI705eMFv5//pFQmuWT7AwAlzfZ5MdT2PMtLUtd/SskVSr5fiAvcuQgAAABxj+AJAAAAKwieAAAAsILgCQAAACsIngAAALCC4AkAAAArCJ4AAACwguAJAAAAK7iAPACUYjk5ORo5cqQkadiwYUpO5gLcJ7N4nA/x2CdEhgvIAwAAIO4RPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWcOciAAAABI07FwEAACDuETwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgBcETAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGAFwRMAAABWEDwBAABgRWJJd8CTMUaSdODAgRLuCQAAALxx5zR3bgtFXAXPgwcPSpLq1atXwj0BAACAPwcPHlSlSpVCWsdlwomrMZKfn69du3apYsWKcrlc1ts/cOCA6tWrp+3btystLc16+/GMsfGOcfGOcfGNsfGOcfGNsfGOcfEt1mNjjNHBgwdVp04dJSSE9qnNuHrFMyEhQaecckpJd0NpaWlMYh8YG+8YF+8YF98YG+8YF98YG+8YF99iOTahvtLpxpeLAAAAYAXBEwAAAFYQPD2ULVtWjz/+uMqWLVvSXYk7jI13jIt3jItvjI13jItvjI13jItv8Tw2cfXlIgAAAJy4eMUTAAAAVhA8AQAAYAXBEwAAAFYQPAEAAGBFqQieX331lS6//HLVqVNHLpdLH3/8caHlAwcOlMvlKvRz8cUXFyrz448/qnfv3qpevbrS0tLUpUsXffnll4XKFK3D5XLp/fff99mvBQsWeF3H5XIpMzNTkrR161avy5cuXVpqxkWSJkyYoDPPPFMpKSmqUaOG7rjjDr99O3r0qO644w5Vq1ZNFSpU0NVXX63ffvutUJlt27apV69eSk1NVY0aNXT//fcrLy8vvMEoIl7HZt++ffrb3/6mjIwMlStXTvXr19ddd92l/fv3FyoX6lwMVryOiySdd955xdq+7bbbCpU5GeeMr3OIy+XSBx984JQrzXNmwoQJPrdx9+7dPvu2b98+3XDDDUpLS1PlypV1880369ChQ4XKfPfddzr33HOVkpKievXq6bnnnot4TNzidWy2bt2qm2++WY0aNVK5cuXUpEkTPf7448rJySlUpjQ/N4U7Zxo2bFis/DPPPFOozMk4Z2zmmbi6c5Evhw8fVqtWrTR48GBdddVVXstcfPHFGj9+vPP/opcQuOyyy9S0aVPNnz9f5cqV07///W9ddtll2rRpk2rVquWUGz9+fKGdXLlyZZ/9Ovvss/XLL78UeuzRRx/VvHnz1K5du0KPz507V6effrrz/2rVqvne4CDZGpfRo0frhRde0PPPP6+OHTvq8OHD2rp1q9++3XPPPfr888/1wQcfqFKlSrrzzjt11VVXafHixZKk48ePq1evXqpVq5a++eYb/fLLL+rfv7+SkpI0cuTICEalQLyOza5du7Rr1y6NGjVKLVq00M8//6zbbrtNu3bt0ocffliobChzMVjxOi5ut956q4YPH+78PzU11fn9ZJ0z9erVK3aeGTNmjJ5//nldcsklhR4vrXPm2muvLfbkOnDgQB09elQ1atTw2bcbbrhBv/zyi+bMmaPc3FwNGjRIQ4YM0eTJkyUV3DawZ8+e6tGjh9544w2tWbNGgwcPVuXKlTVkyJBwh8QRr2Pzww8/KD8/X2+++aZOPfVUrV27VrfeeqsOHz6sUaNGFSpbWp+bwp0zkjR8+HDdeuutzv8rVqzo/H6yzhmrecaUMpLMRx99VOixAQMGmN69e/tcZ8+ePUaS+eqrr5zHDhw4YCSZOXPm+K07FDk5OSY9Pd0MHz7ceWzLli1Gklm9enXY9QYjVuOyb98+U65cOTN37tyg+/Lnn3+apKQk88EHHziPrV+/3kgyS5YsMcYYM2PGDJOQkGB+/fVXp8zrr79u0tLSzLFjx4JuKxjxNDbeTJkyxSQnJ5vc3Fy/fY62eBuXbt26mbvvvtvncubM/2ndurUZPHhwwD5HWyzPv552795tkpKSzMSJE33Wu27dOiPJZGZmOo/NnDnTuFwus3PnTmOMMa+99pqpUqVKofnx4IMPmoyMDH+bGZZ4GhtvnnvuOdOoUSPn/6X9uamoYMelQYMG5sUXX/S5nDlTIJZ5plS81R6MBQsWqEaNGsrIyNDQoUO1d+9eZ1m1atWUkZGhiRMn6vDhw8rLy9Obb76pGjVqqG3btoXqueOOO1S9enV16NBB48aNkwnhMqeffvqp9u7dq0GDBhVbdsUVV6hGjRrq0qWLPv300/A3NESRjsucOXOUn5+vnTt3qnnz5jrllFP0l7/8Rdu3b/fZ5sqVK5Wbm6sePXo4jzVr1kz169fXkiVLJElLlixRy5YtVbNmTafMRRddpAMHDuj777+P9jB4VRJj483+/fuVlpamxMTCb0BEMhcjUZLj8u6776p69eo644wz9PDDDys7O9tZxpwpsHLlSmVlZenmm28utqy0zpmiJk6cqNTUVPXt29dnm0uWLFHlypULvRrTo0cPJSQkaNmyZU6Zrl27Kjk52Slz0UUXacOGDfrjjz8i3eyglMTYeLN//35VrVq12OOl9bmpqFDG5ZlnnlG1atV01lln6fnnny/0cR3mTIGY5pmIYmsJkJe/EN577z3zySefmO+++8589NFHpnnz5qZ9+/YmLy/PKbN9+3bTtm1b43K5TJkyZUzt2rXNqlWrCtUzfPhws2jRIrNq1SrzzDPPmLJly5r//Oc/QfftkksuMZdcckmhx/bs2WNeeOEFs3TpUrN8+XLz4IMPGpfLZT755JPQN96PWI3L008/bZKSkkxGRoaZNWuWWbJkienevbvJyMjw+SrTu+++a5KTk4s93r59e/PAAw8YY4y59dZbTc+ePQstP3z4sJFkZsyYEe4weBVPY1PUnj17TP369c2wYcMKPR7pXAxGvI3Lm2++aWbNmmW+++47M2nSJFO3bl3Tp08fZzlzpsDQoUNN8+bNiz1emudMUc2bNzdDhw7125cRI0aY0047rdjj6enp5rXXXjPGGHPhhReaIUOGFFr+/fffG0lm3bp1gTY3JPE0NkVt3LjRpKWlmTFjxjiPlfbnpqKCHZcXXnjBfPnll+bbb781r7/+uqlcubK55557nOXMmQKxzDMnRPAsatOmTUaS83ZWfn6+ueKKK8wll1xiFi1aZFauXGmGDh1q6tata3bt2uWznkcffdSccsopQfVr+/btJiEhwXz44YcBy950002mS5cuQdUbrFiNy4gRI4wkM3v2bKee3bt3m4SEBDNr1iyv7ZSG4FmUrbHxtH//ftOhQwdz8cUXm5ycHL9lQ5mLwYrXcXGbN2+ekWR++uknYwxzxhhjsrOzTaVKlcyoUaMCli1Nc8bTN998YySZFStW+G2nNATPomyNjacdO3aYJk2amJtvvjlg2dL03OQpnHFxGzt2rElMTDRHjx41xjBnjIl9njkhg6cxxlSvXt288cYbxhhj5s6daxISEsz+/fsLlTn11FPN008/7bOOzz77zEhyJqQ/w4cPN+np6QEDhDHGvPLKK6ZWrVoBy4UiVuMybtw4I8ls3769UJkaNWoU+uvZkzsw/PHHH4Uer1+/vhk9erQxpuBJsVWrVoWWb9682Ujy+5dbOOJpbNwOHDhgOnfubLp3726OHDkSsG+hzMVgxeO4eDp06JCR5ASyk33OGGPMxIkTTVJSktm9e3fAsqVpzngaPHiwad26dcA2xo4daypXrlzosdzcXFOmTBkzbdo0Y0zBk2LRz8vNnz/fSDL79u0L2EYo4mls3Hbu3GmaNm1qbrrpJnP8+PGA5UvTc5OnUMfF09q1a40k88MPPxhjmDPGxD7PnDCf8fS0Y8cO7d27V7Vr15Yk53NiCQmFNzchIUH5+fk+68nKylKVKlWKfaOsKGOMxo8f73zDNpCsrCynbzaFMy7nnHOOJGnDhg3O8n379un3339XgwYNvLbTtm1bJSUlad68ec5jGzZs0LZt29S5c2dJUufOnbVmzZpCl3aYM2eO0tLS1KJFi0g3NWS2xkb6v29NJicn69NPP1VKSkrA/gU7F6PN5rgUlZWVJUlO2yfznHEbO3asrrjiCqWnpwcsW5rmjNuhQ4c0ZcoUr59fLapz5876888/tXLlSuex+fPnKz8/Xx07dnTKfPXVV8rNzXXKzJkzRxkZGapSpUp4GxgBW2MjSTt37tR5552ntm3bavz48cXa8KY0PTe5hTouRWVlZSkhIcH5tvfJPGckS3kmpJhaQg4ePGhWr15tVq9ebSSZ0aNHm9WrV5uff/7ZHDx40Nx3331myZIlZsuWLWbu3LmmTZs2pmnTps5f+nv27DHVqlUzV111lcnKyjIbNmww9913n0lKSjJZWVnGGGM+/fRT89Zbb5k1a9aYjRs3mtdee82kpqaaxx57zOnHsmXLTEZGhtmxY0eh/s2dO9dIMuvXry/W9wkTJpjJkyeb9evXm/Xr15sRI0aYhIQEM27cuFIxLsYY07t3b3P66aebxYsXmzVr1pjLLrvMtGjRwvlraMeOHSYjI8MsW7bMWee2224z9evXN/PnzzcrVqwwnTt3Np07d3aW5+XlmTPOOMP07NnTZGVlmVmzZpn09HTz8MMPRzwu8Tw2+/fvNx07djQtW7Y0P/30k/nll1+cH/dneIKZiyfauPz0009m+PDhZsWKFWbLli3mk08+MY0bNzZdu3Z16jxZ54zbxo0bjcvlMjNnzizW9xNhzhhjzNtvv21SUlKKvVtijPfz78UXX2zOOusss2zZMrNo0SLTtGlT069fP2f5n3/+aWrWrGluuukms3btWvP++++b1NRU8+abb0Y8LvE8Njt27DCnnnqq6d69u9mxY0eh84zbifDcFOq4fPPNN+bFF180WVlZZtOmTWbSpEkmPT3d9O/f31nnZJ0zbjbyTKkInl9++aWRVOxnwIABJjs72/Ts2dOkp6ebpKQk06BBA3PrrbcWuuSKMcZkZmaanj17mqpVq5qKFSuaTp06Ffpc2MyZM03r1q1NhQoVTPny5U2rVq3MG2+8UejtCXc/tmzZUqjufv36mbPPPttr3ydMmGCaN29uUlNTTVpamunQoUOhywzF+7gYUxCWBg8ebCpXrmyqVq1q+vTpY7Zt2+Ysd19i4csvv3QeO3LkiLn99ttNlSpVTGpqqunTp0+hk54xxmzdutVccsklply5cqZ69erm3nvvLXRJoRNxbHz1y3NeBTMXT7Rx2bZtm+nataupWrWqKVu2rDn11FPN/fffX+ztpJNxzrg9/PDDpl69el7nwYkwZ4wxpnPnzub666/32w/P8+/evXtNv379TIUKFUxaWpoZNGiQOXjwYKH1vv32W9OlSxdTtmxZU7duXfPMM89EPCZF+xRvYzN+/Hif5xm3E+G5KdRxWblypenYsaOpVKmSSUlJMc2bNzcjR44s9nGUk3HOuNnIMy5jLF1vAwAAACe1E/IzngAAAIg/BE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABYQfAEcMLaunWrXC6XGjZsWNJdiVh+fr7atWunWrVq6fDhw2HXM2nSJLlcLr322mtR7B0ABIfgCaDUatiwoVwul7Zu3VrSXYm5sWPHauXKlXr00UdVvnz5sOu5/vrr1bJlSz366KPat29fFHsIAIERPAGcsOrWrav169dr3rx5Jd2ViBw5ckT//Oc/VadOHQ0ZMiSiuhISEvT4449r3759euqpp6LUQwAIDsETwAkrKSlJzZo1U5MmTUq6KxGZNGmS9uzZo/79+yspKSni+q644gqlp6dr7NixOnToUBR6CADBIXgCKHUmTJggl8uln3/+WZLUqFEjuVwu52fBggWS/H/G011WKgh2HTp0UIUKFZSenq5+/fpp27ZtkiRjjF555RW1bt1a5cuXV/Xq1TVw4EDt3r3bZ/9+/PFH/fWvf1WTJk2UkpKiSpUqqWvXrpo0aVJY2/vKK69IkgYOHOh1+caNGzV48GA1atRIZcuWVYUKFdSgQQP16tVL48ePL1Y+KSlJ119/vQ4cOKD//ve/YfUJAMLhMsaYku4EAIRi0aJFevvtt/Xhhx/q8OHDuvrqq1WhQgVn+UMPPaRmzZpp69atatSokRo0aFDsc6Du0PnQQw9p1KhR6tq1q6pWrarly5dr27Ztqlevnr799lvddttt+vTTT3XeeeepXLlyWrx4sXbv3q0zzzxTmZmZSk5OLlTvBx98oP79++vo0aNq1qyZmjdvrv3792vZsmU6fPiwBg0apHHjxgW9rVu2bFHjxo11yimnaPv27cWWr127Vuecc44OHDigjIwMnX766SpTpox27NihNWvWqEmTJsrKyiq23ueff67LLrtMPXv21OzZs4PuDwBExABAKdWgQQMjyWzZssXr8i1bthhJpkGDBsWWSTKSTLVq1UxWVpbzeHZ2tunSpYuRZFq2bGmaNGlitm7d6izfs2ePOfXUU40kM2nSpEJ1fvfdd6Zs2bImJSXFTJ06tdCyrVu3mpYtWxpJ5p133gl6G99++20jyVxzzTVelw8aNMhIMk899VSxZdnZ2WbhwoVe19u7d69xuVwmNTXVHDt2LOj+AEAkeKsdwElt+PDhatWqlfP/cuXK6R//+Ickac2aNXrppZfUoEEDZ3n16tU1dOhQSSr2paURI0bo2LFjeuqpp3TVVVcVWtagQQONHTtWkvTSSy8F3b/Vq1dLkpo3b+51+W+//SZJuvTSS4stK1eunLp27ep1vapVq6pWrVrKzs7WDz/8EHR/ACASBE8AJzVvga1p06aSpMTERPXs2dPn8l27djmP5efna+bMmZKka6+91mtb7dq1U4UKFbR69WodPXo0qP65g2W1atW8Lu/QoYMkaejQoZo9e3bQ9XrW6W4DAGKN4AngpFa/fv1ij7k/L1q7dm0lJiYWW16xYkVJKhTy9u7dqwMHDkiS6tWrV+jLTu6fhIQEHTp0SPn5+dq7d29Q/du/f78kKS0tzevy+++/Xz169NCyZct08cUXKy0tTe3bt9e9996rzMxMv3W76/zjjz+C6gsARKr4GRUATiIJCb7//va3rKj8/Hzn9wEDBgQsX7Zs2aDqrVy5siQ5obao1NRUzZkzR5mZmZo1a5a++eYbffPNN1qxYoVGjx6t22+/Xa+++qrXdd2htkqVKkH1BQAiRfAEgCioXr26ypUrpyNHjmjUqFGqXr16VOqtUaOGJAV8hbR9+/Zq3769JCkvL08ff/yx+vfvr9dee019+/bV+eefX2wdd501a9aMSl8BIBDeagdQarkvZZSXl1fCPZHKlCmjCy+8UJI0ZcqUqNXbpk0bSdK6deuCXicxMVF9+/bVRRddJEleL6e0d+9e/frrr0pNTfX5xSUAiDaCJ4BS65RTTpEkff/99yXckwKPP/64kpOTdf/99+udd94p9Pa729q1azVt2rSg63S/UrlkyRKvy1977TVt2LCh2OO//vqrVqxYIUmFvpXv9s0330iSunTpEpW7IQFAMAieAEqtq6++WpJ044036uqrr9Ytt9yiW265xWsQs6FNmzbO3YkGDhyoBg0a6KKLLtKNN96oSy+9VPXq1VPLli1DekW0UaNGOvPMM7Vz506tX7++2PIxY8aoWbNmaty4sa644grdeOONuuiii9S4cWPt2LFDF1xwga644opi682dO1eSdOWVV4a3sQAQBj7jCaDUGjp0qA4ePKhJkyZpxowZzrfMb7zxRmVkZJRIn6655hq1b99eL730kubMmaPFixfr+PHjqlmzpk499VTdeeed6tu3b0h13nnnnRoyZIgmTJigZ599ttCyESNG6PPPP9fSpUu1dOlS7d+/XzVq1FDHjh01aNAg9evXr9g383NzczV58mSlpaXppptuinibASBY3DITAOJcdna2GjZsqMTERG3durXYbTpDNXXqVPXt21f33HOPRo8eHaVeAkBgvNUOAHEuNTVVI0aM0C+//KIxY8ZEVFd+fr6efPJJVa1aVY888kiUeggAweEVTwAoBfLz89WhQwft2LFDmzZtUvny5cOqZ9KkSbrpppv06quv6vbbb49yLwHAP4InAAAArOCtdgAAAFhB8AQAAIAVBE8AAABYQfAEAACAFQRPAAAAWEHwBAAAgBUETwAAAFhB8AQAAIAVBE8AAABY8f8A8rrNjE4WKrEAAAAASUVORK5CYII=\n", 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    " ] @@ -3648,10 +3648,10 @@ "id": "b1bfb6b1", "metadata": { "papermill": { - "duration": 0.058133, - "end_time": "2022-12-09T22:13:45.101512", + "duration": 0.083057, + "end_time": "2022-12-13T23:09:38.219303", "exception": false, - "start_time": "2022-12-09T22:13:45.043379", + "start_time": "2022-12-13T23:09:38.136246", "status": "completed" }, "tags": [] @@ -3666,16 +3666,16 @@ "id": "5b1096d1", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:13:45.224274Z", - "iopub.status.busy": "2022-12-09T22:13:45.223595Z", - "iopub.status.idle": "2022-12-09T22:13:48.225787Z", - "shell.execute_reply": "2022-12-09T22:13:48.224777Z" + "iopub.execute_input": "2022-12-13T23:09:38.388904Z", + "iopub.status.busy": "2022-12-13T23:09:38.388210Z", + "iopub.status.idle": "2022-12-13T23:09:40.319308Z", + "shell.execute_reply": "2022-12-13T23:09:40.317888Z" }, "papermill": { - "duration": 3.066536, - "end_time": "2022-12-09T22:13:48.228370", + "duration": 2.018059, + "end_time": "2022-12-13T23:09:40.321378", "exception": false, - "start_time": "2022-12-09T22:13:45.161834", + "start_time": "2022-12-13T23:09:38.303319", "status": "completed" }, "tags": [] @@ -3954,10 +3954,10 @@ "id": "b86845dd", "metadata": { "papermill": { - "duration": 0.058545, - "end_time": "2022-12-09T22:13:48.346075", + "duration": 0.083771, + "end_time": "2022-12-13T23:09:40.501973", "exception": false, - "start_time": "2022-12-09T22:13:48.287530", + "start_time": "2022-12-13T23:09:40.418202", "status": "completed" }, "tags": [] @@ -3972,16 +3972,16 @@ "id": "3d6b45d3", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:13:48.465707Z", - "iopub.status.busy": "2022-12-09T22:13:48.465013Z", - "iopub.status.idle": "2022-12-09T22:13:48.560407Z", - "shell.execute_reply": "2022-12-09T22:13:48.559431Z" + "iopub.execute_input": "2022-12-13T23:09:40.672511Z", + "iopub.status.busy": "2022-12-13T23:09:40.671703Z", + "iopub.status.idle": "2022-12-13T23:09:40.732847Z", + "shell.execute_reply": "2022-12-13T23:09:40.732052Z" }, "papermill": { - "duration": 0.158043, - "end_time": "2022-12-09T22:13:48.563469", + "duration": 0.149888, + "end_time": "2022-12-13T23:09:40.735453", "exception": false, - "start_time": "2022-12-09T22:13:48.405426", + "start_time": "2022-12-13T23:09:40.585565", "status": "completed" }, "tags": [] @@ -4233,10 +4233,10 @@ "id": "7effe272", "metadata": { "papermill": { - "duration": 0.055185, - "end_time": "2022-12-09T22:13:48.679479", + "duration": 0.086892, + "end_time": "2022-12-13T23:09:40.909195", "exception": false, - "start_time": "2022-12-09T22:13:48.624294", + "start_time": "2022-12-13T23:09:40.822303", "status": "completed" }, "tags": [] @@ -4253,16 +4253,16 @@ "id": "6791a12f", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:13:48.795233Z", - "iopub.status.busy": "2022-12-09T22:13:48.794610Z", - "iopub.status.idle": "2022-12-09T22:13:50.839591Z", - "shell.execute_reply": "2022-12-09T22:13:50.838577Z" + "iopub.execute_input": "2022-12-13T23:09:41.080022Z", + "iopub.status.busy": "2022-12-13T23:09:41.079320Z", + "iopub.status.idle": "2022-12-13T23:09:42.853778Z", + "shell.execute_reply": "2022-12-13T23:09:42.853054Z" }, "papermill": { - "duration": 2.106276, - "end_time": "2022-12-09T22:13:50.841820", + "duration": 1.862261, + "end_time": "2022-12-13T23:09:42.855572", "exception": false, - "start_time": "2022-12-09T22:13:48.735544", + "start_time": "2022-12-13T23:09:40.993311", "status": "completed" }, "tags": [] @@ -4681,7 +4681,7 @@ "Coordinates:\n", " * stimulus_presentation_id (stimulus_presentation_id) int64 3647 .....\n", " * time_relative_to_stimulus_onset (time_relative_to_stimulus_onset) float64 ...\n", - " * unit_id (unit_id) int64 951814884 ... 951814312
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    \n", @@ -6669,9 +6669,9 @@ " /* Instantiate the Animation class. */\n", " /* The IDs given should match those used in the template above. */\n", " (function() {\n", - " var img_id = \"_anim_imgf0cab82d6ccd42f6aad3f5e1a6f4ed19\";\n", - " var slider_id = \"_anim_sliderf0cab82d6ccd42f6aad3f5e1a6f4ed19\";\n", - " var loop_select_id = \"_anim_loop_selectf0cab82d6ccd42f6aad3f5e1a6f4ed19\";\n", + " var img_id = \"_anim_imgd739b383616e4cd68985bf0e80ed241d\";\n", + " var slider_id = \"_anim_sliderd739b383616e4cd68985bf0e80ed241d\";\n", + " var loop_select_id = \"_anim_loop_selectd739b383616e4cd68985bf0e80ed241d\";\n", " var frames = new Array(500);\n", " \n", " frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n", @@ -150068,7 +150068,7 @@ " /* set a timeout to make sure all the above elements are created before\n", " the object is initialized. */\n", " setTimeout(function() {\n", - " animf0cab82d6ccd42f6aad3f5e1a6f4ed19 = new Animation(frames, img_id, slider_id, 33.0,\n", + " animd739b383616e4cd68985bf0e80ed241d = new Animation(frames, img_id, slider_id, 33.0,\n", " loop_select_id);\n", " }, 0);\n", " })()\n", @@ -150094,10 +150094,10 @@ "id": "4955d182", "metadata": { "papermill": { - "duration": 0.369367, - "end_time": "2022-12-09T22:15:12.452472", + "duration": 0.357402, + "end_time": "2022-12-13T23:10:41.646499", "exception": false, - "start_time": "2022-12-09T22:15:12.083105", + "start_time": "2022-12-13T23:10:41.289097", "status": "completed" }, "tags": [] @@ -150112,16 +150112,16 @@ "id": "a2f8ad04", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:13.183825Z", - "iopub.status.busy": "2022-12-09T22:15:13.183011Z", - "iopub.status.idle": "2022-12-09T22:15:14.577093Z", - "shell.execute_reply": "2022-12-09T22:15:14.575905Z" + "iopub.execute_input": "2022-12-13T23:10:42.358436Z", + "iopub.status.busy": "2022-12-13T23:10:42.357625Z", + "iopub.status.idle": "2022-12-13T23:10:43.245687Z", + "shell.execute_reply": "2022-12-13T23:10:43.244985Z" }, "papermill": { - "duration": 1.753632, - "end_time": "2022-12-09T22:15:14.579340", + "duration": 1.246845, + "end_time": "2022-12-13T23:10:43.247685", "exception": false, - "start_time": "2022-12-09T22:15:12.825708", + "start_time": "2022-12-13T23:10:42.000840", "status": "completed" }, "tags": [] @@ -150346,16 +150346,16 @@ "id": "7ba5a498", "metadata": { "execution": { - 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"iopub.execute_input": "2022-12-09T22:15:19.781145Z", - "iopub.status.busy": "2022-12-09T22:15:19.780055Z", - "iopub.status.idle": "2022-12-09T22:15:19.795454Z", - "shell.execute_reply": "2022-12-09T22:15:19.794517Z" + "iopub.execute_input": "2022-12-13T23:10:45.837587Z", + "iopub.status.busy": "2022-12-13T23:10:45.836603Z", + "iopub.status.idle": "2022-12-13T23:10:45.847143Z", + "shell.execute_reply": "2022-12-13T23:10:45.846612Z" }, "papermill": { - "duration": 0.361458, - "end_time": "2022-12-09T22:15:19.797636", + "duration": 0.379063, + "end_time": "2022-12-13T23:10:45.848618", "exception": false, - "start_time": "2022-12-09T22:15:19.436178", + "start_time": "2022-12-13T23:10:45.469555", "status": "completed" }, "tags": [] @@ -150532,16 +150532,16 @@ "id": "6a9af9c4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:20.465882Z", - "iopub.status.busy": "2022-12-09T22:15:20.465211Z", - "iopub.status.idle": "2022-12-09T22:15:20.473473Z", - "shell.execute_reply": "2022-12-09T22:15:20.472504Z" + "iopub.execute_input": "2022-12-13T23:10:46.557765Z", + "iopub.status.busy": "2022-12-13T23:10:46.557137Z", + "iopub.status.idle": "2022-12-13T23:10:46.561506Z", + "shell.execute_reply": "2022-12-13T23:10:46.560891Z" }, "papermill": { - "duration": 0.34296, - "end_time": "2022-12-09T22:15:20.476102", + "duration": 0.362506, + "end_time": "2022-12-13T23:10:46.562979", "exception": false, - "start_time": "2022-12-09T22:15:20.133142", + "start_time": "2022-12-13T23:10:46.200473", "status": "completed" }, "scrolled": false, @@ -150563,10 +150563,10 @@ "id": "bbc37d2a", "metadata": { "papermill": { - "duration": 0.348427, - "end_time": "2022-12-09T22:15:21.161861", + "duration": 0.353155, + "end_time": "2022-12-13T23:10:47.267443", "exception": false, - "start_time": "2022-12-09T22:15:20.813434", + "start_time": "2022-12-13T23:10:46.914288", "status": "completed" }, "tags": [] @@ -150581,16 +150581,16 @@ "id": "61a89971", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:21.871143Z", - "iopub.status.busy": "2022-12-09T22:15:21.870009Z", - "iopub.status.idle": "2022-12-09T22:15:21.922112Z", - "shell.execute_reply": "2022-12-09T22:15:21.921198Z" + "iopub.execute_input": "2022-12-13T23:10:47.974316Z", + "iopub.status.busy": "2022-12-13T23:10:47.973534Z", + "iopub.status.idle": "2022-12-13T23:10:47.993545Z", + "shell.execute_reply": "2022-12-13T23:10:47.992823Z" }, "papermill": { - "duration": 0.409162, - "end_time": "2022-12-09T22:15:21.924441", + "duration": 0.376244, + "end_time": "2022-12-13T23:10:47.995210", "exception": false, - "start_time": "2022-12-09T22:15:21.515279", + "start_time": "2022-12-13T23:10:47.618966", "status": "completed" }, "tags": [] @@ -150628,16 +150628,16 @@ "id": "cac48fda", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:22.696906Z", - "iopub.status.busy": "2022-12-09T22:15:22.696446Z", - "iopub.status.idle": "2022-12-09T22:15:22.765079Z", - "shell.execute_reply": "2022-12-09T22:15:22.763996Z" + "iopub.execute_input": "2022-12-13T23:10:48.704591Z", + "iopub.status.busy": "2022-12-13T23:10:48.703786Z", + "iopub.status.idle": "2022-12-13T23:10:48.758035Z", + "shell.execute_reply": "2022-12-13T23:10:48.757296Z" }, "papermill": { - "duration": 0.454878, - "end_time": "2022-12-09T22:15:22.767787", + "duration": 0.412682, + "end_time": "2022-12-13T23:10:48.759741", "exception": false, - "start_time": "2022-12-09T22:15:22.312909", + "start_time": "2022-12-13T23:10:48.347059", "status": "completed" }, "tags": [] @@ -150686,10 +150686,10 @@ "id": "b1f5fd6d", "metadata": { "papermill": { - "duration": 0.360192, - "end_time": "2022-12-09T22:15:23.492430", + "duration": 0.356554, + "end_time": "2022-12-13T23:10:49.479890", "exception": false, - "start_time": "2022-12-09T22:15:23.132238", + "start_time": "2022-12-13T23:10:49.123336", "status": "completed" }, "tags": [] @@ -150706,19 +150706,19 @@ "id": "64903ea4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:24.202878Z", - "iopub.status.busy": "2022-12-09T22:15:24.201398Z", - "iopub.status.idle": "2022-12-09T22:15:24.211262Z", - "shell.execute_reply": "2022-12-09T22:15:24.210380Z" + "iopub.execute_input": "2022-12-13T23:10:50.191502Z", + "iopub.status.busy": "2022-12-13T23:10:50.190636Z", + "iopub.status.idle": "2022-12-13T23:10:50.194823Z", + "shell.execute_reply": "2022-12-13T23:10:50.194171Z" }, "local_metadata": { "scrolled": false }, "papermill": { - "duration": 0.37103, - "end_time": "2022-12-09T22:15:24.213825", + "duration": 0.362501, + "end_time": "2022-12-13T23:10:50.196387", "exception": false, - "start_time": "2022-12-09T22:15:23.842795", + "start_time": "2022-12-13T23:10:49.833886", "status": "completed" }, "remote_metadata": {}, @@ -150738,16 +150738,16 @@ "id": "dbbec1ca", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:15:24.982647Z", - "iopub.status.busy": "2022-12-09T22:15:24.981495Z", - "iopub.status.idle": "2022-12-09T22:15:25.114794Z", - "shell.execute_reply": "2022-12-09T22:15:25.113748Z" + "iopub.execute_input": "2022-12-13T23:10:50.905810Z", + "iopub.status.busy": "2022-12-13T23:10:50.905166Z", + "iopub.status.idle": "2022-12-13T23:10:51.009728Z", + "shell.execute_reply": "2022-12-13T23:10:51.009050Z" }, "papermill": { - "duration": 0.509062, - "end_time": "2022-12-09T22:15:25.119794", + "duration": 0.464399, + "end_time": "2022-12-13T23:10:51.012955", "exception": false, - "start_time": "2022-12-09T22:15:24.610732", + "start_time": "2022-12-13T23:10:50.548556", "status": "completed" }, "tags": [] @@ -150787,10 +150787,10 @@ "id": "018a578a", "metadata": { "papermill": { - "duration": 0.367315, - "end_time": "2022-12-09T22:15:25.852731", + "duration": 0.355872, + "end_time": "2022-12-13T23:10:51.731569", "exception": false, - "start_time": "2022-12-09T22:15:25.485416", + "start_time": "2022-12-13T23:10:51.375697", "status": "completed" }, "tags": [] @@ -150903,18 +150903,18 @@ }, "papermill": { "default_parameters": {}, - "duration": 456.827224, - "end_time": "2022-12-09T22:15:29.853857", + "duration": 586.308156, + "end_time": "2022-12-13T23:10:53.628102", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_session.ipynb", - "output_path": "/tmp/tmpr4w0vpqa/scratch_nb.ipynb", + "output_path": "/tmp/tmpcnavn7qa/scratch_nb.ipynb", "parameters": { "DOWNLOAD_LFP": false, - "output_dir": "/tmp/tmpr4w0vpqa", + "output_dir": "/tmp/tmpcnavn7qa", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:07:53.026633", + "start_time": "2022-12-13T23:01:07.319946", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/image_download.ipynb b/doc_template/examples_root/examples/nb/image_download.ipynb index 0779e0e7e..639380401 100644 --- a/doc_template/examples_root/examples/nb/image_download.ipynb +++ b/doc_template/examples_root/examples/nb/image_download.ipynb @@ -5,10 +5,10 @@ "id": "2456f682", "metadata": { "papermill": { - "duration": 0.011213, - "end_time": "2022-12-09T22:06:05.522449", + "duration": 0.009357, + "end_time": "2022-12-13T22:41:51.726486", "exception": false, - "start_time": "2022-12-09T22:06:05.511236", + "start_time": "2022-12-13T22:41:51.717129", "status": "completed" }, "tags": [] @@ -22,10 +22,10 @@ "id": "aa152753", "metadata": { "papermill": { - "duration": 0.008218, - "end_time": "2022-12-09T22:06:05.540243", + "duration": 0.007066, + "end_time": "2022-12-13T22:41:51.741051", "exception": false, - "start_time": "2022-12-09T22:06:05.532025", + "start_time": "2022-12-13T22:41:51.733985", "status": "completed" }, "tags": [] @@ -55,16 +55,16 @@ "id": "feb9508f", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:06:05.559897Z", - "iopub.status.busy": "2022-12-09T22:06:05.559119Z", - "iopub.status.idle": "2022-12-09T22:06:08.125774Z", - "shell.execute_reply": "2022-12-09T22:06:08.124760Z" + "iopub.execute_input": "2022-12-13T22:41:51.757197Z", + "iopub.status.busy": "2022-12-13T22:41:51.756411Z", + "iopub.status.idle": "2022-12-13T22:41:53.747878Z", + "shell.execute_reply": "2022-12-13T22:41:53.747112Z" }, "papermill": { - "duration": 2.579968, - "end_time": "2022-12-09T22:06:08.128432", + "duration": 2.002099, + "end_time": "2022-12-13T22:41:53.750132", "exception": false, - "start_time": "2022-12-09T22:06:05.548464", + "start_time": "2022-12-13T22:41:51.748033", "status": "completed" }, "tags": [] @@ -93,10 +93,10 @@ "id": "33e64839", "metadata": { "papermill": { - "duration": 0.009534, - "end_time": "2022-12-09T22:06:08.147467", + "duration": 0.007605, + "end_time": "2022-12-13T22:41:53.765399", "exception": false, - "start_time": "2022-12-09T22:06:08.137933", + "start_time": "2022-12-13T22:41:53.757794", "status": "completed" }, "tags": [] @@ -111,16 +111,16 @@ "id": "8c6564d3", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:06:08.166790Z", - "iopub.status.busy": "2022-12-09T22:06:08.165886Z", - "iopub.status.idle": "2022-12-09T22:06:08.173010Z", - "shell.execute_reply": "2022-12-09T22:06:08.172123Z" + "iopub.execute_input": "2022-12-13T22:41:53.781598Z", + "iopub.status.busy": "2022-12-13T22:41:53.780717Z", + "iopub.status.idle": "2022-12-13T22:41:53.786734Z", + "shell.execute_reply": "2022-12-13T22:41:53.786121Z" }, "papermill": { - "duration": 0.018899, - "end_time": "2022-12-09T22:06:08.175064", + "duration": 0.015826, + "end_time": "2022-12-13T22:41:53.788282", "exception": false, - "start_time": "2022-12-09T22:06:08.156165", + "start_time": "2022-12-13T22:41:53.772456", "status": "completed" }, "tags": [] @@ -152,10 +152,10 @@ "id": "0ce82812", "metadata": { "papermill": { - "duration": 0.008287, - "end_time": "2022-12-09T22:06:08.192470", + "duration": 0.007055, + "end_time": "2022-12-13T22:41:53.802340", "exception": false, - "start_time": "2022-12-09T22:06:08.184183", + "start_time": "2022-12-13T22:41:53.795285", "status": "completed" }, "tags": [] @@ -170,16 +170,16 @@ "id": "9e1dd281", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:06:08.216909Z", - "iopub.status.busy": "2022-12-09T22:06:08.216314Z", - "iopub.status.idle": "2022-12-09T22:06:08.220835Z", - "shell.execute_reply": "2022-12-09T22:06:08.220010Z" + "iopub.execute_input": "2022-12-13T22:41:53.818017Z", + "iopub.status.busy": "2022-12-13T22:41:53.817515Z", + "iopub.status.idle": "2022-12-13T22:41:53.821188Z", + "shell.execute_reply": "2022-12-13T22:41:53.820437Z" }, "papermill": { - 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"duration": 0.190381, - "end_time": "2022-12-09T23:19:34.511535", + "duration": 0.121175, + "end_time": "2022-12-14T00:31:34.969013", "exception": false, - "start_time": "2022-12-09T23:19:34.321154", + "start_time": "2022-12-14T00:31:34.847838", "status": "completed" }, "tags": [] @@ -814,17 +814,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 611.799985, - "end_time": "2022-12-09T23:19:35.144126", + "duration": 593.09941, + "end_time": "2022-12-14T00:31:35.496037", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/receptive_fields.ipynb", - "output_path": "/tmp/tmp0u12_gan/scratch_nb.ipynb", + "output_path": "/tmp/tmpt5lrk_z5/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp0u12_gan", + "output_dir": "/tmp/tmpt5lrk_z5", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T23:09:23.344141", + "start_time": "2022-12-14T00:21:42.396627", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/reference_space.ipynb b/doc_template/examples_root/examples/nb/reference_space.ipynb index d9145468a..817ea8ebc 100644 --- a/doc_template/examples_root/examples/nb/reference_space.ipynb +++ b/doc_template/examples_root/examples/nb/reference_space.ipynb @@ -2,12 +2,13 @@ "cells": [ { "cell_type": "markdown", + "id": "c2ca7c19", "metadata": { "papermill": { - "duration": 0.005153, - "end_time": "2022-11-22T18:27:30.724650", + "duration": 0.007349, + "end_time": "2022-12-13T22:01:15.990833", "exception": false, - "start_time": "2022-11-22T18:27:30.719497", + "start_time": "2022-12-13T22:01:15.983484", "status": "completed" }, "tags": [] @@ -29,12 +30,13 @@ }, { "cell_type": "markdown", + "id": "1b36b259", "metadata": { "papermill": { - "duration": 0.004063, - "end_time": "2022-11-22T18:27:30.733040", + "duration": 0.005324, + "end_time": "2022-12-13T22:01:16.002367", "exception": false, - "start_time": "2022-11-22T18:27:30.728977", + "start_time": "2022-12-13T22:01:15.997043", "status": "completed" }, "tags": [] @@ -50,18 +52,19 @@ { "cell_type": "code", "execution_count": 1, + "id": "64ad2303", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:30.743091Z", - "iopub.status.busy": "2022-11-22T18:27:30.742309Z", - "iopub.status.idle": "2022-11-22T18:27:30.749179Z", - "shell.execute_reply": "2022-11-22T18:27:30.748625Z" + "iopub.execute_input": "2022-12-13T22:01:16.015315Z", + "iopub.status.busy": "2022-12-13T22:01:16.014566Z", + "iopub.status.idle": "2022-12-13T22:01:18.329240Z", + "shell.execute_reply": "2022-12-13T22:01:18.328451Z" }, "papermill": { - 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"start_time": "2022-11-22T18:27:30.754482", + "start_time": "2022-12-13T22:01:18.337312", "status": "completed" }, "tags": [ @@ -102,45 +106,25 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, + "id": "65c9dcb7", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:30.787386Z", - "iopub.status.busy": "2022-11-22T18:27:30.787179Z", - "iopub.status.idle": "2022-11-22T18:27:37.952528Z", - "shell.execute_reply": "2022-11-22T18:27:37.951874Z" + "iopub.execute_input": "2022-12-13T22:01:18.377493Z", + "iopub.status.busy": "2022-12-13T22:01:18.376939Z", + "iopub.status.idle": "2022-12-13T22:01:25.929720Z", + "shell.execute_reply": "2022-12-13T22:01:25.928951Z" }, "papermill": { - "duration": 7.17235, - "end_time": "2022-11-22T18:27:37.954653", + "duration": 7.56143, + "end_time": "2022-12-13T22:01:25.932266", "exception": false, - "start_time": "2022-11-22T18:27:30.782303", + "start_time": "2022-12-13T22:01:18.370836", "status": "completed" }, "tags": [] }, - "outputs": [ - { - "ename": "ManifestVersionError", - "evalue": "Your manifest file (manifest.json) version did not match the expected version (its version is '1.1', but version '1.2' is expected). Please remove this file and it will be regenerated for you the next time you instantiate this class. WARNING: There may be new data files available that replace the ones you already have downloaded. Read the notes for this release for more details on what has changed (https://github.com/alleninstitute/allensdk/wiki).", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mManifestVersionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/api/warehouse_cache/cache.py\u001b[0m in \u001b[0;36mload_manifest\u001b[0;34m(self, file_name, version)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 152\u001b[0;31m self.manifest = Manifest(\n\u001b[0m\u001b[1;32m 153\u001b[0m \u001b[0mju\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'manifest'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/config/manifest.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, config, relative_base_dir, version)\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mconfig\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 76\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mversion\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 77\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/config/manifest.py\u001b[0m in \u001b[0;36mload_config\u001b[0;34m(self, config, version)\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfound_version\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mversion\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mManifestVersionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mversion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfound_version\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 129\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mversion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mManifestVersionError\u001b[0m: ", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mManifestVersionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mreference_space_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'annotation'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'ccf_2017'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mresolution\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m25\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mrspc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mReferenceSpaceCache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresolution\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreference_space_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmanifest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'manifest.json'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;31m# ID 1 is the adult mouse structure graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mtree\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrspc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_structure_tree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstructure_graph_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/core/reference_space_cache.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, resolution, reference_space_key, **kwargs)\u001b[0m\n\u001b[1;32m 68\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'base_uri'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 70\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mReferenceSpaceCache\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 71\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 72\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresolution\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresolution\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/api/warehouse_cache/cache.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, manifest, cache, version, **kwargs)\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mversion\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'MANIFEST_VERSION'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 104\u001b[0m \u001b[0mversion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMANIFEST_VERSION\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_manifest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmanifest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mversion\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 107\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_cache_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmanifest_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/api/warehouse_cache/cache.py\u001b[0m in \u001b[0;36mload_manifest\u001b[0;34m(self, file_name, version)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mref_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"https://github.com/alleninstitute/allensdk/wiki\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 165\u001b[0;31m raise ManifestVersionError((\"Your manifest file (%s) %s\" +\n\u001b[0m\u001b[1;32m 166\u001b[0m \u001b[0;34m\" (its version is '%s', but\"\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;34m\" version '%s' is expected). \"\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mManifestVersionError\u001b[0m: Your manifest file (manifest.json) version did not match the expected version (its version is '1.1', but version '1.2' is expected). Please remove this file and it will be regenerated for you the next time you instantiate this class. WARNING: There may be new data files available that replace the ones you already have downloaded. Read the notes for this release for more details on what has changed (https://github.com/alleninstitute/allensdk/wiki)." - ] - } - ], + "outputs": [], "source": [ "reference_space_key = os.path.join('annotation', 'ccf_2017')\n", "resolution = 25\n", @@ -151,24 +135,50 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, + "id": "0bc1327c", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:37.964650Z", - "iopub.status.busy": "2022-11-22T18:27:37.964285Z", - "iopub.status.idle": "2022-11-22T18:27:37.973615Z", - "shell.execute_reply": "2022-11-22T18:27:37.973033Z" + "iopub.execute_input": "2022-12-13T22:01:25.945657Z", + "iopub.status.busy": "2022-12-13T22:01:25.945158Z", + "iopub.status.idle": "2022-12-13T22:01:25.955605Z", + "shell.execute_reply": "2022-12-13T22:01:25.954835Z" }, "papermill": { - "duration": 0.01599, - "end_time": "2022-11-22T18:27:37.975066", + "duration": 0.018905, + "end_time": "2022-12-13T22:01:25.957101", "exception": false, - "start_time": "2022-11-22T18:27:37.959076", + "start_time": "2022-12-13T22:01:25.938196", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[{'acronym': 'AUDd',\n", + " 'graph_id': 1,\n", + " 'graph_order': 122,\n", + " 'id': 1011,\n", + " 'name': 'Dorsal auditory area',\n", + " 'structure_id_path': [997, 8, 567, 688, 695, 315, 247, 1011],\n", + " 'structure_set_ids': [112905828,\n", + " 688152357,\n", + " 691663206,\n", + " 687527945,\n", + " 12,\n", + " 184527634,\n", + " 167587189,\n", + " 114512891],\n", + " 'rgb_triplet': [1, 147, 153]}]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# now let's take a look at a structure\n", "tree.get_structures_by_name(['Dorsal auditory area'])" @@ -176,12 +186,13 @@ }, { "cell_type": "markdown", + "id": "d516e479", "metadata": { "papermill": { - "duration": 0.004236, - "end_time": "2022-11-22T18:27:37.983507", + "duration": 0.005494, + "end_time": "2022-12-13T22:01:25.968193", "exception": false, - "start_time": "2022-11-22T18:27:37.979271", + "start_time": "2022-12-13T22:01:25.962699", "status": "completed" }, "tags": [] @@ -200,12 +211,13 @@ }, { "cell_type": "markdown", + "id": "ccaca317", "metadata": { "papermill": { - "duration": 0.004202, - "end_time": "2022-11-22T18:27:37.991952", + "duration": 0.005745, + "end_time": "2022-12-13T22:01:26.025320", "exception": false, - "start_time": "2022-11-22T18:27:37.987750", + "start_time": "2022-12-13T22:01:26.019575", "status": "completed" }, "tags": [] @@ -216,24 +228,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, + "id": "8c0a5d30", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:38.001715Z", - "iopub.status.busy": "2022-11-22T18:27:38.001161Z", - "iopub.status.idle": "2022-11-22T18:27:38.005643Z", - "shell.execute_reply": "2022-11-22T18:27:38.005078Z" + "iopub.execute_input": "2022-12-13T22:01:26.038684Z", + "iopub.status.busy": "2022-12-13T22:01:26.037995Z", + "iopub.status.idle": "2022-12-13T22:01:26.044061Z", + "shell.execute_reply": "2022-12-13T22:01:26.043267Z" }, "papermill": { - "duration": 0.010863, - "end_time": "2022-11-22T18:27:38.006958", + "duration": 0.014813, + "end_time": "2022-12-13T22:01:26.045987", "exception": false, - "start_time": "2022-11-22T18:27:37.996095", + "start_time": "2022-12-13T22:01:26.031174", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[{'acronym': 'AUD',\n", + " 'graph_id': 1,\n", + " 'graph_order': 121,\n", + " 'id': 247,\n", + " 'name': 'Auditory areas',\n", + " 'structure_id_path': [997, 8, 567, 688, 695, 315, 247],\n", + " 'structure_set_ids': [3, 112905828, 691663206, 12, 184527634, 114512891],\n", + " 'rgb_triplet': [1, 147, 153]}]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# get a structure's parent\n", "tree.parents([1011])" @@ -241,24 +272,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, + "id": "17bee9ad", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:38.017071Z", - "iopub.status.busy": "2022-11-22T18:27:38.016682Z", - "iopub.status.idle": "2022-11-22T18:27:38.021111Z", - "shell.execute_reply": "2022-11-22T18:27:38.020567Z" + "iopub.execute_input": "2022-12-13T22:01:26.058612Z", + "iopub.status.busy": "2022-12-13T22:01:26.058197Z", + "iopub.status.idle": "2022-12-13T22:01:26.064277Z", + "shell.execute_reply": "2022-12-13T22:01:26.063498Z" }, "papermill": { - "duration": 0.01115, - "end_time": "2022-11-22T18:27:38.022401", + "duration": 0.014081, + "end_time": "2022-12-13T22:01:26.065813", "exception": false, - "start_time": "2022-11-22T18:27:38.011251", + "start_time": "2022-12-13T22:01:26.051732", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'Auditory areas'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# get a dictionary mapping structure ids to names\n", "\n", @@ -268,24 +311,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, + "id": "b3246267", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:38.033027Z", - "iopub.status.busy": "2022-11-22T18:27:38.031996Z", - "iopub.status.idle": "2022-11-22T18:27:38.036460Z", - "shell.execute_reply": "2022-11-22T18:27:38.035882Z" + "iopub.execute_input": "2022-12-13T22:01:26.079029Z", + "iopub.status.busy": "2022-12-13T22:01:26.078575Z", + "iopub.status.idle": "2022-12-13T22:01:26.083116Z", + "shell.execute_reply": "2022-12-13T22:01:26.082581Z" }, "papermill": { - "duration": 0.010891, - "end_time": "2022-11-22T18:27:38.037814", + "duration": 0.012789, + "end_time": "2022-12-13T22:01:26.084510", "exception": false, - "start_time": "2022-11-22T18:27:38.026923", + "start_time": "2022-12-13T22:01:26.071721", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Primary visual area is not in Auditory areas\n" + ] + } + ], "source": [ "# ask whether one structure is contained within another\n", "\n", @@ -298,24 +350,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, + "id": "4a0c1e11", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:38.047850Z", - "iopub.status.busy": "2022-11-22T18:27:38.047648Z", - "iopub.status.idle": "2022-11-22T18:27:38.051565Z", - "shell.execute_reply": "2022-11-22T18:27:38.050997Z" + "iopub.execute_input": "2022-12-13T22:01:26.097519Z", + "iopub.status.busy": "2022-12-13T22:01:26.096866Z", + "iopub.status.idle": "2022-12-13T22:01:26.101866Z", + "shell.execute_reply": "2022-12-13T22:01:26.101223Z" }, "papermill": { - "duration": 0.010619, - "end_time": "2022-11-22T18:27:38.052861", + "duration": 0.013137, + "end_time": "2022-12-13T22:01:26.103404", "exception": false, - "start_time": "2022-11-22T18:27:38.042242", + "start_time": "2022-12-13T22:01:26.090267", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VISp\n" + ] + } + ], "source": [ "# build a custom map that looks up acronyms by ids\n", "# the syntax here is just a pair of node-wise functions. \n", @@ -327,12 +388,13 @@ }, { "cell_type": "markdown", + "id": "cf5a0bf3", "metadata": { "papermill": { - "duration": 0.00456, - "end_time": "2022-11-22T18:27:38.061904", + "duration": 0.005767, + "end_time": "2022-12-13T22:01:26.115020", "exception": false, - "start_time": "2022-11-22T18:27:38.057344", + "start_time": "2022-12-13T22:01:26.109253", "status": "completed" }, "tags": [] @@ -348,24 +410,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, + "id": "2abd67d4", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:38.072534Z", - "iopub.status.busy": "2022-11-22T18:27:38.071968Z", - "iopub.status.idle": "2022-11-22T18:27:42.158195Z", - "shell.execute_reply": "2022-11-22T18:27:42.157597Z" + "iopub.execute_input": "2022-12-13T22:01:26.127937Z", + "iopub.status.busy": "2022-12-13T22:01:26.127488Z", + "iopub.status.idle": "2022-12-13T22:01:30.876008Z", + "shell.execute_reply": "2022-12-13T22:01:30.875288Z" }, "papermill": { - "duration": 4.093038, - "end_time": "2022-11-22T18:27:42.159638", + "duration": 4.757194, + "end_time": "2022-12-13T22:01:30.878057", "exception": false, - "start_time": "2022-11-22T18:27:38.066600", + "start_time": "2022-12-13T22:01:26.120863", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-12-13 22:01:26,129 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://download.alleninstitute.org/informatics-archive/current-release/mouse_ccf/annotation/ccf_2017/annotation_25.nrrd\n" + ] + }, + { + "data": { + "text/plain": [ + "['annotation_25.nrrd']" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", "\n", @@ -376,12 +457,13 @@ }, { "cell_type": "markdown", + "id": "4cd74a9f", "metadata": { "papermill": { - "duration": 0.004797, - "end_time": "2022-11-22T18:27:42.169440", + "duration": 0.005969, + "end_time": "2022-12-13T22:01:30.890579", "exception": false, - "start_time": "2022-11-22T18:27:42.164643", + "start_time": "2022-12-13T22:01:30.884610", "status": "completed" }, "tags": [] @@ -394,19 +476,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, + "id": "49b7b3fa", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:42.180498Z", - "iopub.status.busy": "2022-11-22T18:27:42.179967Z", - "iopub.status.idle": "2022-11-22T18:27:43.612414Z", - "shell.execute_reply": "2022-11-22T18:27:43.611779Z" + "iopub.execute_input": "2022-12-13T22:01:30.904529Z", + "iopub.status.busy": "2022-12-13T22:01:30.904006Z", + "iopub.status.idle": "2022-12-13T22:01:32.332559Z", + "shell.execute_reply": "2022-12-13T22:01:32.331763Z" }, "papermill": { - "duration": 1.439777, - "end_time": "2022-11-22T18:27:43.614074", + "duration": 1.437925, + "end_time": "2022-12-13T22:01:32.334846", "exception": false, - "start_time": "2022-11-22T18:27:42.174297", + "start_time": "2022-12-13T22:01:30.896921", "status": "completed" }, "tags": [] @@ -418,12 +501,13 @@ }, { "cell_type": "markdown", + "id": "af3643c4", "metadata": { "papermill": { - "duration": 0.004885, - "end_time": "2022-11-22T18:27:43.624331", + "duration": 0.006145, + "end_time": "2022-12-13T22:01:32.347723", "exception": false, - "start_time": "2022-11-22T18:27:43.619446", + "start_time": "2022-12-13T22:01:32.341578", "status": "completed" }, "tags": [] @@ -434,12 +518,13 @@ }, { "cell_type": "markdown", + "id": "7e61ec1d", "metadata": { "papermill": { - "duration": 0.004954, - "end_time": "2022-11-22T18:27:43.634242", + "duration": 0.005949, + "end_time": "2022-12-13T22:01:32.359782", "exception": false, - "start_time": "2022-11-22T18:27:43.629288", + "start_time": "2022-12-13T22:01:32.353833", "status": "completed" }, "tags": [] @@ -452,24 +537,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, + "id": "6231e446", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:27:43.645167Z", - "iopub.status.busy": "2022-11-22T18:27:43.644554Z", - "iopub.status.idle": "2022-11-22T18:28:02.826705Z", - "shell.execute_reply": "2022-11-22T18:28:02.826112Z" + "iopub.execute_input": "2022-12-13T22:01:32.374198Z", + "iopub.status.busy": "2022-12-13T22:01:32.373143Z", + "iopub.status.idle": "2022-12-13T22:01:55.761428Z", + "shell.execute_reply": "2022-12-13T22:01:55.760702Z" }, "papermill": { - "duration": 19.189315, - "end_time": "2022-11-22T18:28:02.828167", + "duration": 23.397436, + "end_time": "2022-12-13T22:01:55.763195", "exception": false, - "start_time": "2022-11-22T18:27:43.638852", + "start_time": "2022-12-13T22:01:32.365759", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# This gets all of the structures targeted by the Allen Brain Observatory project\n", "brain_observatory_structures = rsp.structure_tree.get_structures_by_set_id([514166994])\n", @@ -532,12 +662,13 @@ }, { "cell_type": "markdown", + "id": "b77b8198", "metadata": { "papermill": { - "duration": 0.005483, - "end_time": "2022-11-22T18:28:05.428413", + "duration": 0.006881, + "end_time": "2022-12-13T22:01:58.973783", "exception": false, - "start_time": "2022-11-22T18:28:05.422930", + "start_time": "2022-12-13T22:01:58.966902", "status": "completed" }, "tags": [] @@ -548,25 +679,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, + "id": "0f7ecaaf", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:28:05.440725Z", - "iopub.status.busy": "2022-11-22T18:28:05.440249Z", - "iopub.status.idle": "2022-11-22T18:28:10.923496Z", - "shell.execute_reply": "2022-11-22T18:28:10.922881Z" + "iopub.execute_input": "2022-12-13T22:01:58.989351Z", + "iopub.status.busy": "2022-12-13T22:01:58.988549Z", + "iopub.status.idle": "2022-12-13T22:02:05.302208Z", + "shell.execute_reply": "2022-12-13T22:02:05.301466Z" }, "papermill": { - "duration": 5.491061, - "end_time": "2022-11-22T18:28:10.924892", + "duration": 6.323367, + "end_time": "2022-12-13T22:02:05.303761", "exception": false, - "start_time": "2022-11-22T18:28:05.433831", + "start_time": "2022-12-13T22:01:58.980394", "status": "completed" }, "scrolled": true, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "made mask for structure 385.\n", + "made mask for structure 1097.\n" + ] + }, + { + "data": { + "text/plain": [ + "['ccf_2017', 'structure_385.nrrd', 'structure_1097.nrrd']" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import functools\n", "from allensdk.core.reference_space import ReferenceSpace\n", @@ -589,12 +740,13 @@ }, { "cell_type": "markdown", + "id": "644b11ad", "metadata": { "papermill": { - "duration": 0.005971, - "end_time": "2022-11-22T18:28:10.937306", + "duration": 0.007334, + "end_time": "2022-12-13T22:02:05.318417", "exception": false, - "start_time": "2022-11-22T18:28:10.931335", + "start_time": "2022-12-13T22:02:05.311083", "status": "completed" }, "tags": [] @@ -605,12 +757,13 @@ }, { "cell_type": "markdown", + "id": "494db219", "metadata": { "papermill": { - "duration": 0.005609, - "end_time": "2022-11-22T18:28:10.948572", + "duration": 0.006781, + "end_time": "2022-12-13T22:02:05.332043", "exception": false, - "start_time": "2022-11-22T18:28:10.942963", + "start_time": "2022-12-13T22:02:05.325262", "status": "completed" }, "tags": [] @@ -623,24 +776,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, + "id": "74718542", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:28:10.961215Z", - "iopub.status.busy": "2022-11-22T18:28:10.960712Z", - "iopub.status.idle": "2022-11-22T18:28:10.981428Z", - "shell.execute_reply": "2022-11-22T18:28:10.980809Z" + "iopub.execute_input": "2022-12-13T22:02:05.347550Z", + "iopub.status.busy": "2022-12-13T22:02:05.346967Z", + "iopub.status.idle": "2022-12-13T22:02:05.370638Z", + "shell.execute_reply": "2022-12-13T22:02:05.369930Z" }, "papermill": { - "duration": 0.028715, - "end_time": "2022-11-22T18:28:10.982912", + "duration": 0.034294, + "end_time": "2022-12-13T22:02:05.373120", "exception": false, - "start_time": "2022-11-22T18:28:10.954197", + "start_time": "2022-12-13T22:02:05.338826", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "voxel count for structure 12997: 0\n" + ] + }, + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Double-check the voxel counts\n", "no_voxel_id = rsp.structure_tree.get_structures_by_name(['Somatosensory areas, layer 6a'])[0]['id']\n", @@ -655,12 +827,13 @@ }, { "cell_type": "markdown", + "id": "07992a5f", "metadata": { "papermill": { - "duration": 0.005731, - "end_time": "2022-11-22T18:28:10.994388", + "duration": 0.007058, + "end_time": "2022-12-13T22:02:05.387119", "exception": false, - "start_time": "2022-11-22T18:28:10.988657", + "start_time": "2022-12-13T22:02:05.380061", "status": "completed" }, "tags": [] @@ -671,24 +844,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, + "id": "b3a70427", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:28:11.006898Z", - "iopub.status.busy": "2022-11-22T18:28:11.006684Z", - "iopub.status.idle": "2022-11-22T18:28:11.582999Z", - "shell.execute_reply": "2022-11-22T18:28:11.582395Z" + "iopub.execute_input": "2022-12-13T22:02:05.402853Z", + "iopub.status.busy": "2022-12-13T22:02:05.402275Z", + "iopub.status.idle": "2022-12-13T22:02:05.989722Z", + "shell.execute_reply": "2022-12-13T22:02:05.989023Z" }, "papermill": { - "duration": 0.584541, - "end_time": "2022-11-22T18:28:11.584630", + "duration": 0.59791, + "end_time": "2022-12-13T22:02:05.991954", "exception": false, - "start_time": "2022-11-22T18:28:11.000089", + "start_time": "2022-12-13T22:02:05.394044", "status": "completed" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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btm1x7LHHxte+9rVWDAUAAJI1JYj+yU9+UrY8efLkuPzyy+Pyyy9vxuEBAKBQLZmJhvFs7pVLWz2EJEUUM2WLEyO6v/ELnalRRYFZndbgpJ771vr3X9WAkUD7aGjbbwAA6EaCaAAASCSIBgCARHKioUCdlu/cTia95Ddly9t/+9Kq76nIX91e/Tiff+KO2gdFx8j7XM/fe9ePTa03/7mea7XTcqCLUMv9UN40ncxMNAAAJBJEAwBAIkE0AAAkkhMNNZLvXLu850JnZfNKa3m9ltzTrLWThpPf0yx9L9qz1UMYk7zxj/x+awtGki/72R++vX+Xy3nvqUW1azki4tDMtTsec6TzVLuvypmmnZmJBgCARIJoAABIJIgGAIBEgmgAAEiksBBegELC4tRSeJXVqCLCvAYbP3rs3uRj0V5qaZzSzkWm5Mu7Dys2pF2YiQYAgESCaAAASCSIBgCARD2lUqnU6kGkGhkZif7+yofkw1h0eg708fP/a0uOm9dYpVk50FmP7Hj9mPcREXHPyN8Usp9qOr3ZSp5WNVs5qO9/JL9n9u7/byHHLuJ6b6fmKz8Y/L9bPYQkcqRphOHh4ejr69vlNmaiAQAgkSAaAAASCaIBACCRIBoAABIpLGRc6vQiwlo0qtDwNftvKGQ/7VRIWE2jCg0VFtaunsLBehRRbFhPoWGeZhUfdlohYS0UGzJWCgsBAKABBNEAAJBIEA0AAInkRDMujIcc6KxacqLzGqVkFZXfmVVPTnSzcqBrUUSetJzofM3Kf65FKxuyZNXynaklb7obc6BTyZmmGjnRAADQAIJoAABIJIgGAIBEE1s9AGiE8ZgDnVVLvnNWM/Of2ym/uR7ZvN1acqTfNP3AsuU7dj5c6JjaQfbf+KPH7q36nnbKgc6q5zotKo86q5bv56E15E3/YOxDAcJMNAAAJBNEAwBAIkE0AAAkEkQDAEAizVboeIoI813wuj+rWNeowsGsbCFhpxcR1mNgSk/FugnP3F71fUUUG752wpyy5Z0Tj6zY5mfbryv8OHmyxx56quN+cgqRvR6y10Izi3qX/3/facixOp0GLDyfZisAANAAgmgAAEgkiAYAgESardBx5EDXplk5lnn5thV3lh3jMw82K/dcZbymiOPUsM1rJv23phyHfNlrYftvK7cp4jvcrDqIbpD9bZEjTTVmogEAIJEgGgAAEgmiAQAgkedE09bkP9fuE+9aOOZ9PD305wWMpHE6/RnDU3duTX7P5D33asBI6vP01i3J79k8Yc8GjKR58p733U4mD/zdmPfxqb9fXcBIup8c6fHFc6IBAKABBNEAAJBIEA0AAIkE0QAAkEizFdqKQsLmavdCwqxskVenFxrWIlvM18xCw3oKCTtduxcSZmW/wyMTv1S2PGOfGc0cTlfL+31SbDi+mYkGAIBEgmgAAEgkiAYAgERyoqFLHPTgIWXLa/Y4uEUjoZHy8pSLyJMej/nP3ajvmXPLlp8eqtxmwZO/zKzRbKVe2TxpOdLji5loAABIJIgGAIBEgmgAAEgkiAYAgEQKC2kpzVUiPvDGuRXrrrhlffJ+FBKOX61syFLNeGyQ0+6y94oVC8rvwyevqV4cl3ffyqrnPgadxEw0AAAkEkQDAEAiQTQAACTqKZVKHZegNjIyEv39/a0eBonGa/5zLbmDWdlcwmzOovzn57Rzfm02FziieQ1NJj3wSNVttv/x7CaMpNLmCXu25Li1yvvciLj4trPKluu5r+UZD3nTGrB0puHh4ejr69vlNmaiAQAgkSAaAAASCaIBACCR50RDgYrIf46IOO8Nl5Utr6l7RN2tnZ9B3Kz8Z2iG7D3p4lvOqtimqDzpbpOtB5Ij3T3MRAMAQCJBNAAAJBJEAwBAIkE0AAAkUlhIw4yH5ipFFBJmC3agGbINWVrVfKWVNFapX959a8HIL8uWb+m7uep+svfQ8dB8he5hJhoAABIJogEAIJEgGgAAEsmJhhrV20hADjSNls1vhlZYs8fBZctX3FLeVKSWe6gcaTqJmWgAAEgkiAYAgEQNCaJ/97vfxZ//+Z/H9OnTY8qUKXHwwQfHmjVrRl8vlUpx0UUXxaxZs2LKlCmxePHiuP/++xsxFAAAKFxPqVQqFbnD3//+93HYYYfF0UcfHR/4wAfij/7oj+L++++P/fffP/bff/+IiLj44otj+fLl8c1vfjPmzp0bF154Yfzyl7+MX/3qVzF58uSqxxgZGYn+/v4ih00iz4DOl5e/Jwe6tYaeKvQWV7OpO7c27VhF5EQ36znRmyfs2ZTj5PFc6NZa8OQvK9bV8izprPGQJ73+/VdV34iGGh4ejr6+vl1uU3hh4cUXXxz77rtvXH311aPr5s79z2CkVCrFJZdcEh//+Mfj7W9/e0RE/O3f/m3MnDkzbrjhhjjllFOKHhIAABSq8HSO733ve7FgwYI4+eSTY8aMGXHYYYfF17/+9dHX169fH0NDQ7F48eLRdf39/bFw4cJYtWpV7j63bdsWIyMjZX8AANAqhQfRDz74YFxxxRVxwAEHxA9/+MP4wAc+EB/60Ifim9/8ZkREDA0NRUTEzJkzy943c+bM0deyli9fHv39/aN/++67b9HDBgCAmhUeRO/cuTMOP/zw+NznPheHHXZYLF26NN73vvfFlVdeWfc+L7jgghgeHh7927BhQ4EjBgCANIXnRM+aNSte+cpXlq078MAD4x/+4R8iImJgYCAiIjZu3BizZs0a3Wbjxo1x6KGH5u6zt7c3ent7ix4qlCmikFARYfvJFpM1qtCwmYWEnSzvPDWq2FAhYXvJNmOJ0JCFzlb4TPTrX//6WLduXdm6++67L/bbb7+IeK7IcGBgIFauXDn6+sjISKxevToWLVpU9HAAAKBwhc9En3POOfG6170uPve5z8W73vWu+NnPfhZXXXVVXHXVc/+12dPTE2effXZ85jOfiQMOOGD0EXezZ8+Od7zjHUUPBwAACld4EH3EEUfE9ddfHxdccEF8+tOfjrlz58Yll1wSS5YsGd3mYx/7WGzdujWWLl0amzdvjiOPPDJuuummmp4RDQAArVZ4s5Vm0Gyl+bqtuYpGKhTt6a1bWnbsTmq2kmfynnu17Ni0l4tvO6tsuZ57dUT35UlrvtJ8tTRbaUjbbwAA6GaCaAAASCSIBgCARIJoAABIpLCQCt1WRBihkQppXrwpvVDvX/fcdQFKUfKK8Hb+/L6GHKtZxYb7bx0Z8z5+N6N1hZE0TrbQMKK4wvBOptCw8RQWAgBAAwiiAQAgkSAaAAASyYmmQjfkRNf7gP7n63vm3AJGQrupJ9+5Ho3KkS6isUqtGpETXUT+c63kSXenIhqydHqOtJzoxpMTDQAADSCIBgCARIJoAABINLHVA6D1uiEHughyoAHaX/aZ/SPxpRaNpHXyfrflSTefmWgAAEgkiAYAgESCaAAASCSIBgCARAoL6Xj1PGj/jSN/WrFuzR5FjIZ206zmKlmT99yrrvc9vXXLLvezs+4Rpcseu9rYatLEZivZz17zle6UVxQ+MnHXxYZ5vxud3oCF5jMTDQAAiQTRAACQSBANAACJekqlUqnVg0g1MjIS/f39rR5Gx+r05ir15EBnc92yD+unOzz2019WrHv1K6a3YCTNzb/d+fP7xryPCYe8vICRVNeqHPWIiF+se6xsefp/ObhFI6HRFjxZfi+4pe/m5H10eo605itjMzw8HH19fbvcxkw0AAAkEkQDAEAiQTQAACTynGjGBTnQ3SmbA92q/OdWy+Yz/8Un3lb1PX/9qe81ajhtK3t9/CInh16edHdYs0f553jFLeX5wfXU1kCWmWgAAEgkiAYAgESCaAAASCSIBgCARJqtdLnx2FglIuKNI39atpwtMqE7tHNhYTObrWQbS9SjWd+RVjZbyco2X4lQWNitNF95jgYstdNsBQAAGkAQDQAAiQTRAACQSLMVupIc6O6UzYFuZ0XkKTdTs8b7aLRP3npeDn22AYsc6e5Q+ZuQnhPdDbJ1UnKkx8ZMNAAAJBJEAwBAIkE0AAAkEkQDAEAihYVdptObq9Qj21glImLNHi0YCA137Pzy5Ue3tE+RWlbe2GbtVdncg/aSvcbWtGYYNFje70Y9DVgY38xEAwBAIkE0AAAkEkQDAEAiOdG0lQ+8cW7yezRWoVNk86S7MUe6nfPU4Q/yfzd2nROd9/t0xS3rCxpRa2i+MjZmogEAIJEgGgAAEgmiAQAgkZzoDjcenwtN53nsp78sZkfzq2/SLpqZ7/zggw+OeR8ve9nLChhJ9X93p+VMF3XtTv8vajeg25iJBgCARIJoAABIJIgGAIBEgmgAAEiksJCOk324/XlvaNFAiIgCiwbr8It15UVsr35FZxWtFSVbFFhLoeHJJ59cvuKcT1VsM/jnbx3TuPhP1b4nCg9b740jf1q2fEvfrpuvdKO8hxVowPLCzEQDAEAiQTQAACQSRAMAQCI50R1EY5XnrFhQfh7WtGgc3aiV+c1Zx3ZQY5WIxjVXmf93N6a/J7viy5+o3CgnB7rasYvIkc47T61qwJLNqY+I+EVmOe86/OFg8WOp97snl7o4a/bInsvxlxNNGjPRAACQSBANAACJBNEAAJBITjQdpzJvjVq1U85zPRqRi1qLvNzZenK268lvrvDS/apv85uHypfz8p/r2E89468lj7qWfPJW5U23O8+fbq0PvHFu2XK2jwHdzUw0AAAkEkQDAEAiQTQAACQSRAMAQKKeUqlUavUgUo2MjER/f3+rh9Fw46G5SrYooxZ9z5zbgJF0n04vIqzH6SuWVawb/Pi3qr5v/mfeXbb8yOe/OuaxFFJEGFFbAWCzZAsW61BEw5aIiNnnl3/W9XzOV59c3+ecLSptVcFrvRQb1ubi284qW67l92o8FBauf/9VrR5CUwwPD0dfX98utzETDQAAiQTRAACQSBANAACJ5ES3MTnR+fll573hskYNp2N0Y75zs/JM8/Kms/aauFvyfvee96fpg2mnfOei1JE3/cSvb05+T/Z8P3rPTRXb1JvzXE2n50RXI2f6OQueLL/P3tJX/TqVE9095EQDAEADCKIBACCRIBoAABIJogEAINHEVg8AdmXFgsriyjUtGEerdWMhYVYtxVn/66kCzsNb/6Ji1RM3/c3Y99uNRYL1qOc8/Dr9LdlixFk5n2sR18vnplQW2XVbIWFW3v1GsSFUMhMNAACJCg+in3322bjwwgtj7ty5MWXKlNh///3jr/7qr+L5T9IrlUpx0UUXxaxZs2LKlCmxePHiuP/++4seCgAANEThQfTFF18cV1xxRXz1q1+Ne++9Ny6++OL4whe+EJdd9p/P9v3CF74Ql156aVx55ZWxevXq2HPPPePYY4+Np59+uujhAABA4QpvtvLWt741Zs6cGd/4xjdG15100kkxZcqU+Lu/+7solUoxe/bs+MhHPhL/83/+z4h47oHWM2fOjGuuuSZOOeWUqsfoxmYr46GxSp5qzVbeOFLZwGLNHt2fmzcecqCrKST/uZXymo6Mx7zp7HnognOQlyc93oyHHGnNVmrTrc1XWtJs5XWve12sXLky7rvvvoiI+PnPfx633357HH/88RERsX79+hgaGorFixePvqe/vz8WLlwYq1atyt3ntm3bYmRkpOwPAABapfCnc5x//vkxMjIS8+bNi9122y2effbZ+OxnPxtLliyJiIihoaGIiJg5c2bZ+2bOnDn6Wtby5cvjU5/6VNFDBQCAuhQ+E/33f//3ce2118Z1110Xa9eujW9+85vxxS9+Mb75zW/Wvc8LLrgghoeHR/82bNhQ4IgBACBN4TPRH/3oR+P8888fzW0++OCD46GHHorly5fHaaedFgMDAxERsXHjxpg1a9bo+zZu3BiHHnpo7j57e3ujt7e36KFCWxgP+c/Hzq9cl33WbsfnQGd1Qe5vIbrwPGSv1WyOdC3Xe6cbD8+Srqy/qZ4TzfhS+Ez0k08+GRMmlO92t912i507d0ZExNy5c2NgYCBWrlw5+vrIyEisXr06Fi1aVPRwAACgcIXPRJ9wwgnx2c9+NubMmROvetWr4q677oovfelL8d73vjciInp6euLss8+Oz3zmM3HAAQfE3Llz48ILL4zZs2fHO97xjqKHAwAAhSs8iL7sssviwgsvjA9+8IOxadOmmD17dvzFX/xFXHTRRaPbfOxjH4utW7fG0qVLY/PmzXHkkUfGTTfdFJMnTy56OAAAULjCg+i99947LrnkkrjkkktecJuenp749Kc/HZ/+9KeLPjwAADRc4UE0FGk8NFbpRnmFVR1l8++qbzP1xY0fx3jVhee/2neiGwoPs8WG3VZomNdIpVrDMLpb4YWFAADQ7QTRAACQSBANAACJ5ETTVrI5Z+e9oUUDaaBua65Sb/5zy5qr1JJvW89+OixHt63U85m0Ud50RfOVwcpc4I6vEwAqmIkGAIBEgmgAAEgkiAYAgERyooEk9eR25j0DtyEpokXlO9fjNw+VL790v9aMo91lz1NExNQG/RRVux7aKI8973vV6c+O7rbnRq9YsLRi3S1xcwtG0l7mXll5Xta//6oWjKT5zEQDAEAiQTQAACQSRAMAQCJBNAAAJFJYSEtlm6tkCzfWNHMwDdLpzVWKaBJRWGOVbFFaowrS6qGQsDZ556lVBaENatiSd70PRnpRXS3fvU4vPux02d8wxhcz0QAAkEgQDQAAiQTRAACQqI0SCseXvIeTA8+Tl6/aTjnQGYNHpue8zr+9s/Pl89R1Hm5sYZOcanKvw/Zp0gK0jploAABIJIgGAIBEgmgAAEgkiAYAgETtW6UDNF0RjVUi6iyYa1XDjXopLitO9ly2+7WQHV8N10L2O1FPASbQXsxEAwBAIkE0AAAkEkQDAEAiOdFAa/zmofLlNm6kUgs5r7XpxgYzFdfyS/drzThoqDV7+E5Tzkw0AAAkEkQDAEAiQTQAACTq7CREuk425+zpP/pqxTaT/21Zs4bTFPsO7FWx7pUv3lK2/MPBZo0mXU05rtmc0YiOz4Em37jMDc9ey3nXeyZPutPOU/YZ8r/6XeV9a8PQlop1z/fYTyvvFdP/S3v/u58v7/eI8c1MNAAAJBJEAwBAIkE0AAAkEkQDAEAilT201IoFS8uWbx8HhRt5hYTVZIt68tRTfFjLfuvxxE1/U3WbvV97fGMO3iybf1e+PPXFZYtd2VSkDjWdh+y57HBP/PrmypW/Ll/c+7j/Ucixst/hVt4Hsve2bKFhJxURRtRWSJj9DTt5zVWNGg5tyEw0AAAkEkQDAEAiQTQAACSSEw1dolH5zVkv//iHy5afaM5hoatk6wZeflPlNvd95ivJ+23WfYDn3L7freUr1rRmHLSGmWgAAEgkiAYAgESCaAAASCQnmqbJPk8zIiefrAbZZ3dO/rdldY+paAuezHkmbiZH8Vdt9EjcWp4pe/qKzPmduFshx37ijh+ULXf7c6P5D132TOiIiNj8TEN2O/v88u/e1SdXf25xO+VEV4wl5/64Zo/2eXZ0Lc+Fribvd86zo7uXmWgAAEgkiAYAgESCaAAASCSIBgCARAoLW+SxnXOqbjN9wsNNGAnNtmFoS9VtXtmkmrRs4U+2kUpERPXRkiuvgK6IYsPfPFS57qX7te9+x4Enfn1zU45z1vWV3896GrIUoZ3uY+0kt1i+yxqw1BK/jBdmogEAIJEgGgAAEgmiAQAgkZzoNlZP3lGz8qjXv7/y4fHXPP6NsuVP/f3qsuV6GqswfnRd85U89TQaaVAjj5pk86Sn+sngOXlNXbLNm7LL7dQIppU+8a6FVbe59GefL1v+/W+ObshY5DePjZloAABIJIgGAIBEgmgAAEgkiAYAgESqRLpMPU1cXvTSHycf5xOZIsI8KxYsLVu+PRQWRiiuoYNlixzHaaFhtgiW57i35cv+Ft4TP6/6nqv2+VbZ8tJ4d9X3ZIsPW1k02Pe1z5Qtj3zw4y0aSWOZiQYAgESCaAAASCSIBgCAROMzoW2cqycHOpufVUtOV7M8/UdfrVg3+d+WtWAkFCkv77QrG7Bk1dNcJdsUheK0stkNJMj+tj/24GktGsn4YSYaAAASCaIBACCRIBoAABLJiW6S7DMTm+WPX/bNlhwXGqLbnlNcS75tLf/GIvJ26zlO3nG77DN54tc3t2ggNFJeLU23yfv9f0CedKHMRAMAQCJBNAAAJBJEAwBAIkE0AAAk6vAKEBQOttaCJ3/Z6iGMK9WKvMZFM5YaPHrPTVW3mXXQcU0YSXvLa+hDc2XvoWv2OLhFI2mc2/e7tWx5akxtzUCiesyg8DCNmWgAAEgkiAYAgESCaAAASCQnuk3IbW4/0+75x6rbPFjDfl72speNfTDU5NHbb6xYN+ulq1owkto8+ptFVbeZNXlS9f08vT392Jm86aKO00nne6+Ju7VoJPzBgw+W30Wn1XBXffygtzdqOONePbHIeM6jNhMNAACJBNEAAJAoOYi+7bbb4oQTTojZs2dHT09P3HDDDWWvl0qluOiii2LWrFkxZcqUWLx4cdx///1l2zz++OOxZMmS6Ovri6lTp8YZZ5wRW7ZsGdM/BAAAmiU5J3rr1q1xyCGHxHvf+9448cQTK17/whe+EJdeeml885vfjLlz58aFF14Yxx57bPzqV7+KyZMnR0TEkiVL4tFHH42bb745duzYEaeffnosXbo0rrvuurH/i9qUnOf2V0sOdD2yOX/tnCO95ZlnWz2EMcnLcX3it0dWfd/eL7m9EcOpqpY85Hr2U1Puch3HLmq8jVDL55y9PvKu93bOk+607+f8+fPLllesWFHIfrP36m7Mkb7nZT8vX/HvrRlHLWqJb9Y2YRytkBxEH3/88XH88fkNDUqlUlxyySXx8Y9/PN7+9ucu6r/927+NmTNnxg033BCnnHJK3HvvvXHTTTfFnXfeGQsWLIiIiMsuuyze/OY3xxe/+MWYPXv2GP45AADQeIXmRK9fvz6GhoZi8eLFo+v6+/tj4cKFsWrVcxXbq1atiqlTp44G0BERixcvjgkTJsTq1atz97tt27YYGRkp+wMAgFYpNIgeGhqKiIiZM2eWrZ85c+boa0NDQzFjxoyy1ydOnBjTpk0b3SZr+fLl0d/fP/q37777FjlsAABI0hFP57jgggtieHh49G/Dhg2tHhIAAONYoc1WBgYGIiJi48aNMWvWrNH1GzdujEMPPXR0m02bNpW975lnnonHH3989P1Zvb290dvbW+RQSVRR5NDhGlVEmOfkk08uWx4cHGzasbPmXzl/1xvkNMqopSFIp8sWpbWq0JDa1VJIWE07FxHWqtp3evD9rbvfNEst9/NWFh8e+dCflC132+/peFboTPTcuXNjYGAgVq5cObpuZGQkVq9eHYsWPfdDvGjRoti8eXNZIHHLLbfEzp07Y+HChUUOBwAAGiJ5JnrLli3xwAMPjC6vX78+7r777pg2bVrMmTMnzj777PjMZz4TBxxwwOgj7mbPnh3veMc7IiLiwAMPjOOOOy7e9773xZVXXhk7duyIZcuWxSmnnOLJHAAAdITkIHrNmjVx9NFHjy6fe+65ERFx2mmnxTXXXBMf+9jHYuvWrbF06dLYvHlzHHnkkXHTTTeNPiM6IuLaa6+NZcuWxTHHHBMTJkyIk046KS699NIC/jkAANB4yUH0UUcdFaVS6QVf7+npiU9/+tPx6U9/+gW3mTZtWlc3VuE5FXlfDeoTMPvHeU9raV7O8/PV0kgl24CglTnS5Ov0HOl6mq/Q/mbl1Cy0k+y9LSvv/phtRtUolXnTlb8bjxztoQWk6YincwAAQDsRRAMAQCJBNAAAJBJEAwBAokKbrUDR8osGxy6vwOV7Ez8x5v3ek7Pue5n6yrc986kxH6eZssVMRTS5aHdNKyQcuLVy3dCfVK4bo2yhYWHyxk9h2r2QMCtbJF1xT82LOF4+9uPm3VPrKVis9ntTb+Gh5irdy0w0AAAkEkQDAEAiQTQAACSSE03TfHifcyvWrVixInk/2XzmenKZ83KXm6WW8XZa3nSzbHmmvGPPXhN3a9FIGiibZ9yAHOm6yYHmPxRRQ1KU3LHUkWudve9m86rrrdF5cvETdb2P9mcmGgAAEgmiAQAgkSAaAAASyYmmaWrJf64l37mV+czNkv13NyxH+qD0t+x9UPkzlJ+4qTHPjc7mP0c0Lge6ac+FpjDZz6xRzy9v1nWYew3W8f1s1A2ynXKgG6Xi35jJq673edQHPXhI2bLnRncPM9EAAJBIEA0AAIkE0QAAkEgQDQAAiRQW0jDZYooHo7IAo4jGKeNBYYWG9RQqVbH3e3IKom4pYL81bFNPMVmnFREOfvJLZcvzP1nZtKhpx76yaYdOlve5FnF91HId1uWNmeVNBe23gO+4+3C+Wpq6HHTfac0ZDG3BTDQAACQSRAMAQCJBNAAAJJITTdNk858j5N51rWy+ZwE50nkalt9cRO54QU0v5l85v3zFwK3V3zT0J+nvyT12XW/btaLy8ms4v22V/579TtCV8n7n6F5mogEAIJEgGgAAEgmiAQAgkZxoanLpzz5ftvyh15yfvA/5z8XJO5d1Pzt6rPKebzsjs5yXD9qgPOmqGvCs7HqPM3jkYPJuK3Kk8/y3GnKgazj/g++vY3y31zC+ItTyORaUl56slvznop4LXUXe55G97tybi9NW92Yazkw0AAAkEkQDAEAiQTQAACQSRAMAQCKFhdClmlbglSdbNJUtNIwopiFLs4oEGyT3M8oUw9VU3FdPI486zn9FUWO7n/96xldPMaJGKhQsW8xPezITDQAAiQTRAACQSBANAACJ5ERTl7x8rav2+VbZsgf4k6SeHOmimmlkcmfraoJSVA56Ziw1NVdpkGYdu5Dz3czGKvXkQDepuQrtJ/tb+LYHy5uv3POynzdzOBTITDQAACQSRAMAQCJBNAAAJBJEAwBAIoWFQOPVU1SV1yijWvFYC5t/ZIvjGtbsplGNPfL2my3uLOD81lNEWJNGNVbJ268iQQqksUrnMhMNAACJBNEAAJBIEA0AAInkREOXyD7Qf37c2KKRNFA2P7WZDTYYH1qYVw90FjPRAACQSBANAACJBNEAAJBITjR0qbzn8Tbs2cWtUlD+ahHPLi7s3LZznnd2bHWc/7zzVM/5r+U9VT+TcZr/nK2fAOpjJhoAABIJogEAIJEgGgAAEgmiAQAgkcJCoHvkFOUNvn/sRYN5uq5Is4VqOZdFFB/OvzJznHFQWFhE0SyQz0w0AAAkEkQDAEAiQTQAACSSE90ka4+7v2z58JsOaNFIaLahX4+ULQ/M62vRSLrQjMbstlH5zlVzdDtNDTnoRZ3L7H4KyfWt5frZNPbDjFfufXQ7M9EAAJBIEA0AAIkE0QAAkEhONHSp+fMrc1EHozH5qk1TRw50TXnH9TwvOCcf+Pnynk/d8TnQNcj+GytypAv6PCqu3Sqfx3hRkXefcx/43s+bNRrGq2wdWLcyEw0AAIkE0QAAkEgQDQAAiQTRAACQSGEhdIlsY4M4pHKbbJFRxxcaFqWAorS6CujGgWqFhrW8hxdWSNMZoC5mogEAIJEgGgAAEgmiAQAgkZxo6EAV+c8RMTCvb8z7zcuvbOs86VtaeOzTvla2OP+p7OurK9/zzQ82bjztqtp5ytWkay7v+nljZjmvwc+mBoylIHnNVarJ3k+KuJfAeGAmGgAAEgmiAQAgkSAaAAASCaIBACCRwkIKs/Tf3122/PIJ+7doJI3x8hm7tezYjSr8qShCel/ORgcVcqiGaFiDk0wxXFuppRiu09Vy/gso0sxr/FJxDbXTuc1pCjT/w2O/5rP3k0YVLtfjvk3PtuS4DTWt1QOgKGaiAQAgUXIQfdttt8UJJ5wQs2fPjp6enrjhhhtGX9uxY0ecd955cfDBB8eee+4Zs2fPjve85z3xyCOPlO3j8ccfjyVLlkRfX19MnTo1zjjjjNiyZcuY/zEAANAMyUH01q1b45BDDonLL7+84rUnn3wy1q5dGxdeeGGsXbs2vvvd78a6devibW97W9l2S5YsiX/5l3+Jm2++OW688ca47bbbYunSpfX/KwAAoIl6SqVSqe439/TE9ddfH+94xztecJs777wzXvOa18RDDz0Uc+bMiXvvvTde+cpXxp133hkLFiyIiIibbrop3vzmN8dvf/vbmD17dtXjjoyMRH9/f73DbguH33RAq4fQcFft862y5S8+/vEWjaRx6smTzss3TFVLfuKnDrlxzMeJiPw86edrVM50Tv5nXg5rNRU5ru2U71xU85Ui8nYb1bimlec7c34LuX4iGnPN51zvFb5ezKE+8fO3Jr+nnvtWPXnU3ZgD/T+nfaZsOVs/1I3WHnd/q4cwZsPDw9HXt+truOE50cPDw9HT0xNTp06NiIhVq1bF1KlTRwPoiIjFixfHhAkTYvXqnA5fEbFt27YYGRkp+wMAgFZpaBD99NNPx3nnnRfvfve7R6P5oaGhmDGjvI/qxIkTY9q0aTE0NJS7n+XLl0d/f//o37777tvIYQMAwC41LIjesWNHvOtd74pSqRRXXHHFmPZ1wQUXxPDw8Ojfhg0bCholAACka8hzov8QQD/00ENxyy23lOWUDAwMxKZNm8q2f+aZZ+Lxxx+PgYGB3P319vZGb29vI4baMtl8oW7MkW7n50Y/NfmZgvaUnhPdqOetFpYDnZXNw8zmSNeSy1mHevJXc7VTDnQ9mjX+02rYppYc7nY63xVjWZi8i5qeJd0oBeVAZ2XvFbXkSDfrOdHF3ZvLTXm6dW0xuj0Huhvyn+tV+Ez0HwLo+++/P/75n/85pk+fXvb6okWLYvPmzTE4+J83pltuuSV27twZCxem3+AAAKDZkv/TbMuWLfHAAw+MLq9fvz7uvvvumDZtWsyaNSv+63/9r7F27dq48cYb49lnnx3Nc542bVpMmjQpDjzwwDjuuOPife97X1x55ZWxY8eOWLZsWZxyyik1PZkDAABaLTmIXrNmTRx99NGjy+eee25ERJx22mnxyU9+Mr73ve9FRMShhx5a9r4f//jHcdRRR0VExLXXXhvLli2LY445JiZMmBAnnXRSXHrppXX+EwAAoLmSg+ijjjoqdvVo6VoeOz1t2rS47rrrUg8NAABtoXWZ9ow7eY1Jfj6yrQUjKU52/Hs8VflvPGDm2L9mnz70n6pvEz1ly2Poo1QuU0hYS8FfReHVwourvmfwsMUpo+oOeedl3t7NH0etsoV6v34iZ6M2Hn9Bst+B+Xf9c/U3rT4vaZ8REfPfl/keFVRo2NPTU32jjIvufksxB89o1m9AowoWsy7c4/MV67q9sHA8a3izFQAA6DaCaAAASCSIBgCARD2lwhInm2dkZCT6+/tbPYxCdWOzlXrsu8d+rR5Ckrwc6FTfOvaHBYykUi1f7ec/r/2FzH/4/0o/+GOzkt/SqJzo+U+tbsh+C5GXU9zOOdFZHTb+wSnN6UVQU4709EeT9zs459Tqx55fvRFMPTnRtcjmTd+/MT0P+ckpzxY1nKbY8ORDrR5Cy3Vrs5Xh4eGyZoF5zEQDAEAiQTQAACQSRAMAQCI50W1MnnTEVft8q2LdXz15fgtGUkz+c0TjcqCz8r7a2RzouvKda1FDTnQ9OdBtnd9cg2xObqf/e/J027+xnjzqRuVE1yKbN52XI92onOisd//w2DHvo51ypOU/55MTDQAA1EwQDQAAiQTRAACQSBANAACJJrZ6ALArS//93YXsp54mLvtP7+zCzrxGKg0rJKxiPBYR0h3yrsNqxYZ513tNxYYFyH7Hq7dTapxZL3lZQ/b7r4+NvZBNkWD9urWQsB5mogEAIJEgGgAAEgmiAQAgkZxoxoV68t+y7zlq3/S83oiIL73qirrelyrbXCUvJ7qdjccc6Lzc2vF4HjpN9jOqpyFLRVOUJtYrrFmzpmx5wYIFDTlO9t537r98IHkfP9nQnFxyqIeZaAAASCSIBgCARIJoAABIJIgGAIBECgvbWPaB5off1NnNPzpdXoFLttiwWUWEmzd/smLd8PCnMmve2pSxZAukIiLmP6YYaDyop6CO1vvjP76xbDl7P5k6tXy5KHn3x2yxoULC9qO5ygszEw0AAIkE0QAAkEgQDQAAieREd5C8vCR50q3VrPy9bHOEBx6obz91NXh4bNYuX64l/1kDEbpZPdf3/Luy35tdf88iImL6o9W3yX5f51Ru8sADu66XWLOm8vVGNWShvch/TmMmGgAAEgmiAQAgkSAaAAASyYmGMWhU/lg2B7phMvmTg4ctrtikIud5v53px3lquPo2U/rT9wvtoJbre7869vtQ+TxX7jPZM7nVed/hImTvSUXlSFd7tr66H9qZmWgAAEgkiAYAgESCaAAASCSIBgCARD2lUqnU6kGkGhkZif5+RUi1UJRRv2Y9dL5pRYSR1+ChBvUUEjZKtxUf/vqJynXz9m7+OOrV6eOvRS1Fg83yUPq8V6MKDfM0qyGL37X6aaZSu+Hh4ejr69vlNmaiAQAgkSAaAAASCaIBACCRnGjkl/2HZuWKbd78yarbPPDAW8d8nLryn/O0U050VrflSEdU5hl3W45xu8ue/3a6/uvIic7TqDzpP/7jG8uWp079ZEOOk+U37DnynYslJxoAABpAEA0AAIkE0QAAkEhONDXp9JyzRuWKlZ75ypj3Mbzl9xXr6smJrikHevqju379sVmV69opJ7SabsiRbuec6HYeWz3a6RnQtcjLia72nc6T+Z7XkyOdzX+OiOjf60XpY8nomfjhMe8jj98wUsmJBgCABhBEAwBAIkE0AAAkEkQDAECiia0eAJ1BUUMxRYRFKaSIsBvlFYp1WrFhOxfrtfPYqFv2ftKoZiy1yN5niyo09BtGI5iJBgCARIJoAABIJIgGAIBEcqLhP7RTznNdisiBztvHQ5kGLJ3UfCWi8xpqZLVTTnenn8tOk9dcpQjZ73mm+UpezUWr8qRruS83qkELVGMmGgAAEgmiAQAgkSAaAAASCaIBACCRwkLGpU4rIqwo9GlmI5VsIWG22KnTCg07TbaYr50KDWms7Hdry8bGHKdKoWFE5T1o+I8bM5R65N3PFRvSDGaiAQAgkSAaAAASCaIBACCRnGi6UqflPGflNTtoG3KgW+vXT1Sum7d3Y/brs6ZDVfsNkDNNEcxEAwBAIkE0AAAkEkQDAEAiOdF0vFbmPw/e/fqq28w/9P8tX3H1kWWL/XvsXvmmPTLLT/4/iSOjWw0etrhi3fynVjdmv4//aMz7pTv1/9OJlSuf3FG+fPrtZYt13S8bpJbfDXnTVGMmGgAAEgmiAQAgkSAaAAASCaIBACCRwkI6Tjs1UskWweQVzmTXzc8rJGxnD2X+W1sDjubKnv9pLTy2z3782uPNNWxTfm+rpZCwnWV/axQakmUmGgAAEgmiAQAgkSAaAAASyYmmJs3KQ87mnLVT/nNLVeQjfqN5x57+aPnyQ7Oqv6dRubPZHN2iyPXtfJ12bdQy3ux3r1lqyX8uSLOaqzRKq34baQ9mogEAIJEgGgAAEiUH0bfddluccMIJMXv27Ojp6YkbbrjhBbd9//vfHz09PXHJJZeUrX/88cdjyZIl0dfXF1OnTo0zzjgjtmzZkjoUAABoieSc6K1bt8YhhxwS733ve+PEE098we2uv/76uOOOO2L27NkVry1ZsiQeffTRuPnmm2PHjh1x+umnx9KlS+O6665LHQ5VdFpOcaeNNysvv68hz0p9LCcvuVX5k3kalZ/aKNXG28yc6SpjmX/XP1eunLd3+fKvn6h+nMx7cveb1crnRrfqmuq0a7ke2fvJHo05jPzn1h9bbnWxkoPo448/Po4//vhdbvO73/0uzjrrrPjhD38Yb3nLW8peu/fee+Omm26KO++8MxYsWBAREZdddlm8+c1vji9+8Yu5QTcAALSTwv8Te+fOnXHqqafGRz/60XjVq15V8fqqVati6tSpowF0RMTixYtjwoQJsXr16tx9btu2LUZGRsr+AACgVQoPoi+++OKYOHFifOhDH8p9fWhoKGbMmFG2buLEiTFt2rQYGhrKfc/y5cujv79/9G/fffctetgAAFCzQoPowcHB+MpXvhLXXHNN9PT0FLbfCy64IIaHh0f/NmzYUNi+AQAgVaHNVn7605/Gpk2bYs6cOaPrnn322fjIRz4Sl1xySfzmN7+JgYGB2LRpU9n7nnnmmXj88cdjYGAgd7+9vb3R29tb5FC7VrMKH/KK5Tq9aKSj5DVDeOz/KV8uqtAwr4ixmoF3FnPsVEN5T/m5eez7bafismwRYb3b1PKeagWK7XReavKn5YsDe7VmGBERQ9dX3yb73WvUd7pBzVUefPDBsuX5hzbkMB2vmb+n2RhBoeHYFBpEn3rqqbF48eKydccee2yceuqpcfrpp0dExKJFi2Lz5s0xODgY8+fPj4iIW265JXbu3BkLFy4scjgAANAQyUH0li1b4oEHHhhdXr9+fdx9990xbdq0mDNnTkyfPr1s+9133z0GBgbiFa94RUREHHjggXHcccfF+973vrjyyitjx44dsWzZsjjllFM8mQMAgI6Q/P/FrVmzJg477LA47LDDIiLi3HPPjcMOOywuuuiimvdx7bXXxrx58+KYY46JN7/5zXHkkUfGVVddlToUAABoieSZ6KOOOipKpVLN2//mN7+pWDdt2jSNVRg3KvICY16DjpTJ93wsb5tMfnA2xzIv/7lV+c31yM1xrWP8ubnV5QYPq/0++Afz78oWXNeQr11PfnNR6mnikrkOizlPNWhlfnM96vle5eVRV/0OZ+4L8DxypMem06pCAACg5QTRAACQSBANAACJBNEAAJCo0OdE03zNaq5Si+wD4zVfec7JOxpQSPjkjrreNnjY4l2+Pv+xnIKubJFdpxVw1SP7b6yh0LAu++2svs1Tw+n7zTRBWdH/sopNTp76QMW6qvar5djZYsldX3M1Gw/XXVbFdVdZJDg4J1O4OSe7RWVhZ0XhZvZ+ssfuNQ2vmsp7X0HNYjpcXnMVOpOZaAAASCSIBgCARIJoAABIJCeauuTlO2fzvORIN1e2qUU9DStqaYwxfzymNebk486/qzxftbamIjU0VylAXg50RxmP+c856mlUk5V3H6i23/nrxnzYXCu+W9nM6eQTu/+GUi0H2m9j5zITDQAAiQTRAACQSBANAACJ5ETTNLU8G1NuWG3qzZXM5kfWs5/BWU+U7/PRvesaS8fL5O1W5IrX8mzph2qYx8g+S7qW9/RX36Rhx86o5Zobt9fQ82S/V3Qmz4AeX8xEAwBAIkE0AAAkEkQDAEAiQTQAACRSWNjheiZ+uGy59MxXWjSSyqLAegosNGgpTm4BVx0NWGixOor52vnYiggbq4jiYfIVVTTYTr9r2RiCNGaiAQAgkSAaAAASCaIBACCRnGgaphE50vUem+dk8yPraYShKUSNMs1YnvPO5hz7qZ9X32agSWOhJrXkiud99+RA16eZTVH8HnUvM9EAAJBIEA0AAIkE0QAAkEhOdJdpp+dGZ9WSF1ZUnlq1/XR6jlre856LyIWsJS/Tc36hNfK/e1uaPo56nXzio007VrNynjv9t4SxMRMNAACJBNEAAJBIEA0AAIkE0QAAkEhhIW2lWUUatRSdjIeCkcrmKzlFSrlNQ2hnJ085pGx5RS3NV2h/Q40pIqwoVN6jIYcpjPt3/bIPH2BszEQDAEAiQTQAACQSRAMAQCI50YxLzcyXW7H7r8uWT94xr2nHhojKHGm6RxFNljqNfGfahZloAABIJIgGAIBEgmgAAEgkiAYAgEQKC7tc3oPVS898pQUjGb9OPvHR8hXfKaCwcI/dK1bNv2tH2fJ4LDgC6pBzPylCRVF1Q47CC9FYpfHMRAMAQCJBNAAAJBJEAwBAIjnR41A2T2o85kjXkis2Hs9LXh71/Lu2lK8Y2KtJowGer6g6h/l39ZSv2KOQ3VaoqAcpiPt3PjnQzWcmGgAAEgmiAQAgkSAaAAASyYlmXORI15Mr1rDz8mc/Ll/+ztHF7LfiWa/bi9mvHOiOs+Kpn1fd5uQphzRhJLSlcfBc6G7/XZP/3B7MRAMAQCJBNAAAJBJEAwBAIkE0AAAkUlhIhbyChU4ryuikootsMU5ExMk75o15vxUNFaLOZg1Dmq1Ap8q7DxTRXCX3vtWA5ipF3cs7vdCwk37TxhMz0QAAkEgQDQAAiQTRAACQSE40NWmnfLJm5YY169+Yl0e44ruZberJkc5tqFBQAxag8bL1CLPq2EdBjVUqGqk0IP85T959uIjfgFr2MR5+5xgbM9EAAJBIEA0AAIkE0QAAkEhONHUZD/la7ZQHnvdM1mpOHt6/Yl32mbF1PTcaaFuVz4XeUbHNiv5/bc5gOtx4+J1jbMxEAwBAIkE0AAAkEkQDAEAiQTQAACRSWMi4UEtRYLaIZPPmTzZoNNVlGxms+G56l4W84qG8YsNqssWH8+/KNIAY2Ct5nxRrxVM/H/N7Tp5ySFHDoR7ZxioFKaqIsFnNVbKGt/y+6jb13N+hCGaiAQAgkSAaAAASCaIBACCRnGj4D9m8umwuXl5uXv9eL2romIqWzY98Wbys6nsqmzdk5OVyypOGXWtQDnSnKyoHGprBTDQAACQSRAMAQCJBNAAAJBJEAwBAIoWF8AJqKRrMFsE0qtCwiOYrebJFg9nGKnlq2UZDljHIFpw5d90h87nW9j2qUtSbo6jmKs1SrZCw04q3GV/MRAMAQKLkIPq2226LE044IWbPnh09PT1xww03VGxz7733xtve9rbo7++PPffcM4444oh4+OGHR19/+umn48wzz4zp06fHXnvtFSeddFJs3LhxTP8QAABoluQgeuvWrXHIIYfE5Zdfnvv6v/7rv8aRRx4Z8+bNi5/85Cfxi1/8Ii688MKYPHny6DbnnHNOfP/7348VK1bErbfeGo888kiceOKJ9f8rAACgiZJzoo8//vg4/vjjX/D1v/zLv4w3v/nN8YUvfGF03f777z/6v4eHh+Mb3/hGXHfddfHGN74xIiKuvvrqOPDAA+OOO+6I1772talDgrbRDQ1ZsmrJ3ayqnsYS4yEXuNMabtQy3lZ9bs1s+tOkz62Q714dsjUYRamlkUqn3y8ZXwrNid65c2f80z/9U7z85S+PY489NmbMmBELFy4sS/kYHByMHTt2xOLFi0fXzZs3L+bMmROrVq3K3e+2bdtiZGSk7A8AAFql0CB606ZNsWXLlvj85z8fxx13XPzoRz+Kd77znXHiiSfGrbfeGhERQ0NDMWnSpJg6dWrZe2fOnBlDQ0O5+12+fHn09/eP/u27775FDhsAAJIUPhMdEfH2t789zjnnnDj00EPj/PPPj7e+9a1x5ZVX1r3fCy64IIaHh0f/NmzYUNSQAQAgWaHPid5nn31i4sSJ8cpXvrJs/YEHHhi33357REQMDAzE9u3bY/PmzWWz0Rs3boyBgYHc/fb29kZvb2+RQ2Wc6Zn44bLl0jNfKWS/2fy9vJy/RjwHNS9nsahnR7eNZua4jmxrzH6r2WP36ttkxrZi9183ZCgrnvp5xbqTd8wrX1HHeJumw/Of65V9lvSD/en7KCoHupac56xG5UBn7/nQCIXORE+aNCmOOOKIWLduXdn6++67L/bbb7+IiJg/f37svvvusXLlytHX161bFw8//HAsWrSoyOEAAEBDJM9Eb9myJR544IHR5fXr18fdd98d06ZNizlz5sRHP/rR+LM/+7N4wxveEEcffXTcdNNN8f3vfz9+8pOfREREf39/nHHGGXHuuefGtGnToq+vL84666xYtGiRJ3MAANARkoPoNWvWxNFHHz26fO6550ZExGmnnRbXXHNNvPOd74wrr7wyli9fHh/60IfiFa94RfzDP/xDHHnkkaPv+fKXvxwTJkyIk046KbZt2xbHHntsfO1rXyvgnwMAAI2XHEQfddRRUSrt+tmV733ve+O9733vC74+efLkuPzyy1+wYQsAALSzQgsLoVPUUnRST/FhXpFMtWIbDQgSZIu8iiome3JH+XItBXS0VvYz6yuo+LyNCgnnr5tUtjz4iu0tGkl9RYPNooiQVim0sBAAAMYDQTQAACQSRAMAQKKeUrUqwTY0MjIS/f11PFEexqDeBi3tlEvYv+KEXW9QRy5wXp5mtgFEYerJVc7mztaSR92qhiF1KqIBS0VjlXZXTw50PZ9r9vopyOBh5T+92fznmlUb3/84vGLV8PCn6jvWGNVT2yHfmVYZHh6Ovr6+XW5jJhoAABIJogEAIJEgGgAAEnlONNQoLzev3jzplsnmR/7N2jHvMi+Xc/Cw7VW3qdCg3NO68qiz+bYdliPdlZqVA12PWq6xzPVddw50NZnveKvyn+slB5pOYiYaAAASCaIBACCRIBoAABIJogEAIJHCQhiDdiqC2bz5k60eQmfIKzarVrSW93obFRtmG6UU0Xylpdq5iLBOlc1VWjSQHFOnfrLVQ4COZCYaAAASCaIBACCRIBoAABL1lEqlUvXN2svIyEj09/e3ehjQcSq+7tlmK/U0JmmUWpqvNGq8XZiT29ba6Xy38rqrR3a8mWYrPT09TRwMdI/h4eHo6+vb5TZmogEAIJEgGgAAEgmiAQAgkSAaAAASabYC40i1IqPS1wcrVxZRRJVXrNVOxVlZtRStZYvhsssKDfPVUkTY6ecu53qvbLYyqZD9KiSE1jETDQAAiQTRAACQSBANAACJNFsBdimbJ53N7cxTke9ZSwOLIrRznjXtp1nXZUTFtTn4iu1V3zL/rvL85p73zS90SMAL02wFAAAaQBANAACJBNEAAJDIc6KBxsvLVW5mPiqtk/2c5a1HRGXdQC050kB7MRMNAACJBNEAAJBIEA0AAIkE0QAAkEhhIbBL2QYPa9asadFIapBXrKiQrbXa6fy3UdOfWgoJNVeB9mYmGgAAEgmiAQAgkSAaAAASyYkGksy/q6dsefCwUjE7riV3VoOWxuV9yyfP16TrMvu9AtqfmWgAAEgkiAYAgESCaAAASCQnGkhSy3Ojs8/Anb9uUuWOsrmm2bzSvFzUau/JUTGWWnJPOy0X+L8dPPZ9/M3ase+jmWr57DP5+oV99rVcq0DXMxMNAACJBNEAAJBIEA0AAIkE0QAAkEhhITAmecVahTVgaYBaxjb/rhqaZ1QrJmtU85L/cfjY91Hrfq/7ZWOOVY/M+WznayxPtQLXbMEu0P7MRAMAQCJBNAAAJBJEAwBAop5SqdRZiWURMTIyEv39/a0eBvACSl8fLFvOy1+tqfFFA9SWE92gsdXTyKOeHOhnL62+zW4fSt9vtiFLPf+egrT0c6yilutdDjS0t+Hh4ejr69vlNmaiAQAgkSAaAAASCaIBACCRIBoAABIpLAQAgOdRWAgAAA0giAYAgEQdGUR3YAYKAAAdopZYsyOD6CeeeKLVQwAAoEvVEmt2ZGHhzp0745FHHolSqRRz5syJDRs2VE3+Jt3IyEjsu+++zm8DOLeN5fw2jnPbWM5v4zi3jdUt57dUKsUTTzwRs2fPjgkTdj3XPLFJYyrUhAkT4iUveUmMjIxERERfX19Hf2DtzvltHOe2sZzfxnFuG8v5bRzntrG64fzW+gS4jkznAACAVhJEAwBAoo4Oont7e+MTn/hE9Pb2tnooXcn5bRzntrGc38ZxbhvL+W0c57axxuP57cjCQgAAaKWOnokGAIBWEEQDAEAiQTQAACQSRAMAQKKODqIvv/zyeOlLXxqTJ0+OhQsXxs9+9rNWD6njLF++PI444ojYe++9Y8aMGfGOd7wj1q1bV7bN008/HWeeeWZMnz499tprrzjppJNi48aNLRpx5/r85z8fPT09cfbZZ4+uc27H5ne/+138+Z//eUyfPj2mTJkSBx98cKxZs2b09VKpFBdddFHMmjUrpkyZEosXL47777+/hSPuHM8++2xceOGFMXfu3JgyZUrsv//+8Vd/9Vfx/Fp057c2t912W5xwwgkxe/bs6OnpiRtuuKHs9VrO4+OPPx5LliyJvr6+mDp1apxxxhmxZcuWJv4r2teuzu+OHTvivPPOi4MPPjj23HPPmD17drznPe+JRx55pGwfzm++atfu873//e+Pnp6euOSSS8rWd/O57dgg+jvf+U6ce+658YlPfCLWrl0bhxxySBx77LGxadOmVg+to9x6661x5plnxh133BE333xz7NixI970pjfF1q1bR7c555xz4vvf/36sWLEibr311njkkUfixBNPbOGoO8+dd94Zf/3Xfx2vfvWry9Y7t/X7/e9/H69//etj9913jx/84Afxq1/9Kv7P//k/8aIXvWh0my984Qtx6aWXxpVXXhmrV6+OPffcM4499th4+umnWzjyznDxxRfHFVdcEV/96lfj3nvvjYsvvji+8IUvxGWXXTa6jfNbm61bt8YhhxwSl19+ee7rtZzHJUuWxL/8y7/EzTffHDfeeGPcdtttsXTp0mb9E9rars7vk08+GWvXro0LL7ww1q5dG9/97ndj3bp18ba3va1sO+c3X7Vr9w+uv/76uOOOO2L27NkVr3X1uS11qNe85jWlM888c3T52WefLc2ePbu0fPnyFo6q823atKkUEaVbb721VCqVSps3by7tvvvupRUrVoxuc++995YiorRq1apWDbOjPPHEE6UDDjigdPPNN5f+5E/+pPThD3+4VCo5t2N13nnnlY488sgXfH3nzp2lgYGB0v/+3/97dN3mzZtLvb29pW9961vNGGJHe8tb3lJ673vfW7buxBNPLC1ZsqRUKjm/9YqI0vXXXz+6XMt5/NWvflWKiNKdd945us0PfvCDUk9PT+l3v/td08beCbLnN8/PfvazUkSUHnrooVKp5PzW6oXO7W9/+9vSi1/84tI999xT2m+//Upf/vKXR1/r9nPbkTPR27dvj8HBwVi8ePHougkTJsTixYtj1apVLRxZ5xseHo6IiGnTpkVExODgYOzYsaPsXM+bNy/mzJnjXNfozDPPjLe85S1l5zDCuR2r733ve7FgwYI4+eSTY8aMGXHYYYfF17/+9dHX169fH0NDQ2Xnt7+/PxYuXOj81uB1r3tdrFy5Mu67776IiPj5z38et99+exx//PER4fwWpZbzuGrVqpg6dWosWLBgdJvFixfHhAkTYvXq1U0fc6cbHh6Onp6emDp1akQ4v2Oxc+fOOPXUU+OjH/1ovOpVr6p4vdvP7cRWD6Ae//7v/x7PPvtszJw5s2z9zJkz49e//nWLRtX5du7cGWeffXa8/vWvj4MOOigiIoaGhmLSpEmjN5s/mDlzZgwNDbVglJ3l29/+dqxduzbuvPPOitec27F58MEH44orrohzzz03/tf/+l9x5513xoc+9KGYNGlSnHbaaaPnMO8+4fxWd/7558fIyEjMmzcvdtttt3j22Wfjs5/9bCxZsiQiwvktSC3ncWhoKGbMmFH2+sSJE2PatGnOdaKnn346zjvvvHj3u98dfX19EeH8jsXFF18cEydOjA996EO5r3f7ue3IIJrGOPPMM+Oee+6J22+/vdVD6QobNmyID3/4w3HzzTfH5MmTWz2crrNz585YsGBBfO5zn4uIiMMOOyzuueeeuPLKK+O0005r8eg639///d/HtddeG9ddd1286lWvirvvvjvOPvvsmD17tvNLR9qxY0e8613vilKpFFdccUWrh9PxBgcH4ytf+UqsXbs2enp6Wj2clujIdI599tkndtttt4qnGGzcuDEGBgZaNKrOtmzZsrjxxhvjxz/+cbzkJS8ZXT8wMBDbt2+PzZs3l23vXFc3ODgYmzZtisMPPzwmTpwYEydOjFtvvTUuvfTSmDhxYsycOdO5HYNZs2bFK1/5yrJ1Bx54YDz88MMREaPn0H2iPh/96Efj/PPPj1NOOSUOPvjgOPXUU+Occ86J5cuXR4TzW5RazuPAwEBF0fwzzzwTjz/+uHNdoz8E0A899FDcfPPNo7PQEc5vvX7605/Gpk2bYs6cOaO/cQ899FB85CMfiZe+9KUR0f3ntiOD6EmTJsX8+fNj5cqVo+t27twZK1eujEWLFrVwZJ2nVCrFsmXL4vrrr49bbrkl5s6dW/b6/PnzY/fddy871+vWrYuHH37Yua7imGOOiV/+8pdx9913j/4tWLAglixZMvq/ndv6vf71r694HON9990X++23X0REzJ07NwYGBsrO78jISKxevdr5rcGTTz4ZEyaU/0TstttusXPnzohwfotSy3lctGhRbN68OQYHB0e3ueWWW2Lnzp2xcOHCpo+50/whgL7//vvjn//5n2P69Ollrzu/9Tn11FPjF7/4Rdlv3OzZs+OjH/1o/PCHP4yIcXBuW13ZWK9vf/vbpd7e3tI111xT+tWvflVaunRpaerUqaWhoaFWD62jfOADHyj19/eXfvKTn5QeffTR0b8nn3xydJv3v//9pTlz5pRuueWW0po1a0qLFi0qLVq0qIWj7lzPfzpHqeTcjsXPfvaz0sSJE0uf/exnS/fff3/p2muvLe2xxx6lv/u7vxvd5vOf/3xp6tSppX/8x38s/eIXvyi9/e1vL82dO7f01FNPtXDkneG0004rvfjFLy7deOONpfXr15e++93vlvbZZ5/Sxz72sdFtnN/aPPHEE6W77rqrdNddd5UiovSlL32pdNddd40+HaKW83jccceVDjvssNLq1atLt99+e+mAAw4ovfvd727VP6mt7Or8bt++vfS2t72t9JKXvKR09913l/3Obdu2bXQfzm++atduVvbpHKVSd5/bjg2iS6VS6bLLLivNmTOnNGnSpNJrXvOa0h133NHqIXWciMj9u/rqq0e3eeqpp0of/OAHSy960YtKe+yxR+md73xn6dFHH23doDtYNoh2bsfm+9//fumggw4q9fb2lubNm1e66qqryl7fuXNn6cILLyzNnDmz1NvbWzrmmGNK69ata9FoO8vIyEjpwx/+cGnOnDmlyZMnl172speV/vIv/7Is8HB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+ "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(figsize=(10, 10))\n", "plt.imshow(sf_rsp.get_slice_image(1, 5000), interpolation='none')" @@ -795,12 +1024,13 @@ }, { "cell_type": "markdown", + "id": "4b27be9e", "metadata": { "papermill": { - "duration": 0.0072, - "end_time": "2022-11-22T18:28:11.891795", + "duration": 0.008336, + "end_time": "2022-12-13T22:02:06.332457", "exception": false, - "start_time": "2022-11-22T18:28:11.884595", + "start_time": "2022-12-13T22:02:06.324121", "status": "completed" }, "tags": [] @@ -813,12 +1043,13 @@ }, { "cell_type": "markdown", + "id": "f911d807", "metadata": { "papermill": { - "duration": 0.006823, - "end_time": "2022-11-22T18:28:11.905567", + "duration": 0.008802, + "end_time": "2022-12-13T22:02:06.349742", "exception": false, - "start_time": "2022-11-22T18:28:11.898744", + "start_time": "2022-12-13T22:02:06.340940", "status": "completed" }, "tags": [] @@ -833,19 +1064,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, + "id": "ac4f7819", "metadata": { "execution": { - "iopub.execute_input": "2022-11-22T18:28:11.920955Z", - "iopub.status.busy": "2022-11-22T18:28:11.920459Z", - "iopub.status.idle": "2022-11-22T18:28:12.431805Z", - "shell.execute_reply": "2022-11-22T18:28:12.431182Z" + "iopub.execute_input": "2022-12-13T22:02:06.368142Z", + "iopub.status.busy": "2022-12-13T22:02:06.367402Z", + "iopub.status.idle": "2022-12-13T22:02:06.857631Z", + "shell.execute_reply": "2022-12-13T22:02:06.856894Z" }, "papermill": { - "duration": 0.520914, - "end_time": "2022-11-22T18:28:12.433396", + "duration": 0.502153, + "end_time": "2022-12-13T22:02:06.860001", "exception": false, - "start_time": "2022-11-22T18:28:11.912482", + "start_time": "2022-12-13T22:02:06.357848", "status": "completed" }, "tags": [] @@ -860,12 +1092,13 @@ { "cell_type": "code", "execution_count": null, + "id": "5b6f8c6d", "metadata": { "papermill": { - "duration": 0.0073, - "end_time": "2022-11-22T18:28:12.448087", + "duration": 0.009214, + "end_time": "2022-12-13T22:02:06.878652", "exception": false, - "start_time": "2022-11-22T18:28:12.440787", + "start_time": "2022-12-13T22:02:06.869438", "status": "completed" }, "tags": [] @@ -891,21 +1124,21 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.3" + "version": "3.8.15" }, "papermill": { "default_parameters": {}, - "duration": 42.925203, - "end_time": "2022-11-22T18:28:12.771572", + "duration": 52.763758, + "end_time": "2022-12-13T22:02:07.406304", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/reference_space.ipynb", - "output_path": "/tmp/tmp5neyt2ej/scratch_nb.ipynb", + "output_path": "/tmp/tmpqtmo8l03/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp5neyt2ej", + "output_dir": "/tmp/tmpqtmo8l03", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-11-22T18:27:29.846369", + "start_time": "2022-12-13T22:01:14.642546", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb index 04be1d026..74fb21cf9 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb @@ -5,10 +5,10 @@ "id": "182038b8", "metadata": { "papermill": { - "duration": 0.011708, - "end_time": "2022-12-09T21:18:36.308814", + "duration": 0.01141, + "end_time": "2022-12-13T21:52:01.373702", "exception": false, - "start_time": "2022-12-09T21:18:36.297106", + "start_time": "2022-12-13T21:52:01.362292", "status": "completed" }, "pycharm": { @@ -26,10 +26,10 @@ "id": "691c83eb", "metadata": { "papermill": { - "duration": 0.010351, - "end_time": "2022-12-09T21:18:36.330613", + "duration": 0.009176, + "end_time": "2022-12-13T21:52:01.392470", "exception": false, - "start_time": "2022-12-09T21:18:36.320262", + "start_time": "2022-12-13T21:52:01.383294", "status": "completed" }, "pycharm": { @@ -46,10 +46,10 @@ "id": "7856ffdc", "metadata": { "papermill": { - "duration": 0.011163, - "end_time": "2022-12-09T21:18:36.352940", + "duration": 0.008983, + "end_time": "2022-12-13T21:52:01.410540", "exception": false, - "start_time": "2022-12-09T21:18:36.341777", + "start_time": "2022-12-13T21:52:01.401557", "status": "completed" }, "pycharm": { @@ -66,10 +66,10 @@ "id": "d8f75232", "metadata": { "papermill": { - "duration": 0.01136, - "end_time": "2022-12-09T21:18:36.375188", + "duration": 0.00898, + "end_time": "2022-12-13T21:52:01.428636", "exception": false, - "start_time": "2022-12-09T21:18:36.363828", + "start_time": "2022-12-13T21:52:01.419656", "status": "completed" }, "pycharm": { @@ -87,16 +87,16 @@ "id": "59984c1f", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:36.399703Z", - "iopub.status.busy": "2022-12-09T21:18:36.399063Z", - "iopub.status.idle": "2022-12-09T21:18:39.271705Z", - "shell.execute_reply": "2022-12-09T21:18:39.270641Z" + "iopub.execute_input": "2022-12-13T21:52:01.448712Z", + "iopub.status.busy": "2022-12-13T21:52:01.448069Z", + "iopub.status.idle": "2022-12-13T21:52:03.556477Z", + "shell.execute_reply": "2022-12-13T21:52:03.555334Z" }, "papermill": { - "duration": 2.888744, - "end_time": "2022-12-09T21:18:39.274903", + "duration": 2.121857, + "end_time": "2022-12-13T21:52:03.559559", "exception": false, - "start_time": "2022-12-09T21:18:36.386159", + "start_time": "2022-12-13T21:52:01.437702", "status": "completed" }, "pycharm": { @@ -110,75 +110,75 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - 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"Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", + "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", - "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", - "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", + "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", - "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", + "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" @@ -194,10 +194,10 @@ "id": "53c1b26a", "metadata": { "papermill": { - "duration": 0.012502, - "end_time": "2022-12-09T21:18:39.302698", + "duration": 0.009912, + "end_time": "2022-12-13T21:52:03.580812", "exception": false, - "start_time": "2022-12-09T21:18:39.290196", + "start_time": "2022-12-13T21:52:03.570900", "status": "completed" }, "pycharm": { @@ -214,10 +214,10 @@ "id": "822342b5", "metadata": { "papermill": { - "duration": 0.011333, - "end_time": "2022-12-09T21:18:39.325965", + "duration": 0.009753, + "end_time": "2022-12-13T21:52:03.600393", "exception": false, - "start_time": "2022-12-09T21:18:39.314632", + "start_time": "2022-12-13T21:52:03.590640", "status": "completed" }, "pycharm": { @@ -238,16 +238,16 @@ "id": "3ed2ca97", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:39.351366Z", - "iopub.status.busy": "2022-12-09T21:18:39.350507Z", - "iopub.status.idle": "2022-12-09T21:18:44.634846Z", - "shell.execute_reply": "2022-12-09T21:18:44.633535Z" + "iopub.execute_input": "2022-12-13T21:52:03.621933Z", + "iopub.status.busy": "2022-12-13T21:52:03.621336Z", + "iopub.status.idle": "2022-12-13T21:52:07.614663Z", + "shell.execute_reply": "2022-12-13T21:52:07.613283Z" }, "papermill": { - "duration": 5.299888, - "end_time": "2022-12-09T21:18:44.637616", + "duration": 4.006874, + "end_time": "2022-12-13T21:52:07.617013", "exception": false, - "start_time": "2022-12-09T21:18:39.337728", + "start_time": "2022-12-13T21:52:03.610139", "status": "completed" }, "pycharm": { @@ -262,76 +262,76 @@ "text": [ "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - 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"Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", + "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", + "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", - "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", + "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", - "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", + "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", + "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", - "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", + "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -347,10 +347,10 @@ "id": "aa242edf", "metadata": { "papermill": { - "duration": 0.012559, - "end_time": "2022-12-09T21:18:44.662882", + "duration": 0.010728, + "end_time": "2022-12-13T21:52:07.639626", "exception": false, - "start_time": "2022-12-09T21:18:44.650323", + "start_time": "2022-12-13T21:52:07.628898", "status": "completed" }, "pycharm": { @@ -368,16 +368,16 @@ "id": "d9dcf57c", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:44.689189Z", - "iopub.status.busy": "2022-12-09T21:18:44.688507Z", - "iopub.status.idle": "2022-12-09T21:18:52.487963Z", - "shell.execute_reply": "2022-12-09T21:18:52.486968Z" + "iopub.execute_input": "2022-12-13T21:52:07.663199Z", + "iopub.status.busy": "2022-12-13T21:52:07.662481Z", + "iopub.status.idle": "2022-12-13T21:52:13.353499Z", + "shell.execute_reply": "2022-12-13T21:52:13.352757Z" }, "papermill": { - "duration": 7.815445, - "end_time": "2022-12-09T21:18:52.490294", + "duration": 5.70518, + "end_time": "2022-12-13T21:52:13.355325", "exception": false, - "start_time": "2022-12-09T21:18:44.674849", + "start_time": "2022-12-13T21:52:07.650145", "status": "completed" }, "pycharm": { @@ -422,16 +422,16 @@ "id": "96901062", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:52.520980Z", - "iopub.status.busy": "2022-12-09T21:18:52.520023Z", - "iopub.status.idle": "2022-12-09T21:18:52.531205Z", - "shell.execute_reply": "2022-12-09T21:18:52.529598Z" + "iopub.execute_input": "2022-12-13T21:52:13.378902Z", + "iopub.status.busy": "2022-12-13T21:52:13.378195Z", + "iopub.status.idle": "2022-12-13T21:52:13.384954Z", + "shell.execute_reply": "2022-12-13T21:52:13.384302Z" }, "papermill": { - "duration": 0.029317, - "end_time": "2022-12-09T21:18:52.534507", + "duration": 0.020118, + "end_time": "2022-12-13T21:52:13.386534", "exception": false, - "start_time": "2022-12-09T21:18:52.505190", + "start_time": "2022-12-13T21:52:13.366416", "status": "completed" }, "pycharm": { @@ -449,10 +449,10 @@ "id": "069f6fd6", "metadata": { "papermill": { - "duration": 0.012161, - "end_time": "2022-12-09T21:18:52.559246", + "duration": 0.010502, + "end_time": "2022-12-13T21:52:13.407614", "exception": false, - "start_time": "2022-12-09T21:18:52.547085", + "start_time": "2022-12-13T21:52:13.397112", "status": "completed" }, "pycharm": { @@ -470,16 +470,16 @@ "id": "f373c7d4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:52.588740Z", - "iopub.status.busy": "2022-12-09T21:18:52.587949Z", - "iopub.status.idle": "2022-12-09T21:18:52.596084Z", - "shell.execute_reply": "2022-12-09T21:18:52.595235Z" + "iopub.execute_input": "2022-12-13T21:52:13.430424Z", + "iopub.status.busy": "2022-12-13T21:52:13.429775Z", + "iopub.status.idle": "2022-12-13T21:52:13.435834Z", + "shell.execute_reply": "2022-12-13T21:52:13.435203Z" }, "papermill": { - "duration": 0.026579, - "end_time": "2022-12-09T21:18:52.598187", + "duration": 0.019141, + "end_time": "2022-12-13T21:52:13.437303", "exception": false, - "start_time": "2022-12-09T21:18:52.571608", + "start_time": "2022-12-13T21:52:13.418162", "status": "completed" }, "pycharm": { @@ -492,7 +492,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_2002/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + "/tmp/ipykernel_2105/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", " from IPython.core.display import display, HTML\n" ] }, @@ -520,16 +520,16 @@ "id": "669d43ec", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:52.627147Z", - "iopub.status.busy": "2022-12-09T21:18:52.625220Z", - "iopub.status.idle": "2022-12-09T21:18:52.631280Z", - "shell.execute_reply": "2022-12-09T21:18:52.630082Z" + "iopub.execute_input": "2022-12-13T21:52:13.460242Z", + "iopub.status.busy": "2022-12-13T21:52:13.459624Z", + "iopub.status.idle": "2022-12-13T21:52:13.463008Z", + "shell.execute_reply": "2022-12-13T21:52:13.462320Z" }, "papermill": { - "duration": 0.021877, - "end_time": "2022-12-09T21:18:52.633555", + "duration": 0.016534, + "end_time": "2022-12-13T21:52:13.464565", "exception": false, - "start_time": "2022-12-09T21:18:52.611678", + "start_time": "2022-12-13T21:52:13.448031", "status": "completed" }, "pycharm": { @@ -550,16 +550,16 @@ "id": "f9fb73be", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:52.699401Z", - "iopub.status.busy": "2022-12-09T21:18:52.698288Z", - "iopub.status.idle": "2022-12-09T21:18:54.658139Z", - "shell.execute_reply": "2022-12-09T21:18:54.657090Z" + "iopub.execute_input": "2022-12-13T21:52:13.514413Z", + "iopub.status.busy": "2022-12-13T21:52:13.513845Z", + "iopub.status.idle": "2022-12-13T21:52:16.478192Z", + "shell.execute_reply": "2022-12-13T21:52:16.477412Z" }, "papermill": { - "duration": 1.979527, - "end_time": "2022-12-09T21:18:54.661321", + "duration": 2.977998, + "end_time": "2022-12-13T21:52:16.480344", "exception": false, - "start_time": "2022-12-09T21:18:52.681794", + "start_time": "2022-12-13T21:52:13.502346", "status": "completed" }, "pycharm": { @@ -580,14 +580,14 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp2zk29ydk/_downloaded_data.json\n", + "/tmp/tmp6fcnl093/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.98MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 9.28MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 5.63MMB/s]\n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 22.1MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.47MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.12MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.43MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 13.9MMB/s]\n" ] } ], @@ -602,10 +602,10 @@ "id": "455d84bf", "metadata": { "papermill": { - "duration": 0.014567, - "end_time": "2022-12-09T21:18:54.691279", + "duration": 0.047413, + "end_time": "2022-12-13T21:52:16.559274", "exception": false, - "start_time": "2022-12-09T21:18:54.676712", + "start_time": "2022-12-13T21:52:16.511861", "status": "completed" }, "pycharm": { @@ -623,16 +623,16 @@ "id": "0488c899", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:18:54.722237Z", - "iopub.status.busy": "2022-12-09T21:18:54.721572Z", - "iopub.status.idle": "2022-12-09T21:18:54.754983Z", - "shell.execute_reply": "2022-12-09T21:18:54.754014Z" + "iopub.execute_input": "2022-12-13T21:52:16.603611Z", + "iopub.status.busy": "2022-12-13T21:52:16.602936Z", + "iopub.status.idle": "2022-12-13T21:52:16.628636Z", + "shell.execute_reply": "2022-12-13T21:52:16.627828Z" }, "papermill": { - "duration": 0.052481, - "end_time": "2022-12-09T21:18:54.758102", + "duration": 0.058233, + "end_time": "2022-12-13T21:52:16.630951", "exception": false, - "start_time": "2022-12-09T21:18:54.705621", + "start_time": "2022-12-13T21:52:16.572718", "status": "completed" }, "pycharm": { @@ -719,144 +719,144 @@ " \n", " \n", " \n", - " 982343741\n", - " MESO.1\n", + " 1001535125\n", + " CAM2P.3\n", " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 482853\n", + " 489056\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Sst-IRES-Cre]\n", " M\n", - " 136.0\n", + " 170.0\n", " Sst-IRES-Cre\n", " GCaMP6f\n", - " 6.0\n", - " 1.0\n", + " 2.0\n", + " 0.0\n", + " 34.0\n", " 3.0\n", - " 7.0\n", - " 981845703\n", - " 981954859\n", - " 1018028215\n", - " VisualBehaviorMultiscope\n", - " 229\n", - " VISl\n", - " 2019-11-13 13:35:56.285576\n", - " OPHYS_6_images_B\n", - " Novel >1\n", - " False\n", + " 1001381149\n", + " 1001417592\n", + " 999191979\n", + " VisualBehaviorTask1B\n", + " 275\n", + " VISp\n", + " 2020-01-21 19:08:01.000000\n", + " OPHYS_2_images_B_passive\n", + " Familiar\n", + " True\n", " B\n", - " 1085393932\n", + " 1003077270\n", " \n", " \n", - " 1086071428\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 547486\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " 934476801\n", + " CAM2P.3\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 467951\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " [Vip-IRES-Cre]\n", " M\n", - " 197.0\n", - " Slc17a7-IRES2-Cre\n", + " 134.0\n", + " Vip-IRES-Cre\n", " GCaMP6f\n", - " 2.0\n", + " 3.0\n", " 0.0\n", - " 40.0\n", + " 28.0\n", " 2.0\n", - " 1085896207\n", - " 1085947730\n", - " 1084230234\n", - " VisualBehaviorMultiscope\n", - " 179\n", + " 933463604\n", + " 933830753\n", + " 928325203\n", + " VisualBehaviorTask1B\n", + " 175\n", " VISp\n", - " 2021-02-23 08:06:26.000000\n", - " OPHYS_2_images_A_passive\n", + " 2019-08-28 17:07:19.000000\n", + " OPHYS_3_images_B\n", " Familiar\n", - " True\n", - " A\n", - " 1120143755\n", + " False\n", + " B\n", + " 934570286\n", " \n", " \n", - " 949723721\n", + " 991852001\n", " MESO.1\n", - " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 453991\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", - " [Vip-IRES-Cre]\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 479839\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 222.0\n", - " Vip-IRES-Cre\n", + " 171.0\n", + " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 5.0\n", - " 0.0\n", + " 6.0\n", " 1.0\n", - " 8.0\n", - " 949217880\n", - " 949348713\n", - " 1022731540\n", + " 3.0\n", + " 6.0\n", + " 991639544\n", + " 991662910\n", + " 1018028052\n", " VisualBehaviorMultiscope\n", - " 150\n", - " VISl\n", - " 2019-09-18 10:41:11.695425\n", - " OPHYS_5_images_B_passive\n", + " 259\n", + " VISp\n", + " 2019-12-02 08:27:10.948347\n", + " OPHYS_6_images_B\n", " Novel >1\n", - " True\n", + " False\n", " B\n", - " 1085400406\n", + " 1085399983\n", " \n", " \n", - " 940433480\n", + " 917820375\n", " MESO.1\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 453988\n", + " 453990\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", " M\n", - " 209.0\n", + " 178.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", - " 5.0\n", - " 1.0\n", - " 5.0\n", - " 9.0\n", - " 939526443\n", - " 939538572\n", - " 1026722876\n", + " 2.0\n", + " 0.0\n", + " 47.0\n", + " 2.0\n", + " 917498735\n", + " 917595407\n", + " 1018028182\n", " VisualBehaviorMultiscope\n", - " 300\n", + " 142\n", " VISl\n", - " 2019-09-05 09:19:35.394918\n", - " OPHYS_5_images_B_passive\n", - " Novel >1\n", + " 2019-08-05 13:38:55.000000\n", + " OPHYS_2_images_A_passive\n", + " Familiar\n", " True\n", - " B\n", - " 1085400188\n", + " A\n", + " 1085401025\n", " \n", " \n", - " 968717796\n", + " 886585134\n", " MESO.1\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 477052\n", + " 451787\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 137.0\n", + " 134.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 5.0\n", - " 0.0\n", " 2.0\n", - " 5.0\n", - " 968504496\n", - " 968604937\n", - " 1018028018\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 175\n", - " VISp\n", - " 2019-10-16 13:39:06.239820\n", - " OPHYS_5_images_H_passive\n", - " Novel >1\n", + " 1.0\n", + " 25.0\n", + " 7.0\n", + " 886367984\n", + " 886440437\n", + " 1018027558\n", + " VisualBehaviorMultiscope\n", + " 150\n", + " VISl\n", + " 2019-06-13 12:21:05.000000\n", + " OPHYS_2_images_A_passive\n", + " Familiar\n", " True\n", - " H\n", - " 1120140502\n", + " A\n", + " 1085673964\n", " \n", " \n", "\n", @@ -865,107 +865,107 @@ "text/plain": [ " equipment_name \\\n", "ophys_experiment_id \n", - "982343741 MESO.1 \n", - "1086071428 MESO.1 \n", - "949723721 MESO.1 \n", - "940433480 MESO.1 \n", - "968717796 MESO.1 \n", + "1001535125 CAM2P.3 \n", + "934476801 CAM2P.3 \n", + "991852001 MESO.1 \n", + "917820375 MESO.1 \n", + "886585134 MESO.1 \n", "\n", " full_genotype \\\n", "ophys_experiment_id \n", - "982343741 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "1086071428 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "949723721 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "940433480 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "968717796 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "1001535125 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "934476801 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "991852001 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "917820375 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "886585134 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", "\n", " mouse_id reporter_line \\\n", "ophys_experiment_id \n", - "982343741 482853 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "1086071428 547486 Ai93(TITL-GCaMP6f) \n", - "949723721 453991 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "940433480 453988 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "968717796 477052 Ai93(TITL-GCaMP6f) \n", + "1001535125 489056 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "934476801 467951 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "991852001 479839 Ai93(TITL-GCaMP6f) \n", + "917820375 453990 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "886585134 451787 Ai93(TITL-GCaMP6f) \n", "\n", " driver_line sex age_in_days \\\n", "ophys_experiment_id \n", - "982343741 [Sst-IRES-Cre] M 136.0 \n", - "1086071428 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 197.0 \n", - "949723721 [Vip-IRES-Cre] M 222.0 \n", - "940433480 [Vip-IRES-Cre] M 209.0 \n", - "968717796 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 137.0 \n", + "1001535125 [Sst-IRES-Cre] M 170.0 \n", + "934476801 [Vip-IRES-Cre] M 134.0 \n", + "991852001 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 171.0 \n", + "917820375 [Vip-IRES-Cre] M 178.0 \n", + "886585134 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 134.0 \n", "\n", " cre_line indicator session_number \\\n", "ophys_experiment_id \n", - "982343741 Sst-IRES-Cre GCaMP6f 6.0 \n", - "1086071428 Slc17a7-IRES2-Cre GCaMP6f 2.0 \n", - "949723721 Vip-IRES-Cre GCaMP6f 5.0 \n", - "940433480 Vip-IRES-Cre GCaMP6f 5.0 \n", - "968717796 Slc17a7-IRES2-Cre GCaMP6f 5.0 \n", + "1001535125 Sst-IRES-Cre GCaMP6f 2.0 \n", + "934476801 Vip-IRES-Cre GCaMP6f 3.0 \n", + "991852001 Slc17a7-IRES2-Cre GCaMP6f 6.0 \n", + "917820375 Vip-IRES-Cre GCaMP6f 2.0 \n", + "886585134 Slc17a7-IRES2-Cre GCaMP6f 2.0 \n", "\n", " prior_exposures_to_session_type \\\n", "ophys_experiment_id \n", - "982343741 1.0 \n", - "1086071428 0.0 \n", - "949723721 0.0 \n", - "940433480 1.0 \n", - "968717796 0.0 \n", + "1001535125 0.0 \n", + "934476801 0.0 \n", + "991852001 1.0 \n", + "917820375 0.0 \n", + "886585134 1.0 \n", "\n", " prior_exposures_to_image_set \\\n", "ophys_experiment_id \n", - "982343741 3.0 \n", - "1086071428 40.0 \n", - "949723721 1.0 \n", - "940433480 5.0 \n", - "968717796 2.0 \n", + "1001535125 34.0 \n", + "934476801 28.0 \n", + "991852001 3.0 \n", + "917820375 47.0 \n", + "886585134 25.0 \n", "\n", " prior_exposures_to_omissions ophys_session_id \\\n", "ophys_experiment_id \n", - "982343741 7.0 981845703 \n", - "1086071428 2.0 1085896207 \n", - "949723721 8.0 949217880 \n", - "940433480 9.0 939526443 \n", - "968717796 5.0 968504496 \n", + "1001535125 3.0 1001381149 \n", + "934476801 2.0 933463604 \n", + "991852001 6.0 991639544 \n", + "917820375 2.0 917498735 \n", + "886585134 7.0 886367984 \n", "\n", " behavior_session_id ophys_container_id \\\n", "ophys_experiment_id \n", - "982343741 981954859 1018028215 \n", - "1086071428 1085947730 1084230234 \n", - "949723721 949348713 1022731540 \n", - "940433480 939538572 1026722876 \n", - "968717796 968604937 1018028018 \n", + "1001535125 1001417592 999191979 \n", + "934476801 933830753 928325203 \n", + "991852001 991662910 1018028052 \n", + "917820375 917595407 1018028182 \n", + "886585134 886440437 1018027558 \n", "\n", - " project_code imaging_depth \\\n", - "ophys_experiment_id \n", - "982343741 VisualBehaviorMultiscope 229 \n", - "1086071428 VisualBehaviorMultiscope 179 \n", - "949723721 VisualBehaviorMultiscope 150 \n", - "940433480 VisualBehaviorMultiscope 300 \n", - "968717796 VisualBehaviorMultiscope4areasx2d 175 \n", + " project_code imaging_depth \\\n", + "ophys_experiment_id \n", + "1001535125 VisualBehaviorTask1B 275 \n", + "934476801 VisualBehaviorTask1B 175 \n", + "991852001 VisualBehaviorMultiscope 259 \n", + "917820375 VisualBehaviorMultiscope 142 \n", + "886585134 VisualBehaviorMultiscope 150 \n", "\n", " targeted_structure date_of_acquisition \\\n", "ophys_experiment_id \n", - "982343741 VISl 2019-11-13 13:35:56.285576 \n", - "1086071428 VISp 2021-02-23 08:06:26.000000 \n", - "949723721 VISl 2019-09-18 10:41:11.695425 \n", - "940433480 VISl 2019-09-05 09:19:35.394918 \n", - "968717796 VISp 2019-10-16 13:39:06.239820 \n", + "1001535125 VISp 2020-01-21 19:08:01.000000 \n", + "934476801 VISp 2019-08-28 17:07:19.000000 \n", + "991852001 VISp 2019-12-02 08:27:10.948347 \n", + "917820375 VISl 2019-08-05 13:38:55.000000 \n", + "886585134 VISl 2019-06-13 12:21:05.000000 \n", "\n", " session_type experience_level passive \\\n", "ophys_experiment_id \n", - "982343741 OPHYS_6_images_B Novel >1 False \n", - "1086071428 OPHYS_2_images_A_passive Familiar True \n", - "949723721 OPHYS_5_images_B_passive Novel >1 True \n", - "940433480 OPHYS_5_images_B_passive Novel >1 True \n", - "968717796 OPHYS_5_images_H_passive Novel >1 True \n", + "1001535125 OPHYS_2_images_B_passive Familiar True \n", + "934476801 OPHYS_3_images_B Familiar False \n", + "991852001 OPHYS_6_images_B Novel >1 False \n", + "917820375 OPHYS_2_images_A_passive Familiar True \n", + "886585134 OPHYS_2_images_A_passive Familiar True \n", "\n", " image_set file_id \n", "ophys_experiment_id \n", - "982343741 B 1085393932 \n", - "1086071428 A 1120143755 \n", - "949723721 B 1085400406 \n", - "940433480 B 1085400188 \n", - "968717796 H 1120140502 " + "1001535125 B 1003077270 \n", + "934476801 B 934570286 \n", + "991852001 B 1085399983 \n", + "917820375 A 1085401025 \n", + "886585134 A 1085673964 " ] }, "execution_count": 9, @@ -982,10 +982,10 @@ "id": "aa293b19", "metadata": { "papermill": { - 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"duration": 2.873583, - "end_time": "2022-12-09T21:25:02.371143", + "duration": 2.168221, + "end_time": "2022-12-13T21:57:04.290716", "exception": false, - "start_time": "2022-12-09T21:24:59.497560", + "start_time": "2022-12-13T21:57:02.122495", "status": "completed" }, "tags": [] @@ -111,76 +111,76 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", + "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", - "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", - "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", + "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", - "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", + "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", + "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", - "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", - "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", - "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", + "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", + "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", + "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -195,10 +195,10 @@ "id": "481c2023", "metadata": { "papermill": { - "duration": 0.014225, - "end_time": "2022-12-09T21:25:02.400354", + "duration": 0.012087, + "end_time": "2022-12-13T21:57:04.315850", "exception": false, - "start_time": "2022-12-09T21:25:02.386129", + "start_time": "2022-12-13T21:57:04.303763", "status": "completed" }, "tags": [] @@ -212,10 +212,10 @@ "id": "8732d954", "metadata": { "papermill": { - "duration": 0.013689, - "end_time": "2022-12-09T21:25:02.428140", + "duration": 0.011981, + "end_time": "2022-12-13T21:57:04.339809", "exception": false, - "start_time": "2022-12-09T21:25:02.414451", + "start_time": "2022-12-13T21:57:04.327828", "status": "completed" }, "tags": [] @@ -233,16 +233,16 @@ "id": "414fb6d0", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:02.458760Z", - "iopub.status.busy": "2022-12-09T21:25:02.457953Z", - "iopub.status.idle": "2022-12-09T21:25:07.951687Z", - "shell.execute_reply": "2022-12-09T21:25:07.950110Z" + "iopub.execute_input": "2022-12-13T21:57:04.365844Z", + "iopub.status.busy": "2022-12-13T21:57:04.365225Z", + "iopub.status.idle": "2022-12-13T21:57:08.431682Z", + "shell.execute_reply": "2022-12-13T21:57:08.430586Z" }, "papermill": { - "duration": 5.512688, - "end_time": "2022-12-09T21:25:07.955092", + "duration": 4.082817, + "end_time": "2022-12-13T21:57:08.434592", "exception": false, - "start_time": "2022-12-09T21:25:02.442404", + "start_time": "2022-12-13T21:57:04.351775", "status": "completed" }, "tags": [] @@ -254,76 +254,76 @@ "text": [ "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", - "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", + "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", - "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", - "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", + "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", + "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", - 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"Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", + "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", + "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", - "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -339,10 +339,10 @@ "id": "56d4cc10", "metadata": { "papermill": { - "duration": 0.016098, - "end_time": "2022-12-09T21:25:07.986828", + "duration": 0.01278, + "end_time": "2022-12-13T21:57:08.461275", "exception": false, - "start_time": "2022-12-09T21:25:07.970730", + "start_time": "2022-12-13T21:57:08.448495", "status": "completed" }, "tags": [] @@ -356,10 +356,10 @@ "id": "ba93566e", "metadata": { "papermill": { - "duration": 0.017135, - "end_time": "2022-12-09T21:25:08.019812", + "duration": 0.012533, + "end_time": "2022-12-13T21:57:08.486371", "exception": false, - "start_time": "2022-12-09T21:25:08.002677", + "start_time": "2022-12-13T21:57:08.473838", "status": "completed" }, "tags": [] @@ -374,16 +374,16 @@ "id": "d30d8304", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:08.054999Z", - "iopub.status.busy": "2022-12-09T21:25:08.054042Z", - "iopub.status.idle": "2022-12-09T21:25:09.206350Z", - "shell.execute_reply": "2022-12-09T21:25:09.205118Z" + "iopub.execute_input": "2022-12-13T21:57:08.513463Z", + "iopub.status.busy": "2022-12-13T21:57:08.513108Z", + "iopub.status.idle": "2022-12-13T21:57:09.319224Z", + "shell.execute_reply": "2022-12-13T21:57:09.318475Z" }, "papermill": { - "duration": 1.172767, - "end_time": "2022-12-09T21:25:09.209146", + "duration": 0.822315, + "end_time": "2022-12-13T21:57:09.321289", "exception": false, - "start_time": "2022-12-09T21:25:08.036379", + "start_time": "2022-12-13T21:57:08.498974", "status": "completed" }, "tags": [] @@ -403,16 +403,16 @@ "id": "1cb3d49a", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:09.255079Z", - "iopub.status.busy": "2022-12-09T21:25:09.248219Z", - "iopub.status.idle": "2022-12-09T21:25:09.291237Z", - "shell.execute_reply": "2022-12-09T21:25:09.289945Z" + "iopub.execute_input": "2022-12-13T21:57:09.349798Z", + "iopub.status.busy": "2022-12-13T21:57:09.349350Z", + "iopub.status.idle": "2022-12-13T21:57:09.372102Z", + "shell.execute_reply": "2022-12-13T21:57:09.371453Z" }, "papermill": { - "duration": 0.067638, - "end_time": "2022-12-09T21:25:09.294069", + "duration": 0.039254, + "end_time": "2022-12-13T21:57:09.373868", "exception": false, - "start_time": "2022-12-09T21:25:09.226431", + "start_time": "2022-12-13T21:57:09.334614", "status": "completed" }, "tags": [] @@ -431,16 +431,16 @@ "id": "97faa4e8", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:09.334904Z", - "iopub.status.busy": "2022-12-09T21:25:09.333552Z", - "iopub.status.idle": "2022-12-09T21:25:09.360222Z", - "shell.execute_reply": "2022-12-09T21:25:09.359199Z" + "iopub.execute_input": "2022-12-13T21:57:09.401616Z", + "iopub.status.busy": "2022-12-13T21:57:09.400981Z", + "iopub.status.idle": "2022-12-13T21:57:09.420098Z", + "shell.execute_reply": "2022-12-13T21:57:09.419392Z" }, "papermill": { - "duration": 0.049964, - "end_time": "2022-12-09T21:25:09.362995", + "duration": 0.03438, + "end_time": "2022-12-13T21:57:09.421801", "exception": false, - "start_time": "2022-12-09T21:25:09.313031", + "start_time": "2022-12-13T21:57:09.387421", "status": "completed" }, "tags": [] @@ -469,16 +469,16 @@ "id": "405a1273", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:09.404792Z", - "iopub.status.busy": "2022-12-09T21:25:09.402860Z", - "iopub.status.idle": "2022-12-09T21:25:15.493574Z", - "shell.execute_reply": "2022-12-09T21:25:15.492512Z" + "iopub.execute_input": "2022-12-13T21:57:09.449739Z", + "iopub.status.busy": "2022-12-13T21:57:09.448927Z", + "iopub.status.idle": "2022-12-13T21:57:13.999888Z", + "shell.execute_reply": "2022-12-13T21:57:13.999115Z" }, "papermill": { - "duration": 6.113241, - "end_time": "2022-12-09T21:25:15.496271", + "duration": 4.567788, + "end_time": "2022-12-13T21:57:14.002707", "exception": false, - "start_time": "2022-12-09T21:25:09.383030", + "start_time": "2022-12-13T21:57:09.434919", "status": "completed" }, "tags": [] @@ -503,10 +503,10 @@ "id": "7cc23267", "metadata": { "papermill": { - "duration": 0.015858, - "end_time": "2022-12-09T21:25:15.528996", + "duration": 0.013128, + "end_time": "2022-12-13T21:57:14.029810", "exception": false, - "start_time": "2022-12-09T21:25:15.513138", + "start_time": "2022-12-13T21:57:14.016682", "status": "completed" }, "tags": [] @@ -520,10 +520,10 @@ "id": "78ca57d2", "metadata": { "papermill": { - "duration": 0.01474, - "end_time": "2022-12-09T21:25:15.559405", + "duration": 0.013095, + "end_time": "2022-12-13T21:57:14.055848", "exception": false, - "start_time": "2022-12-09T21:25:15.544665", + "start_time": "2022-12-13T21:57:14.042753", "status": "completed" }, "tags": [] @@ -538,16 +538,16 @@ "id": "03ece77c", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:15.595191Z", - "iopub.status.busy": "2022-12-09T21:25:15.594000Z", - "iopub.status.idle": "2022-12-09T21:25:15.623446Z", - "shell.execute_reply": "2022-12-09T21:25:15.622632Z" + "iopub.execute_input": "2022-12-13T21:57:14.083894Z", + "iopub.status.busy": "2022-12-13T21:57:14.082832Z", + "iopub.status.idle": "2022-12-13T21:57:14.108360Z", + "shell.execute_reply": "2022-12-13T21:57:14.107653Z" }, "papermill": { - "duration": 0.050237, - "end_time": "2022-12-09T21:25:15.625470", + "duration": 0.041384, + "end_time": "2022-12-13T21:57:14.110082", "exception": false, - "start_time": "2022-12-09T21:25:15.575233", + "start_time": "2022-12-13T21:57:14.068698", "status": "completed" }, "tags": [ @@ -565,16 +565,16 @@ "id": "2bf58cc5", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:15.728802Z", - "iopub.status.busy": "2022-12-09T21:25:15.728222Z", - "iopub.status.idle": "2022-12-09T21:25:17.571015Z", - "shell.execute_reply": "2022-12-09T21:25:17.569920Z" + "iopub.execute_input": "2022-12-13T21:57:14.189715Z", + "iopub.status.busy": "2022-12-13T21:57:14.189090Z", + "iopub.status.idle": "2022-12-13T21:57:17.164707Z", + "shell.execute_reply": "2022-12-13T21:57:17.163802Z" }, "papermill": { - "duration": 1.86216, - "end_time": "2022-12-09T21:25:17.573167", + "duration": 2.991257, + "end_time": "2022-12-13T21:57:17.166536", "exception": false, - "start_time": "2022-12-09T21:25:15.711007", + "start_time": "2022-12-13T21:57:14.175279", "status": "completed" }, "scrolled": false, @@ -593,14 +593,14 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpxap_ubyq/_downloaded_data.json\n", + "/tmp/tmpiixc5wx0/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.81MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 11.7MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 6.38MMB/s]\n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 23.4MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.38MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 6.88MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.97MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 12.0MMB/s]\n" ] }, { @@ -641,10 +641,10 @@ "id": "aa6aace5", "metadata": { "papermill": { - "duration": 0.016592, - "end_time": "2022-12-09T21:25:17.607719", + "duration": 0.014008, + "end_time": "2022-12-13T21:57:17.195206", "exception": false, - "start_time": "2022-12-09T21:25:17.591127", + "start_time": "2022-12-13T21:57:17.181198", "status": "completed" }, "tags": [] @@ -660,10 +660,10 @@ "id": "9fcac26c", "metadata": { "papermill": { - "duration": 0.017037, - "end_time": "2022-12-09T21:25:17.641566", + "duration": 0.013829, + "end_time": "2022-12-13T21:57:17.223077", "exception": false, - "start_time": "2022-12-09T21:25:17.624529", + "start_time": "2022-12-13T21:57:17.209248", "status": "completed" }, "tags": [] @@ -678,16 +678,16 @@ "id": "df00e2db", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:17.675993Z", - "iopub.status.busy": "2022-12-09T21:25:17.675253Z", - "iopub.status.idle": "2022-12-09T21:25:17.736718Z", - "shell.execute_reply": "2022-12-09T21:25:17.735705Z" + "iopub.execute_input": "2022-12-13T21:57:17.252805Z", + "iopub.status.busy": "2022-12-13T21:57:17.252013Z", + "iopub.status.idle": "2022-12-13T21:57:17.297217Z", + "shell.execute_reply": "2022-12-13T21:57:17.296417Z" }, "papermill": { - "duration": 0.082056, - "end_time": "2022-12-09T21:25:17.739551", + "duration": 0.062516, + "end_time": "2022-12-13T21:57:17.299405", "exception": false, - "start_time": "2022-12-09T21:25:17.657495", + "start_time": "2022-12-13T21:57:17.236889", "status": "completed" }, "scrolled": false, @@ -764,124 +764,124 @@ " \n", " \n", " \n", - " 1051217227\n", - " CAM2P.3\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 533527\n", + " 942596353\n", + " MESO.1\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 453991\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", - " [Sst-IRES-Cre]\n", + " [Vip-IRES-Cre]\n", " M\n", - " 123.0\n", - " Sst-IRES-Cre\n", + " 213.0\n", + " Vip-IRES-Cre\n", " GCaMP6f\n", - " 3.0\n", + " 1.0\n", " ...\n", - " 1049224697\n", - " VisualBehavior\n", - " 275\n", + " 1022731527\n", + " VisualBehaviorMultiscope\n", + " 150\n", " VISp\n", - " 2020-09-17 16:35:38.000000\n", - " OPHYS_3_images_A\n", + " 2019-09-09 12:29:05.000000\n", + " OPHYS_1_images_A\n", " Familiar\n", " False\n", " A\n", - " 1051263952\n", + " 1085398377\n", " \n", " \n", - " 891108763\n", + " 930996080\n", " MESO.1\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 435431\n", + " 453988\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", " M\n", - " 215.0\n", + " 196.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", - " 5.0\n", + " 1.0\n", " ...\n", - " 1018028374\n", + " 1026722876\n", " VisualBehaviorMultiscope\n", " 274\n", - " VISp\n", - " 2019-06-19 09:25:00.659441\n", - " OPHYS_5_images_B_passive\n", - " Novel >1\n", - " True\n", - " B\n", - " 1085673876\n", + " VISl\n", + " 2019-08-23 08:11:32.653400\n", + " OPHYS_1_images_A\n", + " Familiar\n", + " False\n", + " A\n", + " 1085398613\n", " \n", " \n", - " 1087825608\n", + " 977978331\n", " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 547486\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 482853\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " [Sst-IRES-Cre]\n", " M\n", - " 205.0\n", - " Slc17a7-IRES2-Cre\n", + " 129.0\n", + " Sst-IRES-Cre\n", " GCaMP6f\n", - " 4.0\n", + " 3.0\n", " ...\n", - " 1084230251\n", + " 1018028215\n", " VisualBehaviorMultiscope\n", - " 275\n", + " 225\n", " VISl\n", - " 2021-03-03 08:28:42.160305\n", - " OPHYS_4_images_B\n", - " Novel >1\n", + " 2019-11-06 13:51:22.067175\n", + " OPHYS_3_images_A\n", + " Familiar\n", " False\n", - " B\n", - " 1120143652\n", + " A\n", + " 1085399905\n", " \n", " \n", - " 1106021626\n", + " 888879671\n", " MESO.1\n", - " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 563234\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", - " [Vip-IRES-Cre]\n", - " F\n", - " 177.0\n", - " Vip-IRES-Cre\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 451787\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 138.0\n", + " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 3.0\n", + " 5.0\n", " ...\n", - " 1103781361\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 171\n", - " VISam\n", - " 2021-05-27 07:54:56.669618\n", - " OPHYS_3_images_G\n", - " Familiar\n", - " False\n", - " G\n", - " 1120152842\n", + " 1018027552\n", + " VisualBehaviorMultiscope\n", + " 300\n", + " VISp\n", + " 2019-06-17 12:15:56.000000\n", + " OPHYS_5_images_B_passive\n", + " Novel >1\n", + " True\n", + " B\n", + " 1086012935\n", " \n", " \n", - " 993369859\n", - " MESO.1\n", + " 1076328601\n", + " CAM2P.3\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 485152\n", + " 548950\n", " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 151.0\n", + " 147.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 3.0\n", + " 2.0\n", " ...\n", - " 1018027775\n", - " VisualBehaviorMultiscope\n", - " 165\n", + " 1074862765\n", + " VisualBehaviorTask1B\n", + " 175\n", " VISp\n", - " 2019-12-09 11:10:20.458602\n", - " OPHYS_3_images_A\n", + " 2021-01-13 19:25:20.000000\n", + " OPHYS_2_images_B_passive\n", " Familiar\n", - " False\n", - " A\n", - " 1085399820\n", + " True\n", + " B\n", + " 1076364526\n", " \n", " \n", "\n", @@ -891,75 +891,75 @@ "text/plain": [ " equipment_name \\\n", "ophys_experiment_id \n", - "1051217227 CAM2P.3 \n", - "891108763 MESO.1 \n", - "1087825608 MESO.1 \n", - "1106021626 MESO.1 \n", - "993369859 MESO.1 \n", + "942596353 MESO.1 \n", + "930996080 MESO.1 \n", + "977978331 MESO.1 \n", + "888879671 MESO.1 \n", + "1076328601 CAM2P.3 \n", "\n", " full_genotype \\\n", "ophys_experiment_id \n", - "1051217227 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "891108763 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "1087825608 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "1106021626 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "993369859 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "942596353 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "930996080 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "977978331 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "888879671 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "1076328601 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", "\n", " mouse_id reporter_line \\\n", "ophys_experiment_id \n", - "1051217227 533527 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "891108763 435431 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "1087825608 547486 Ai93(TITL-GCaMP6f) \n", - "1106021626 563234 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "993369859 485152 Ai93(TITL-GCaMP6f) \n", + "942596353 453991 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "930996080 453988 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "977978331 482853 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "888879671 451787 Ai93(TITL-GCaMP6f) \n", + "1076328601 548950 Ai93(TITL-GCaMP6f) \n", "\n", " driver_line sex age_in_days \\\n", "ophys_experiment_id \n", - "1051217227 [Sst-IRES-Cre] M 123.0 \n", - "891108763 [Vip-IRES-Cre] M 215.0 \n", - "1087825608 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 205.0 \n", - "1106021626 [Vip-IRES-Cre] F 177.0 \n", - "993369859 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 151.0 \n", + "942596353 [Vip-IRES-Cre] M 213.0 \n", + "930996080 [Vip-IRES-Cre] M 196.0 \n", + "977978331 [Sst-IRES-Cre] M 129.0 \n", + "888879671 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 138.0 \n", + "1076328601 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 147.0 \n", "\n", " cre_line indicator session_number ... \\\n", "ophys_experiment_id ... \n", - "1051217227 Sst-IRES-Cre GCaMP6f 3.0 ... \n", - "891108763 Vip-IRES-Cre GCaMP6f 5.0 ... \n", - "1087825608 Slc17a7-IRES2-Cre GCaMP6f 4.0 ... \n", - "1106021626 Vip-IRES-Cre GCaMP6f 3.0 ... \n", - "993369859 Slc17a7-IRES2-Cre GCaMP6f 3.0 ... \n", + "942596353 Vip-IRES-Cre GCaMP6f 1.0 ... \n", + "930996080 Vip-IRES-Cre GCaMP6f 1.0 ... \n", + "977978331 Sst-IRES-Cre GCaMP6f 3.0 ... \n", + "888879671 Slc17a7-IRES2-Cre GCaMP6f 5.0 ... \n", + "1076328601 Slc17a7-IRES2-Cre GCaMP6f 2.0 ... \n", "\n", - " ophys_container_id project_code \\\n", - "ophys_experiment_id \n", - "1051217227 1049224697 VisualBehavior \n", - "891108763 1018028374 VisualBehaviorMultiscope \n", - "1087825608 1084230251 VisualBehaviorMultiscope \n", - "1106021626 1103781361 VisualBehaviorMultiscope4areasx2d \n", - "993369859 1018027775 VisualBehaviorMultiscope \n", + " ophys_container_id project_code \\\n", + "ophys_experiment_id \n", + "942596353 1022731527 VisualBehaviorMultiscope \n", + "930996080 1026722876 VisualBehaviorMultiscope \n", + "977978331 1018028215 VisualBehaviorMultiscope \n", + "888879671 1018027552 VisualBehaviorMultiscope \n", + "1076328601 1074862765 VisualBehaviorTask1B \n", "\n", " imaging_depth targeted_structure \\\n", "ophys_experiment_id \n", - "1051217227 275 VISp \n", - "891108763 274 VISp \n", - "1087825608 275 VISl \n", - "1106021626 171 VISam \n", - "993369859 165 VISp \n", + "942596353 150 VISp \n", + "930996080 274 VISl \n", + "977978331 225 VISl \n", + "888879671 300 VISp \n", + "1076328601 175 VISp \n", "\n", " date_of_acquisition session_type \\\n", "ophys_experiment_id \n", - "1051217227 2020-09-17 16:35:38.000000 OPHYS_3_images_A \n", - "891108763 2019-06-19 09:25:00.659441 OPHYS_5_images_B_passive \n", - "1087825608 2021-03-03 08:28:42.160305 OPHYS_4_images_B \n", - "1106021626 2021-05-27 07:54:56.669618 OPHYS_3_images_G \n", - "993369859 2019-12-09 11:10:20.458602 OPHYS_3_images_A \n", + "942596353 2019-09-09 12:29:05.000000 OPHYS_1_images_A \n", + "930996080 2019-08-23 08:11:32.653400 OPHYS_1_images_A \n", + "977978331 2019-11-06 13:51:22.067175 OPHYS_3_images_A \n", + "888879671 2019-06-17 12:15:56.000000 OPHYS_5_images_B_passive \n", + "1076328601 2021-01-13 19:25:20.000000 OPHYS_2_images_B_passive \n", "\n", " experience_level passive image_set file_id \n", "ophys_experiment_id \n", - "1051217227 Familiar False A 1051263952 \n", - "891108763 Novel >1 True B 1085673876 \n", - "1087825608 Novel >1 False B 1120143652 \n", - "1106021626 Familiar False G 1120152842 \n", - "993369859 Familiar False A 1085399820 \n", + "942596353 Familiar False A 1085398377 \n", + "930996080 Familiar False A 1085398613 \n", + "977978331 Familiar False A 1085399905 \n", + "888879671 Novel >1 True B 1086012935 \n", + "1076328601 Familiar True B 1076364526 \n", "\n", "[5 rows x 25 columns]" ] @@ -979,10 +979,10 @@ "id": "b44e1dd3", "metadata": { "papermill": { - "duration": 0.018203, - "end_time": "2022-12-09T21:25:17.776866", + "duration": 0.01425, + "end_time": "2022-12-13T21:57:17.328899", "exception": false, - "start_time": "2022-12-09T21:25:17.758663", + "start_time": "2022-12-13T21:57:17.314649", "status": "completed" }, "tags": [] @@ -997,16 +997,16 @@ "id": "503a2b36", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:17.815598Z", - "iopub.status.busy": "2022-12-09T21:25:17.814684Z", - "iopub.status.idle": "2022-12-09T21:25:17.851822Z", - "shell.execute_reply": "2022-12-09T21:25:17.850851Z" + "iopub.execute_input": "2022-12-13T21:57:17.359053Z", + "iopub.status.busy": "2022-12-13T21:57:17.358575Z", + "iopub.status.idle": "2022-12-13T21:57:17.385193Z", + "shell.execute_reply": "2022-12-13T21:57:17.384495Z" }, "papermill": { - "duration": 0.059998, - "end_time": "2022-12-09T21:25:17.854292", + "duration": 0.043751, + "end_time": "2022-12-13T21:57:17.386779", "exception": false, - "start_time": "2022-12-09T21:25:17.794294", + "start_time": "2022-12-13T21:57:17.343028", "status": "completed" }, "tags": [] @@ -1033,10 +1033,10 @@ "id": "42983282", "metadata": { "papermill": { - "duration": 0.018077, - "end_time": "2022-12-09T21:25:17.890855", + "duration": 0.01429, + "end_time": "2022-12-13T21:57:17.415354", "exception": false, - "start_time": "2022-12-09T21:25:17.872778", + "start_time": "2022-12-13T21:57:17.401064", "status": "completed" }, "tags": [] @@ -1051,16 +1051,16 @@ "id": "87c01bc6", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:17.927781Z", - "iopub.status.busy": "2022-12-09T21:25:17.927032Z", - "iopub.status.idle": "2022-12-09T21:25:17.959066Z", - "shell.execute_reply": "2022-12-09T21:25:17.958031Z" + "iopub.execute_input": "2022-12-13T21:57:17.445645Z", + "iopub.status.busy": "2022-12-13T21:57:17.445081Z", + "iopub.status.idle": "2022-12-13T21:57:17.469378Z", + "shell.execute_reply": "2022-12-13T21:57:17.468628Z" }, "papermill": { - "duration": 0.053064, - "end_time": "2022-12-09T21:25:17.961215", + "duration": 0.041413, + "end_time": "2022-12-13T21:57:17.471105", "exception": false, - "start_time": "2022-12-09T21:25:17.908151", + "start_time": "2022-12-13T21:57:17.429692", "status": "completed" }, "tags": [] @@ -1083,10 +1083,10 @@ "id": "834ca007", "metadata": { "papermill": { - "duration": 0.018743, - "end_time": "2022-12-09T21:25:17.999054", + "duration": 0.014268, + "end_time": "2022-12-13T21:57:17.500341", "exception": false, - "start_time": "2022-12-09T21:25:17.980311", + "start_time": "2022-12-13T21:57:17.486073", "status": "completed" }, "tags": [] @@ -1100,10 +1100,10 @@ "id": "644cfe8b", "metadata": { "papermill": { - "duration": 0.019026, - "end_time": "2022-12-09T21:25:18.037720", + "duration": 0.014311, + "end_time": "2022-12-13T21:57:17.529019", "exception": false, - "start_time": "2022-12-09T21:25:18.018694", + "start_time": "2022-12-13T21:57:17.514708", "status": "completed" }, "tags": [] @@ -1118,16 +1118,16 @@ "id": "0a3483d1", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:18.077932Z", - "iopub.status.busy": "2022-12-09T21:25:18.077100Z", - "iopub.status.idle": "2022-12-09T21:25:32.100153Z", - "shell.execute_reply": "2022-12-09T21:25:32.098664Z" + "iopub.execute_input": "2022-12-13T21:57:17.560035Z", + "iopub.status.busy": "2022-12-13T21:57:17.559368Z", + "iopub.status.idle": "2022-12-13T21:57:31.283475Z", + "shell.execute_reply": "2022-12-13T21:57:31.282700Z" }, "papermill": { - "duration": 14.046743, - "end_time": "2022-12-09T21:25:32.103328", + "duration": 13.74249, + "end_time": "2022-12-13T21:57:31.286023", "exception": false, - "start_time": "2022-12-09T21:25:18.056585", + "start_time": "2022-12-13T21:57:17.543533", "status": "completed" }, "tags": [] @@ -1137,7 +1137,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_957759570.nwb: 100%|██████████| 277M/277M [00:08<00:00, 33.1MMB/s]\n", + "behavior_ophys_experiment_957759570.nwb: 100%|██████████| 277M/277M [00:09<00:00, 29.1MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", @@ -1157,10 +1157,10 @@ "id": "ce17e0cc", "metadata": { "papermill": { - "duration": 0.021612, - "end_time": "2022-12-09T21:25:32.147825", + "duration": 0.018579, + "end_time": "2022-12-13T21:57:31.323995", "exception": false, - "start_time": "2022-12-09T21:25:32.126213", + "start_time": "2022-12-13T21:57:31.305416", "status": "completed" }, "tags": [] @@ -1175,16 +1175,16 @@ "id": "389f06e1", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:32.193266Z", - "iopub.status.busy": "2022-12-09T21:25:32.191968Z", - "iopub.status.idle": "2022-12-09T21:25:32.229263Z", - "shell.execute_reply": "2022-12-09T21:25:32.227917Z" + "iopub.execute_input": "2022-12-13T21:57:31.362609Z", + "iopub.status.busy": "2022-12-13T21:57:31.361907Z", + "iopub.status.idle": "2022-12-13T21:57:31.389033Z", + "shell.execute_reply": "2022-12-13T21:57:31.388429Z" }, "papermill": { - "duration": 0.06252, - "end_time": "2022-12-09T21:25:32.231720", + "duration": 0.048387, + "end_time": "2022-12-13T21:57:31.390685", "exception": false, - "start_time": "2022-12-09T21:25:32.169200", + "start_time": "2022-12-13T21:57:31.342298", "status": "completed" }, "tags": [] @@ -1237,10 +1237,10 @@ "id": "ddd1b275", "metadata": { "papermill": { - "duration": 0.021757, - "end_time": "2022-12-09T21:25:32.276891", + "duration": 0.018224, + "end_time": "2022-12-13T21:57:31.427398", "exception": false, - "start_time": "2022-12-09T21:25:32.255134", + "start_time": "2022-12-13T21:57:31.409174", "status": "completed" }, "tags": [] @@ -1254,10 +1254,10 @@ "id": "cb3b8565", "metadata": { "papermill": { - "duration": 0.021099, - "end_time": "2022-12-09T21:25:32.319969", + "duration": 0.018272, + "end_time": "2022-12-13T21:57:31.464006", "exception": false, - "start_time": "2022-12-09T21:25:32.298870", + "start_time": "2022-12-13T21:57:31.445734", "status": "completed" }, "tags": [] @@ -1272,16 +1272,16 @@ "id": "e7f56aae", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:32.366096Z", - "iopub.status.busy": "2022-12-09T21:25:32.365643Z", - "iopub.status.idle": "2022-12-09T21:25:32.630146Z", - "shell.execute_reply": "2022-12-09T21:25:32.628843Z" + "iopub.execute_input": "2022-12-13T21:57:31.502438Z", + "iopub.status.busy": "2022-12-13T21:57:31.501830Z", + "iopub.status.idle": "2022-12-13T21:57:31.688859Z", + "shell.execute_reply": "2022-12-13T21:57:31.688214Z" }, "papermill": { - "duration": 0.291577, - "end_time": "2022-12-09T21:25:32.633601", + "duration": 0.209468, + "end_time": "2022-12-13T21:57:31.691807", "exception": false, - "start_time": "2022-12-09T21:25:32.342024", + "start_time": "2022-12-13T21:57:31.482339", "status": "completed" }, "scrolled": true, @@ -1291,7 +1291,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -1318,10 +1318,10 @@ "id": "f4ca3a39", "metadata": { "papermill": { - "duration": 0.026911, - "end_time": "2022-12-09T21:25:32.687366", + "duration": 0.020197, + "end_time": "2022-12-13T21:57:31.733076", "exception": false, - "start_time": "2022-12-09T21:25:32.660455", + "start_time": "2022-12-13T21:57:31.712879", "status": "completed" }, "tags": [] @@ -1335,10 +1335,10 @@ "id": "c698febb", "metadata": { "papermill": { - "duration": 0.024492, - "end_time": "2022-12-09T21:25:32.738272", + "duration": 0.020084, + "end_time": "2022-12-13T21:57:31.773197", "exception": false, - "start_time": "2022-12-09T21:25:32.713780", + "start_time": "2022-12-13T21:57:31.753113", "status": "completed" }, "tags": [] @@ -1353,16 +1353,16 @@ "id": "edac839d", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:32.797003Z", - "iopub.status.busy": "2022-12-09T21:25:32.795935Z", - "iopub.status.idle": "2022-12-09T21:25:33.192908Z", - "shell.execute_reply": "2022-12-09T21:25:33.191762Z" + "iopub.execute_input": "2022-12-13T21:57:31.815304Z", + "iopub.status.busy": "2022-12-13T21:57:31.814551Z", + "iopub.status.idle": "2022-12-13T21:57:32.096902Z", + "shell.execute_reply": "2022-12-13T21:57:32.096045Z" }, "papermill": { - "duration": 0.432791, - "end_time": "2022-12-09T21:25:33.194951", + "duration": 0.306009, + "end_time": "2022-12-13T21:57:32.099227", "exception": false, - "start_time": "2022-12-09T21:25:32.762160", + "start_time": "2022-12-13T21:57:31.793218", "status": "completed" }, "scrolled": false, @@ -1421,24 +1421,24 @@ " \n", " \n", " \n", - " 1086608379\n", - " 1080722843\n", - " 14\n", + " 1086607814\n", + " 1080722743\n", + " 13\n", " 0\n", " 6.0\n", " 10.0\n", " 7.0\n", " 17.0\n", " True\n", - " 22\n", - " 38\n", - " 239\n", + " 27\n", + " 159\n", + " 473\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", - " 1086606974\n", - " 1080722810\n", - " 18\n", + " 1086608811\n", + " 1080722839\n", + " 31\n", " 0\n", " 6.0\n", " 10.0\n", @@ -1446,23 +1446,23 @@ " 17.0\n", " True\n", " 19\n", - " 230\n", - " 399\n", + " 69\n", + " 124\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", - " 1086608432\n", - " 1080722725\n", - " 13\n", - " 0\n", + " 1086607562\n", + " 1080722713\n", + " 27\n", + " 1\n", " 6.0\n", " 10.0\n", " 7.0\n", " 17.0\n", " True\n", - " 19\n", - " 468\n", - " 237\n", + " 22\n", + " 87\n", + " 120\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", @@ -1472,27 +1472,27 @@ "text/plain": [ " cell_roi_id height mask_image_plane max_correction_down \\\n", "cell_specimen_id \n", - "1086608379 1080722843 14 0 6.0 \n", - "1086606974 1080722810 18 0 6.0 \n", - "1086608432 1080722725 13 0 6.0 \n", + "1086607814 1080722743 13 0 6.0 \n", + "1086608811 1080722839 31 0 6.0 \n", + "1086607562 1080722713 27 1 6.0 \n", "\n", " max_correction_left max_correction_right \\\n", "cell_specimen_id \n", - "1086608379 10.0 7.0 \n", - "1086606974 10.0 7.0 \n", - "1086608432 10.0 7.0 \n", + "1086607814 10.0 7.0 \n", + "1086608811 10.0 7.0 \n", + "1086607562 10.0 7.0 \n", "\n", " max_correction_up valid_roi width x y \\\n", "cell_specimen_id \n", - "1086608379 17.0 True 22 38 239 \n", - "1086606974 17.0 True 19 230 399 \n", - "1086608432 17.0 True 19 468 237 \n", + "1086607814 17.0 True 27 159 473 \n", + "1086608811 17.0 True 19 69 124 \n", + "1086607562 17.0 True 22 87 120 \n", "\n", " roi_mask \n", "cell_specimen_id \n", - "1086608379 [[False, False, False, False, False, False, Fa... \n", - "1086606974 [[False, False, False, False, False, False, Fa... \n", - "1086608432 [[False, False, False, False, False, False, Fa... " + "1086607814 [[False, False, False, False, False, False, Fa... \n", + "1086608811 [[False, False, False, False, False, False, Fa... \n", + "1086607562 [[False, False, False, False, False, False, Fa... " ] }, "execution_count": 16, @@ -1509,10 +1509,10 @@ "id": "70171598", "metadata": { "papermill": { - "duration": 0.024746, - "end_time": "2022-12-09T21:25:33.244548", + "duration": 0.02083, + "end_time": "2022-12-13T21:57:32.141319", "exception": false, - "start_time": "2022-12-09T21:25:33.219802", + "start_time": "2022-12-13T21:57:32.120489", "status": "completed" }, "tags": [] @@ -1533,16 +1533,16 @@ "id": "39d0c032", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:33.342739Z", - "iopub.status.busy": "2022-12-09T21:25:33.341818Z", - "iopub.status.idle": "2022-12-09T21:25:33.542508Z", - "shell.execute_reply": "2022-12-09T21:25:33.541242Z" + "iopub.execute_input": "2022-12-13T21:57:32.183722Z", + "iopub.status.busy": "2022-12-13T21:57:32.183093Z", + "iopub.status.idle": "2022-12-13T21:57:32.323156Z", + "shell.execute_reply": "2022-12-13T21:57:32.322358Z" }, "papermill": { - "duration": 0.276933, - "end_time": "2022-12-09T21:25:33.545470", + "duration": 0.163702, + "end_time": "2022-12-13T21:57:32.325369", "exception": false, - "start_time": "2022-12-09T21:25:33.268537", + "start_time": "2022-12-13T21:57:32.161667", "status": "completed" }, "tags": [] @@ -1551,7 +1551,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -1578,10 +1578,10 @@ "id": "fa6ccf26", "metadata": { "papermill": { - "duration": 0.025091, - "end_time": "2022-12-09T21:25:33.601748", + "duration": 0.021193, + "end_time": "2022-12-13T21:57:32.367880", "exception": false, - "start_time": "2022-12-09T21:25:33.576657", + "start_time": "2022-12-13T21:57:32.346687", "status": "completed" }, "tags": [] @@ -1596,16 +1596,16 @@ "id": "c7ff142e", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:33.653241Z", - "iopub.status.busy": "2022-12-09T21:25:33.652340Z", - "iopub.status.idle": "2022-12-09T21:25:33.703290Z", - "shell.execute_reply": "2022-12-09T21:25:33.702344Z" + "iopub.execute_input": "2022-12-13T21:57:32.410951Z", + "iopub.status.busy": "2022-12-13T21:57:32.410334Z", + "iopub.status.idle": "2022-12-13T21:57:32.450762Z", + "shell.execute_reply": "2022-12-13T21:57:32.449988Z" }, "papermill": { - "duration": 0.079193, - "end_time": "2022-12-09T21:25:33.705893", + "duration": 0.064159, + "end_time": "2022-12-13T21:57:32.452733", "exception": false, - "start_time": "2022-12-09T21:25:33.626700", + "start_time": "2022-12-13T21:57:32.388574", "status": "completed" }, "tags": [] @@ -1738,10 +1738,10 @@ "id": "bfd89dea", "metadata": { "papermill": { - "duration": 0.025816, - "end_time": "2022-12-09T21:25:33.761176", + "duration": 0.020795, + "end_time": "2022-12-13T21:57:32.495164", "exception": false, - "start_time": "2022-12-09T21:25:33.735360", + "start_time": "2022-12-13T21:57:32.474369", "status": "completed" }, "tags": [] @@ -1758,16 +1758,16 @@ "id": "a7209321", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:33.814942Z", - "iopub.status.busy": "2022-12-09T21:25:33.813663Z", - "iopub.status.idle": "2022-12-09T21:25:33.850914Z", - "shell.execute_reply": "2022-12-09T21:25:33.849643Z" + "iopub.execute_input": "2022-12-13T21:57:32.538548Z", + "iopub.status.busy": "2022-12-13T21:57:32.537824Z", + "iopub.status.idle": "2022-12-13T21:57:32.567441Z", + "shell.execute_reply": "2022-12-13T21:57:32.566668Z" }, "papermill": { - "duration": 0.067731, - "end_time": "2022-12-09T21:25:33.853893", + "duration": 0.053154, + "end_time": "2022-12-13T21:57:32.569067", "exception": false, - "start_time": "2022-12-09T21:25:33.786162", + "start_time": "2022-12-13T21:57:32.515913", "status": "completed" }, "scrolled": true, @@ -1796,10 +1796,10 @@ "id": "c6eb62fe", "metadata": { "papermill": { - "duration": 0.02474, - "end_time": "2022-12-09T21:25:33.906041", + "duration": 0.020913, + "end_time": "2022-12-13T21:57:32.611375", "exception": false, - "start_time": "2022-12-09T21:25:33.881301", + "start_time": "2022-12-13T21:57:32.590462", "status": "completed" }, "tags": [] @@ -1814,16 +1814,16 @@ "id": "f5206b1e", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:33.958590Z", - "iopub.status.busy": "2022-12-09T21:25:33.957758Z", - "iopub.status.idle": "2022-12-09T21:25:34.001214Z", - "shell.execute_reply": "2022-12-09T21:25:34.000266Z" + "iopub.execute_input": "2022-12-13T21:57:32.655197Z", + "iopub.status.busy": "2022-12-13T21:57:32.654584Z", + "iopub.status.idle": "2022-12-13T21:57:32.683442Z", + "shell.execute_reply": "2022-12-13T21:57:32.682685Z" }, "papermill": { - "duration": 0.071935, - "end_time": "2022-12-09T21:25:34.003449", + "duration": 0.052923, + "end_time": "2022-12-13T21:57:32.685144", "exception": false, - "start_time": "2022-12-09T21:25:33.931514", + "start_time": "2022-12-13T21:57:32.632221", "status": "completed" }, "tags": [] @@ -1851,10 +1851,10 @@ "id": "7088aec1", "metadata": { "papermill": { - "duration": 0.029099, - "end_time": "2022-12-09T21:25:34.060037", + "duration": 0.021001, + "end_time": "2022-12-13T21:57:32.727865", "exception": false, - "start_time": "2022-12-09T21:25:34.030938", + "start_time": "2022-12-13T21:57:32.706864", "status": "completed" }, "tags": [] @@ -1869,16 +1869,16 @@ "id": "9d52c084", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:34.117494Z", - "iopub.status.busy": "2022-12-09T21:25:34.116843Z", - "iopub.status.idle": "2022-12-09T21:25:34.164484Z", - "shell.execute_reply": "2022-12-09T21:25:34.163314Z" + "iopub.execute_input": "2022-12-13T21:57:32.771429Z", + "iopub.status.busy": "2022-12-13T21:57:32.770886Z", + "iopub.status.idle": "2022-12-13T21:57:32.810080Z", + "shell.execute_reply": "2022-12-13T21:57:32.809236Z" }, "papermill": { - "duration": 0.077147, - "end_time": "2022-12-09T21:25:34.166606", + "duration": 0.063024, + "end_time": "2022-12-13T21:57:32.811872", "exception": false, - "start_time": "2022-12-09T21:25:34.089459", + "start_time": "2022-12-13T21:57:32.748848", "status": "completed" }, "scrolled": true, @@ -1903,10 +1903,10 @@ "id": "0bf0c6d8", "metadata": { "papermill": { - "duration": 0.028095, - "end_time": "2022-12-09T21:25:34.224998", + "duration": 0.021208, + "end_time": "2022-12-13T21:57:32.854825", "exception": false, - "start_time": "2022-12-09T21:25:34.196903", + "start_time": "2022-12-13T21:57:32.833617", "status": "completed" }, "tags": [] @@ -1921,16 +1921,16 @@ "id": "1bdb4120", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:34.280144Z", - "iopub.status.busy": "2022-12-09T21:25:34.278526Z", - "iopub.status.idle": "2022-12-09T21:25:34.349855Z", - "shell.execute_reply": "2022-12-09T21:25:34.348761Z" + "iopub.execute_input": "2022-12-13T21:57:32.899250Z", + "iopub.status.busy": "2022-12-13T21:57:32.898472Z", + "iopub.status.idle": "2022-12-13T21:57:32.948720Z", + "shell.execute_reply": "2022-12-13T21:57:32.947898Z" }, "papermill": { - "duration": 0.101678, - "end_time": "2022-12-09T21:25:34.352541", + "duration": 0.074715, + "end_time": "2022-12-13T21:57:32.950706", "exception": false, - "start_time": "2022-12-09T21:25:34.250863", + "start_time": "2022-12-13T21:57:32.875991", "status": "completed" }, "scrolled": true, @@ -2126,10 +2126,10 @@ "id": "7dd70f60", "metadata": { "papermill": { - "duration": 0.025301, - "end_time": "2022-12-09T21:25:34.406967", + "duration": 0.021415, + "end_time": "2022-12-13T21:57:32.994155", "exception": false, - "start_time": "2022-12-09T21:25:34.381666", + "start_time": "2022-12-13T21:57:32.972740", "status": "completed" }, "tags": [] @@ -2147,10 +2147,10 @@ "id": "eee9addd", "metadata": { "papermill": { - "duration": 0.025565, - "end_time": "2022-12-09T21:25:34.458406", + "duration": 0.021323, + "end_time": "2022-12-13T21:57:33.036897", "exception": false, - "start_time": "2022-12-09T21:25:34.432841", + "start_time": "2022-12-13T21:57:33.015574", "status": "completed" }, "tags": [] @@ -2167,16 +2167,16 @@ "id": "5bc33966", "metadata": { "execution": { - "iopub.execute_input": 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+3535,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 37, @@ -3579,10 +3579,10 @@ "id": "79959429", "metadata": { "papermill": { - "duration": 0.043838, - "end_time": "2022-12-09T21:25:39.208439", + "duration": 0.031331, + "end_time": "2022-12-13T21:57:36.480937", "exception": false, - "start_time": "2022-12-09T21:25:39.164601", + "start_time": "2022-12-13T21:57:36.449606", "status": "completed" }, "tags": [] @@ -3596,10 +3596,10 @@ "id": "eae44432", "metadata": { "papermill": { - "duration": 0.044987, - "end_time": "2022-12-09T21:25:39.298015", + "duration": 0.031069, + "end_time": "2022-12-13T21:57:36.543261", "exception": false, - "start_time": "2022-12-09T21:25:39.253028", + "start_time": "2022-12-13T21:57:36.512192", "status": "completed" }, "tags": [] @@ -3616,16 +3616,16 @@ "id": "fa84106f", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:39.380223Z", - "iopub.status.busy": "2022-12-09T21:25:39.379757Z", - "iopub.status.idle": "2022-12-09T21:25:57.863090Z", - "shell.execute_reply": "2022-12-09T21:25:57.861923Z" + "iopub.execute_input": "2022-12-13T21:57:36.607684Z", + "iopub.status.busy": "2022-12-13T21:57:36.606838Z", + "iopub.status.idle": "2022-12-13T21:57:59.128884Z", + "shell.execute_reply": "2022-12-13T21:57:59.128079Z" }, "papermill": { - "duration": 18.529102, - "end_time": "2022-12-09T21:25:57.865981", + "duration": 22.557192, + "end_time": "2022-12-13T21:57:59.131498", "exception": false, - "start_time": "2022-12-09T21:25:39.336879", + "start_time": "2022-12-13T21:57:36.574306", "status": "completed" }, "tags": [] @@ -3635,7 +3635,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_826587940.nwb: 100%|██████████| 397M/397M [00:11<00:00, 33.2MMB/s]\n", + "behavior_ophys_experiment_826587940.nwb: 100%|██████████| 397M/397M [00:17<00:00, 22.2MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", @@ -3656,16 +3656,16 @@ "id": "94b81ac8", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:57.952831Z", - "iopub.status.busy": "2022-12-09T21:25:57.952231Z", - "iopub.status.idle": "2022-12-09T21:25:57.992971Z", - "shell.execute_reply": "2022-12-09T21:25:57.991909Z" + "iopub.execute_input": "2022-12-13T21:57:59.210726Z", + "iopub.status.busy": "2022-12-13T21:57:59.210078Z", + "iopub.status.idle": "2022-12-13T21:57:59.242820Z", + "shell.execute_reply": "2022-12-13T21:57:59.242062Z" }, "papermill": { - "duration": 0.086516, - "end_time": "2022-12-09T21:25:57.995657", + "duration": 0.073654, + "end_time": "2022-12-13T21:57:59.244604", "exception": false, - "start_time": "2022-12-09T21:25:57.909141", + "start_time": "2022-12-13T21:57:59.170950", "status": "completed" }, "tags": [] @@ -3690,16 +3690,16 @@ "id": "dd1d3e9e", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:25:58.090024Z", - "iopub.status.busy": "2022-12-09T21:25:58.089602Z", - "iopub.status.idle": "2022-12-09T21:25:59.125966Z", - "shell.execute_reply": "2022-12-09T21:25:59.123444Z" + "iopub.execute_input": "2022-12-13T21:57:59.323346Z", + "iopub.status.busy": "2022-12-13T21:57:59.322725Z", + "iopub.status.idle": "2022-12-13T21:58:00.017715Z", + "shell.execute_reply": "2022-12-13T21:58:00.017045Z" }, "papermill": { - "duration": 1.087461, - "end_time": "2022-12-09T21:25:59.128448", + "duration": 0.736408, + "end_time": "2022-12-13T21:58:00.020036", "exception": false, - "start_time": "2022-12-09T21:25:58.040987", + "start_time": "2022-12-13T21:57:59.283628", "status": "completed" }, "scrolled": false, @@ -3709,7 +3709,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 40, @@ -3755,10 +3755,10 @@ "id": "fd286129", "metadata": { "papermill": { - "duration": 0.055913, - "end_time": "2022-12-09T21:25:59.247731", + "duration": 0.041694, + "end_time": "2022-12-13T21:58:00.104604", "exception": false, - "start_time": "2022-12-09T21:25:59.191818", + "start_time": "2022-12-13T21:58:00.062910", "status": "completed" }, "tags": [] @@ -3789,17 +3789,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 61.79023, - "end_time": "2022-12-09T21:26:00.119971", + "duration": 59.869407, + "end_time": "2022-12-13T21:58:00.868151", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_load_ophys_data.ipynb", - "output_path": "/tmp/tmpxap_ubyq/scratch_nb.ipynb", + "output_path": "/tmp/tmpiixc5wx0/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpxap_ubyq", + "output_dir": "/tmp/tmpiixc5wx0", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T21:24:58.329741", + "start_time": "2022-12-13T21:57:00.998744", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb index 58ccd2f1f..0a1b05296 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb @@ -2,7 +2,17 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "id": "4e2ade4e", + "metadata": { + "papermill": { + "duration": 0.00944, + "end_time": "2022-12-14T00:13:45.298242", + "exception": false, + "start_time": "2022-12-14T00:13:45.288802", + "status": "completed" + }, + "tags": [] + }, "source": [ "# Example behavior session\n", "The following example shows how to access behavioral data for a given mouse across sessions\n", @@ -12,37 +22,173 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "1f16c32f", + "metadata": { + "papermill": { + "duration": 0.0074, + "end_time": "2022-12-14T00:13:45.313560", + "exception": false, + "start_time": "2022-12-14T00:13:45.306160", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Install AllenSDK into your local environment" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "0445ee15", + "metadata": { + "papermill": { + "duration": 0.007356, + "end_time": "2022-12-14T00:13:45.328329", + "exception": false, + "start_time": "2022-12-14T00:13:45.320973", + "status": "completed" + }, + "tags": [] + }, "source": [ "You can install AllenSDK with:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 1, + "id": "cc32c22f", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:45.345232Z", + "iopub.status.busy": "2022-12-14T00:13:45.344551Z", + "iopub.status.idle": "2022-12-14T00:13:47.707819Z", + "shell.execute_reply": "2022-12-14T00:13:47.706724Z" + }, + "papermill": { + "duration": 2.374931, + "end_time": "2022-12-14T00:13:47.710636", + "exception": false, + "start_time": "2022-12-14T00:13:45.335705", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) 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(from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", + "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" + ] + } + ], "source": [ "!pip install allensdk" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "ea47bb9e", + "metadata": { + "papermill": { + "duration": 0.00821, + "end_time": "2022-12-14T00:13:47.728894", + "exception": false, + "start_time": "2022-12-14T00:13:47.720684", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Install AllenSDK into your notebook environment (good for Google Colab)" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "5a984779", + "metadata": { + "papermill": { + "duration": 0.008055, + "end_time": "2022-12-14T00:13:47.745027", + "exception": false, + "start_time": "2022-12-14T00:13:47.736972", + "status": "completed" + }, + "tags": [] + }, "source": [ "You can install AllenSDK into your notebook environment by executing the cell below.\n", "\n", @@ -52,9 +198,106 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 2, + "id": "63f56928", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:47.763337Z", + "iopub.status.busy": "2022-12-14T00:13:47.762586Z", + "iopub.status.idle": "2022-12-14T00:13:51.821075Z", + "shell.execute_reply": "2022-12-14T00:13:51.819932Z" + }, + "papermill": { + "duration": 4.070566, + "end_time": "2022-12-14T00:13:51.823658", + "exception": false, + "start_time": "2022-12-14T00:13:47.753092", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: pip in 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"2022-12-14T00:13:57.253193", + "exception": false, + "start_time": "2022-12-14T00:13:51.851105", + "status": "completed" + }, + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -97,8 +374,24 @@ }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, + "execution_count": 4, + "id": "20d529af", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:57.273693Z", + "iopub.status.busy": "2022-12-14T00:13:57.272810Z", + "iopub.status.idle": "2022-12-14T00:13:57.280265Z", + "shell.execute_reply": "2022-12-14T00:13:57.279466Z" + }, + "papermill": { + "duration": 0.019227, + "end_time": "2022-12-14T00:13:57.281924", + "exception": false, + "start_time": "2022-12-14T00:13:57.262697", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "%matplotlib notebook" @@ -106,9 +399,33 @@ }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, + "execution_count": 5, + "id": "b126e7d6", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:57.301438Z", + "iopub.status.busy": "2022-12-14T00:13:57.300704Z", + "iopub.status.idle": "2022-12-14T00:13:57.306860Z", + "shell.execute_reply": "2022-12-14T00:13:57.306254Z" + }, + "papermill": { + "duration": 0.017459, + "end_time": "2022-12-14T00:13:57.308287", + "exception": false, + "start_time": "2022-12-14T00:13:57.290828", + "status": "completed" + }, + "tags": [] + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_6610/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + " from IPython.core.display import display, HTML\n" + ] + }, { "data": { "text/html": [ @@ -129,7 +446,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "fba2b66b", + "metadata": { + "papermill": { + "duration": 0.009045, + "end_time": "2022-12-14T00:13:57.326477", + "exception": false, + "start_time": "2022-12-14T00:13:57.317432", + "status": "completed" + }, + "tags": [] + }, "source": [ "## load cache, get behavior session table\n", "This will set a location on your local drive to cache NWB files. \n", @@ -138,8 +465,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, + "id": "6d7c550f", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:57.346247Z", + "iopub.status.busy": "2022-12-14T00:13:57.345589Z", + "iopub.status.idle": "2022-12-14T00:13:57.349072Z", + "shell.execute_reply": "2022-12-14T00:13:57.348383Z" + }, + "papermill": { + "duration": 0.015172, + "end_time": "2022-12-14T00:13:57.350662", + "exception": false, + "start_time": "2022-12-14T00:13:57.335490", + "status": "completed" + }, "tags": [ "parameters" ] @@ -152,17 +493,45 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 8, + "id": "feac4e93", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:13:57.395176Z", + "iopub.status.busy": "2022-12-14T00:13:57.394581Z", + "iopub.status.idle": "2022-12-14T00:14:00.581883Z", + "shell.execute_reply": "2022-12-14T00:14:00.581122Z" + }, + "papermill": { + "duration": 3.199502, + "end_time": "2022-12-14T00:14:00.584056", + "exception": false, + "start_time": "2022-12-14T00:13:57.384554", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 269kMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:03<00:00, 403kMB/s] \n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:01<00:00, 404kMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:09<00:00, 448kMB/s] \n" + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "\n", + "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", + "\n", + "to avoid needlessly downloading duplicates of data files that did not change between data releases. NOTE: running this method will require hashing every data file you have currently downloaded and could be very time consuming.\n", + "\n", + "To avoid this warning in the future, make sure that\n", + "\n", + "/tmp/tmp2emjscrv/_downloaded_data.json\n", + "\n", + "is not deleted between instantiations of this cache\n", + " warnings.warn(msg, MissingLocalManifestWarning)\n", + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.44MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.41MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 4.10MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 7.68MMB/s]\n" ] } ], @@ -174,7 +543,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "5aaaaaf3", + "metadata": { + "papermill": { + "duration": 0.010298, + "end_time": "2022-12-14T00:14:00.605132", + "exception": false, + "start_time": "2022-12-14T00:14:00.594834", + "status": "completed" + }, + "tags": [] + }, "source": [ "## view a sample of the behavior session table\n", "The `behavior_session_table` is a Pandas DataFrame with one row for every session and a collection of informative columns. We can view 10 randomly selected rows of the table using the Pandas `sample` command. \n", @@ -183,8 +562,24 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": 9, + "id": "d892b037", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:14:00.627256Z", + "iopub.status.busy": "2022-12-14T00:14:00.626780Z", + "iopub.status.idle": "2022-12-14T00:14:00.660580Z", + "shell.execute_reply": "2022-12-14T00:14:00.658940Z" + }, + "papermill": { + "duration": 0.047076, + "end_time": "2022-12-14T00:14:00.662513", + "exception": false, + "start_time": "2022-12-14T00:14:00.615437", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -214,7 +609,6 @@ " driver_line\n", " sex\n", " age_in_days\n", - " session_type\n", " cre_line\n", " indicator\n", " session_number\n", @@ -226,6 +620,7 @@ " ophys_container_id\n", " project_code\n", " date_of_acquisition\n", + " session_type\n", " file_id\n", " \n", " \n", @@ -254,234 +649,234 @@ " \n", " \n", " \n", - " 974330793\n", - " BEH.F-Box1\n", + " 935601725\n", + " CAM2P.3\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 459777\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " F\n", + " 175.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " 0.0\n", + " 3.0\n", + " 55.0\n", + " 0.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2019-08-30 08:56:11.549\n", + " OPHYS_0_images_A_habituation\n", + " 1.085370e+09\n", + " \n", + " \n", + " 1097949023\n", + " BEH.D-Box1\n", " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 477202\n", + " 555970\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Sst-IRES-Cre]\n", " M\n", - " 150.0\n", - " OPHYS_0_images_B_habituation\n", + " 197.0\n", " Sst-IRES-Cre\n", " GCaMP6f\n", + " NaN\n", + " 22.0\n", + " 27.0\n", " 0.0\n", - " 0\n", - " 39.0\n", - " 0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-10-30 14:18:09.393\n", - " 1.081760e+09\n", + " 2021-04-20 13:14:44.760\n", + " TRAINING_5_images_G_handoff_ready\n", + " 1.120014e+09\n", " \n", " \n", - " 1030893060\n", - " BEH.G-Box4\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 524274\n", + " 865463877\n", + " BEH.B-Box1\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 453988\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", - " [Sst-IRES-Cre]\n", + " [Vip-IRES-Cre]\n", " M\n", - " 93.0\n", - " TRAINING_0_gratings_autorewards_15min\n", - " Sst-IRES-Cre\n", + " 90.0\n", + " Vip-IRES-Cre\n", " GCaMP6f\n", " NaN\n", - " 0\n", + " 8.0\n", " NaN\n", - " 0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2020-06-19 12:03:18.947\n", - " 1.085379e+09\n", + " 2019-05-09 12:48:44.543\n", + " TRAINING_1_gratings\n", + " 1.085364e+09\n", " \n", " \n", - " 825012995\n", - " BEH.G\n", + " 1060633240\n", + " BEH.G-Box6\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 429952\n", + " 544261\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 129.0\n", - " TRAINING_4_images_A_handoff_ready\n", + " F\n", + " 105.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", " NaN\n", - " 5\n", - " 9.0\n", - " 0\n", + " 10.0\n", + " NaN\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-02-18 14:58:21.851\n", - " 1.081581e+09\n", + " 2020-11-02 09:00:06.683\n", + " TRAINING_1_gratings\n", + " 1.085381e+09\n", " \n", " \n", - " 881315895\n", - " CAM2P.4\n", + " 802458646\n", + " BEH.G\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G...\n", - " 456564\n", + " 423606\n", " Ai94(TITL-GCaMP6s)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 105.0\n", - " OPHYS_0_images_A_habituation\n", + " M\n", + " 109.0\n", " Slc17a7-IRES2-Cre\n", " GCaMP6s\n", + " NaN\n", + " 5.0\n", + " 12.0\n", " 0.0\n", - " 0\n", - " 16.0\n", - " 0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-06-05 10:38:55.714\n", - " 1.085367e+09\n", + " 2019-01-02 11:52:29.221\n", + " TRAINING_4_images_A_handoff_ready\n", + " 1.081572e+09\n", " \n", " \n", - " 1038132332\n", - " BEH.G-Box1\n", + " 908533370\n", + " MESO.1\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 453911\n", + " Ai93(TITL-GCaMP6f)\n", + " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " M\n", + " 160.0\n", + " Slc17a7-IRES2-Cre\n", + " GCaMP6f\n", + " 6.0\n", + " 0.0\n", + " 2.0\n", + " 7.0\n", + " 908441202.0\n", + " [909177759]\n", + " [1018027884]\n", + " VisualBehaviorMultiscope\n", + " 2019-07-18 08:50:09.254\n", + " OPHYS_6_images_B\n", + " NaN\n", + " \n", + " \n", + " 1093150566\n", + " BEH.G-Box3\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 523927\n", + " 563231\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", " F\n", - " 129.0\n", - " TRAINING_5_images_A_epilogue\n", + " 118.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", " NaN\n", - " 3\n", - " 11.0\n", - " 0\n", + " 5.0\n", + " 10.0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2020-07-23 13:13:25.926\n", - " 1.081778e+09\n", + " 2021-03-29 08:49:52.611\n", + " TRAINING_5_images_G_handoff_ready\n", + " 1.120015e+09\n", " \n", " \n", - " 1055031004\n", + " 911522814\n", " BEH.F-Box3\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 538219\n", + " 453989\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " F\n", - " 117.0\n", - " TRAINING_1_gratings\n", + " M\n", + " 166.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", " NaN\n", - " 11\n", - " NaN\n", - " 0\n", + " 5.0\n", + " 25.0\n", + " 0.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2020-10-06 13:47:11.772\n", - " 1.085381e+09\n", - " \n", - " \n", - " 917506393\n", - " BEH.G-Box6\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 459777\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 150.0\n", + " 2019-07-24 12:21:19.825\n", " TRAINING_5_images_A_handoff_ready\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " NaN\n", - " 31\n", - " 39.0\n", - " 0\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-08-05 12:25:59.198\n", - " 1.081713e+09\n", + " 1.081703e+09\n", " \n", " \n", - " 918900907\n", - " BEH.F-Box3\n", + " 943833533\n", + " MESO.1\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 453988\n", + " 453991\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", " M\n", - " 180.0\n", - " TRAINING_5_images_A_handoff_ready\n", + " 215.0\n", " Vip-IRES-Cre\n", " GCaMP6f\n", - " NaN\n", - " 28\n", - " 43.0\n", - " 0\n", + " 3.0\n", + " 0.0\n", + " 34.0\n", + " 4.0\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " 2019-08-07 09:31:30.837\n", - " 1.081714e+09\n", + " 2019-09-11 12:17:54.200\n", + " OPHYS_3_images_A\n", + " 1.081740e+09\n", " \n", " \n", - " 976558967\n", - " MESO.1\n", + " 1069509957\n", + " BEH.D-Box5\n", " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 482853\n", + " 544965\n", " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Sst-IRES-Cre]\n", " M\n", - " 128.0\n", - " OPHYS_2_images_A_passive\n", + " 138.0\n", " Sst-IRES-Cre\n", " GCaMP6f\n", - " 2.0\n", - " 0\n", - " 27.0\n", - " 2\n", - " 976382032.0\n", - " [977247466, 977247468, 977247472, 977247474, 9...\n", - " [1018028199, 1018028202, 1018028212, 101802821...\n", - " VisualBehaviorMultiscope\n", - " 2019-11-05 08:53:47.241\n", " NaN\n", - " \n", - " \n", - " 902135840\n", - " CAM2P.5\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 461946\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 112.0\n", - " OPHYS_2_images_B_passive\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 2.0\n", - " 0\n", - " 13.0\n", - " 2\n", - " 901759468.0\n", - " [902487182]\n", - " [895259496]\n", - " VisualBehaviorTask1B\n", - " 2019-07-09 11:01:23.316\n", + " 23.0\n", + " 30.0\n", + " 0.0\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", + " 2020-12-10 13:16:35.790\n", + " TRAINING_5_images_A_handoff_ready\n", + " 1.120011e+09\n", " \n", " \n", "\n", @@ -490,175 +885,149 @@ "text/plain": [ " equipment_name \\\n", "behavior_session_id \n", - "974330793 BEH.F-Box1 \n", - "1030893060 BEH.G-Box4 \n", - "825012995 BEH.G \n", - "881315895 CAM2P.4 \n", - "1038132332 BEH.G-Box1 \n", - "1055031004 BEH.F-Box3 \n", - "917506393 BEH.G-Box6 \n", - "918900907 BEH.F-Box3 \n", - "976558967 MESO.1 \n", - "902135840 CAM2P.5 \n", + "935601725 CAM2P.3 \n", + "1097949023 BEH.D-Box1 \n", + "865463877 BEH.B-Box1 \n", + "1060633240 BEH.G-Box6 \n", + "802458646 BEH.G \n", + "908533370 MESO.1 \n", + "1093150566 BEH.G-Box3 \n", + "911522814 BEH.F-Box3 \n", + "943833533 MESO.1 \n", + "1069509957 BEH.D-Box5 \n", "\n", " full_genotype \\\n", "behavior_session_id \n", - "974330793 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "1030893060 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "825012995 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "881315895 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", - "1038132332 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "1055031004 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "917506393 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "918900907 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "976558967 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "902135840 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "974330793 477202 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "1030893060 524274 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "825012995 429952 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "881315895 456564 Ai94(TITL-GCaMP6s) \n", - "1038132332 523927 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "1055031004 538219 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "917506393 459777 Ai93(TITL-GCaMP6f) \n", - "918900907 453988 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "976558967 482853 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "902135840 461946 Ai93(TITL-GCaMP6f) \n", + "935601725 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "1097949023 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "865463877 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1060633240 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "802458646 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", + "908533370 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "1093150566 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "911522814 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "943833533 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1069509957 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "\n", + " mouse_id reporter_line \\\n", + "behavior_session_id \n", + "935601725 459777 Ai93(TITL-GCaMP6f) \n", + "1097949023 555970 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "865463877 453988 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "1060633240 544261 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "802458646 423606 Ai94(TITL-GCaMP6s) \n", + "908533370 453911 Ai93(TITL-GCaMP6f) \n", + "1093150566 563231 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "911522814 453989 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "943833533 453991 Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "1069509957 544965 Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", " driver_line sex age_in_days \\\n", "behavior_session_id \n", - "974330793 [Sst-IRES-Cre] M 150.0 \n", - "1030893060 [Sst-IRES-Cre] M 93.0 \n", - "825012995 [Vip-IRES-Cre] M 129.0 \n", - "881315895 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 105.0 \n", - "1038132332 [Vip-IRES-Cre] F 129.0 \n", - "1055031004 [Vip-IRES-Cre] F 117.0 \n", - "917506393 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 150.0 \n", - "918900907 [Vip-IRES-Cre] M 180.0 \n", - "976558967 [Sst-IRES-Cre] M 128.0 \n", - "902135840 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 112.0 \n", - "\n", - " session_type cre_line \\\n", - "behavior_session_id \n", - "974330793 OPHYS_0_images_B_habituation Sst-IRES-Cre \n", - "1030893060 TRAINING_0_gratings_autorewards_15min Sst-IRES-Cre \n", - "825012995 TRAINING_4_images_A_handoff_ready Vip-IRES-Cre \n", - "881315895 OPHYS_0_images_A_habituation Slc17a7-IRES2-Cre \n", - "1038132332 TRAINING_5_images_A_epilogue Vip-IRES-Cre \n", - "1055031004 TRAINING_1_gratings Vip-IRES-Cre \n", - "917506393 TRAINING_5_images_A_handoff_ready Slc17a7-IRES2-Cre \n", - "918900907 TRAINING_5_images_A_handoff_ready Vip-IRES-Cre \n", - "976558967 OPHYS_2_images_A_passive Sst-IRES-Cre \n", - "902135840 OPHYS_2_images_B_passive Slc17a7-IRES2-Cre \n", - "\n", - " indicator session_number \\\n", - "behavior_session_id \n", - "974330793 GCaMP6f 0.0 \n", - "1030893060 GCaMP6f NaN \n", - "825012995 GCaMP6f NaN \n", - "881315895 GCaMP6s 0.0 \n", - "1038132332 GCaMP6f NaN \n", - "1055031004 GCaMP6f NaN \n", - "917506393 GCaMP6f NaN \n", - "918900907 GCaMP6f NaN \n", - "976558967 GCaMP6f 2.0 \n", - "902135840 GCaMP6f 2.0 \n", + "935601725 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 175.0 \n", + "1097949023 [Sst-IRES-Cre] M 197.0 \n", + "865463877 [Vip-IRES-Cre] M 90.0 \n", + "1060633240 [Vip-IRES-Cre] F 105.0 \n", + "802458646 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 109.0 \n", + "908533370 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 160.0 \n", + "1093150566 [Vip-IRES-Cre] F 118.0 \n", + "911522814 [Vip-IRES-Cre] M 166.0 \n", + "943833533 [Vip-IRES-Cre] M 215.0 \n", + "1069509957 [Sst-IRES-Cre] M 138.0 \n", + "\n", + " cre_line indicator session_number \\\n", + "behavior_session_id \n", + "935601725 Slc17a7-IRES2-Cre GCaMP6f 0.0 \n", + "1097949023 Sst-IRES-Cre GCaMP6f NaN \n", + "865463877 Vip-IRES-Cre GCaMP6f NaN \n", + "1060633240 Vip-IRES-Cre GCaMP6f NaN \n", + "802458646 Slc17a7-IRES2-Cre GCaMP6s NaN \n", + "908533370 Slc17a7-IRES2-Cre GCaMP6f 6.0 \n", + "1093150566 Vip-IRES-Cre GCaMP6f NaN \n", + "911522814 Vip-IRES-Cre GCaMP6f NaN \n", + "943833533 Vip-IRES-Cre GCaMP6f 3.0 \n", + "1069509957 Sst-IRES-Cre GCaMP6f NaN \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "974330793 0 \n", - "1030893060 0 \n", - "825012995 5 \n", - "881315895 0 \n", - "1038132332 3 \n", - "1055031004 11 \n", - "917506393 31 \n", - "918900907 28 \n", - "976558967 0 \n", - "902135840 0 \n", + "935601725 3.0 \n", + "1097949023 22.0 \n", + "865463877 8.0 \n", + "1060633240 10.0 \n", + "802458646 5.0 \n", + "908533370 0.0 \n", + "1093150566 5.0 \n", + "911522814 5.0 \n", + "943833533 0.0 \n", + "1069509957 23.0 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "974330793 39.0 \n", - "1030893060 NaN \n", - "825012995 9.0 \n", - "881315895 16.0 \n", - "1038132332 11.0 \n", - "1055031004 NaN \n", - "917506393 39.0 \n", - "918900907 43.0 \n", - "976558967 27.0 \n", - "902135840 13.0 \n", + "935601725 55.0 \n", + "1097949023 27.0 \n", + "865463877 NaN \n", + "1060633240 NaN \n", + "802458646 12.0 \n", + "908533370 2.0 \n", + "1093150566 10.0 \n", + "911522814 25.0 \n", + "943833533 34.0 \n", + "1069509957 30.0 \n", "\n", " prior_exposures_to_omissions ophys_session_id \\\n", "behavior_session_id \n", - "974330793 0 NaN \n", - "1030893060 0 NaN \n", - "825012995 0 NaN \n", - "881315895 0 NaN \n", - "1038132332 0 NaN \n", - "1055031004 0 NaN \n", - "917506393 0 NaN \n", - "918900907 0 NaN \n", - "976558967 2 976382032.0 \n", - "902135840 2 901759468.0 \n", - "\n", - " ophys_experiment_id \\\n", - "behavior_session_id \n", - "974330793 NaN \n", - "1030893060 NaN \n", - "825012995 NaN \n", - "881315895 NaN \n", - "1038132332 NaN \n", - "1055031004 NaN \n", - "917506393 NaN \n", - "918900907 NaN \n", - "976558967 [977247466, 977247468, 977247472, 977247474, 9... \n", - "902135840 [902487182] \n", - "\n", - " ophys_container_id \\\n", - "behavior_session_id \n", - "974330793 NaN \n", - "1030893060 NaN \n", - "825012995 NaN \n", - "881315895 NaN \n", - "1038132332 NaN \n", - "1055031004 NaN \n", - "917506393 NaN \n", - "918900907 NaN \n", - "976558967 [1018028199, 1018028202, 1018028212, 101802821... \n", - "902135840 [895259496] \n", - "\n", - " project_code date_of_acquisition \\\n", - "behavior_session_id \n", - "974330793 NaN 2019-10-30 14:18:09.393 \n", - "1030893060 NaN 2020-06-19 12:03:18.947 \n", - "825012995 NaN 2019-02-18 14:58:21.851 \n", - "881315895 NaN 2019-06-05 10:38:55.714 \n", - "1038132332 NaN 2020-07-23 13:13:25.926 \n", - "1055031004 NaN 2020-10-06 13:47:11.772 \n", - "917506393 NaN 2019-08-05 12:25:59.198 \n", - "918900907 NaN 2019-08-07 09:31:30.837 \n", - "976558967 VisualBehaviorMultiscope 2019-11-05 08:53:47.241 \n", - "902135840 VisualBehaviorTask1B 2019-07-09 11:01:23.316 \n", - "\n", - " file_id \n", - "behavior_session_id \n", - "974330793 1.081760e+09 \n", - "1030893060 1.085379e+09 \n", - "825012995 1.081581e+09 \n", - "881315895 1.085367e+09 \n", - "1038132332 1.081778e+09 \n", - "1055031004 1.085381e+09 \n", - "917506393 1.081713e+09 \n", - "918900907 1.081714e+09 \n", - "976558967 NaN \n", - "902135840 NaN " + "935601725 0.0 NaN \n", + "1097949023 0.0 NaN \n", + "865463877 0.0 NaN \n", + "1060633240 0.0 NaN \n", + "802458646 0.0 NaN \n", + "908533370 7.0 908441202.0 \n", + "1093150566 0.0 NaN \n", + "911522814 0.0 NaN \n", + "943833533 4.0 NaN \n", + "1069509957 0.0 NaN \n", + "\n", + " ophys_experiment_id ophys_container_id \\\n", + "behavior_session_id \n", + "935601725 NaN NaN \n", + "1097949023 NaN NaN \n", + "865463877 NaN NaN \n", + "1060633240 NaN NaN \n", + "802458646 NaN NaN \n", + "908533370 [909177759] [1018027884] \n", + "1093150566 NaN NaN \n", + "911522814 NaN NaN \n", + "943833533 NaN NaN \n", + "1069509957 NaN NaN \n", + "\n", + " project_code date_of_acquisition \\\n", + "behavior_session_id \n", + "935601725 NaN 2019-08-30 08:56:11.549 \n", + "1097949023 NaN 2021-04-20 13:14:44.760 \n", + "865463877 NaN 2019-05-09 12:48:44.543 \n", + "1060633240 NaN 2020-11-02 09:00:06.683 \n", + "802458646 NaN 2019-01-02 11:52:29.221 \n", + "908533370 VisualBehaviorMultiscope 2019-07-18 08:50:09.254 \n", + "1093150566 NaN 2021-03-29 08:49:52.611 \n", + "911522814 NaN 2019-07-24 12:21:19.825 \n", + "943833533 NaN 2019-09-11 12:17:54.200 \n", + "1069509957 NaN 2020-12-10 13:16:35.790 \n", + "\n", + " session_type file_id \n", + "behavior_session_id \n", + "935601725 OPHYS_0_images_A_habituation 1.085370e+09 \n", + "1097949023 TRAINING_5_images_G_handoff_ready 1.120014e+09 \n", + "865463877 TRAINING_1_gratings 1.085364e+09 \n", + "1060633240 TRAINING_1_gratings 1.085381e+09 \n", + "802458646 TRAINING_4_images_A_handoff_ready 1.081572e+09 \n", + "908533370 OPHYS_6_images_B NaN \n", + "1093150566 TRAINING_5_images_G_handoff_ready 1.120015e+09 \n", + "911522814 TRAINING_5_images_A_handoff_ready 1.081703e+09 \n", + "943833533 OPHYS_3_images_A 1.081740e+09 \n", + "1069509957 TRAINING_5_images_A_handoff_ready 1.120011e+09 " ] }, - "execution_count": 5, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -669,7 +1038,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "f12ffb86", + "metadata": { + "papermill": { + "duration": 0.010731, + "end_time": "2022-12-14T00:14:00.684484", + "exception": false, + "start_time": "2022-12-14T00:14:00.673753", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Select one mouse\n", "We'll choose one mouse id from the full list of unique mouse IDs in the dataset" @@ -677,8 +1056,24 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 10, + "id": "996653c7", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:14:00.707650Z", + "iopub.status.busy": "2022-12-14T00:14:00.706957Z", + "iopub.status.idle": "2022-12-14T00:14:00.712663Z", + "shell.execute_reply": "2022-12-14T00:14:00.711948Z" + }, + "papermill": { + "duration": 0.019066, + "end_time": "2022-12-14T00:14:00.714204", + "exception": false, + "start_time": "2022-12-14T00:14:00.695138", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -686,7 +1081,7 @@ "'440298'" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -698,7 +1093,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "7c38c6ab", + "metadata": { + "papermill": { + "duration": 0.010785, + "end_time": "2022-12-14T00:14:00.735876", + "exception": false, + "start_time": "2022-12-14T00:14:00.725091", + "status": "completed" + }, + "tags": [] + }, "source": [ "## query the full behavior sessions table for all sessions that this mouse performed\n", "This will return a subset of the full `behavior_session_table` in which the mouse_id matches our `mouse_id` variable (mouse 445002). The table should be returned in order of date of acquisition, but we'll use the Pandas command `sort_values(by = 'date_of_acquisition')` just to be sure. \n", @@ -720,9 +1125,24 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, + "id": "dc94df56", "metadata": { - "scrolled": false + "execution": { + "iopub.execute_input": "2022-12-14T00:14:00.759129Z", + "iopub.status.busy": "2022-12-14T00:14:00.758498Z", + "iopub.status.idle": "2022-12-14T00:14:00.805548Z", + "shell.execute_reply": "2022-12-14T00:14:00.804908Z" + }, + "papermill": { + "duration": 0.06077, + "end_time": "2022-12-14T00:14:00.807454", + "exception": false, + "start_time": "2022-12-14T00:14:00.746684", + "status": "completed" + }, + "scrolled": false, + "tags": [] }, "outputs": [ { @@ -1783,7 +2203,7 @@ "853526948 OPHYS_3_images_A 1.081598e+09 " ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1797,7 +2217,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "74a8a58a", + "metadata": { + "papermill": { + "duration": 0.011922, + "end_time": "2022-12-14T00:14:00.831886", + "exception": false, + "start_time": "2022-12-14T00:14:00.819964", + "status": "completed" + }, + "tags": [] + }, "source": [ "## iterate over all sessions for this mouse, build a `behavior_session_dict` which will have one behavior session object for every session that this mouse performed, with the key being the `behavior_session_id`\n", "Note that this could take many minutes to complete. For each session in our new table, `this_mouse_table`, we are pulling the behavior session NWB file from AWS, opening it as a BehaviorSession object using the AllenSDK, and also caching a copy of the NWB file in the directory specified above as `output_dir`. When the below cell completes, all behavior sessions for this mouse will be held in memory in the `behavior_session_dict` dictionary. \n", @@ -1809,102 +2239,168 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, + "execution_count": 12, + "id": "c0fbbfa9", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:14:00.857566Z", + "iopub.status.busy": "2022-12-14T00:14:00.856849Z", + "iopub.status.idle": "2022-12-14T00:21:03.174752Z", + "shell.execute_reply": "2022-12-14T00:21:03.172081Z" + }, + "papermill": { + "duration": 422.335467, + "end_time": "2022-12-14T00:21:03.179373", + "exception": false, + "start_time": "2022-12-14T00:14:00.843906", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "behavior_session_831129394.nwb: 100%|██████████| 51.7M/51.7M [00:10<00:00, 5.10MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_831129394.nwb: 100%|██████████| 51.7M/51.7M [00:02<00:00, 25.3MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_832021447.nwb: 100%|██████████| 66.9M/66.9M [00:13<00:00, 5.06MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_832544149.nwb: 100%|██████████| 66.9M/66.9M [00:13<00:00, 4.92MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_832021447.nwb: 100%|██████████| 66.9M/66.9M [00:02<00:00, 26.0MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_833328750.nwb: 100%|██████████| 66.8M/66.8M [00:14<00:00, 4.49MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_834087859.nwb: 100%|██████████| 66.7M/66.7M [00:14<00:00, 4.51MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_832544149.nwb: 100%|██████████| 66.9M/66.9M [00:02<00:00, 25.2MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_834903060.nwb: 100%|██████████| 67.9M/67.9M [00:17<00:00, 3.78MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_835557296.nwb: 100%|██████████| 68.0M/68.0M [00:10<00:00, 6.38MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_833328750.nwb: 100%|██████████| 66.8M/66.8M [00:03<00:00, 21.4MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_836166694.nwb: 100%|██████████| 188M/188M [00:23<00:00, 7.95MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_836761653.nwb: 100%|██████████| 188M/188M [00:26<00:00, 7.07MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_834087859.nwb: 100%|██████████| 66.7M/66.7M [00:02<00:00, 27.6MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_837192567.nwb: 100%|██████████| 188M/188M [00:41<00:00, 4.52MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_837638916.nwb: 100%|██████████| 188M/188M [00:37<00:00, 5.07MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_834903060.nwb: 100%|██████████| 67.9M/67.9M [00:02<00:00, 29.7MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_838496126.nwb: 100%|██████████| 193M/193M [01:37<00:00, 1.97MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839234289.nwb: 100%|██████████| 193M/193M [00:44<00:00, 4.29MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_835557296.nwb: 100%|██████████| 68.0M/68.0M [00:02<00:00, 27.2MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839566045.nwb: 100%|██████████| 193M/193M [00:39<00:00, 4.94MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839939986.nwb: 100%|██████████| 193M/193M [00:42<00:00, 4.55MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_836166694.nwb: 100%|██████████| 188M/188M [00:06<00:00, 28.3MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_840594514.nwb: 100%|██████████| 193M/193M [00:52<00:00, 3.66MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_841148118.nwb: 100%|██████████| 193M/193M [00:29<00:00, 6.43MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_836761653.nwb: 100%|██████████| 188M/188M [00:06<00:00, 28.8MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_841707177.nwb: 100%|██████████| 193M/193M [00:40<00:00, 4.77MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_842174399.nwb: 100%|██████████| 193M/193M [00:39<00:00, 4.89MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_837192567.nwb: 100%|██████████| 188M/188M [00:06<00:00, 29.0MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - 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"/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_844164376.nwb: 100%|██████████| 193M/193M [00:15<00:00, 12.1MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_844849972.nwb: 100%|██████████| 193M/193M [00:24<00:00, 8.02MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "behavior_ophys_experiment_848694639.nwb: 100%|██████████| 428M/428M [00:42<00:00, 10.2MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_838496126.nwb: 100%|██████████| 193M/193M [00:07<00:00, 27.0MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_839234289.nwb: 100%|██████████| 193M/193M [00:07<00:00, 26.0MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because 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"/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_842174399.nwb: 100%|██████████| 193M/193M [00:07<00:00, 26.8MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_842973730.nwb: 100%|██████████| 864M/864M [00:32<00:00, 26.7MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_843519218.nwb: 100%|██████████| 829M/829M [00:31<00:00, 26.0MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_844164376.nwb: 100%|██████████| 193M/193M [00:09<00:00, 20.3MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_844849972.nwb: 100%|██████████| 193M/193M [00:08<00:00, 21.6MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_848694639.nwb: 100%|██████████| 428M/428M [00:18<00:00, 23.7MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_session_846194950.nwb: 100%|██████████| 193M/193M [00:09<00:00, 19.4MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "behavior_ophys_experiment_847125577.nwb: 100%|██████████| 924M/924M [00:47<00:00, 19.5MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", + " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_846194950.nwb: 100%|██████████| 193M/193M [00:17<00:00, 10.7MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_ophys_experiment_848698709.nwb: 100%|██████████| 1.33G/1.33G [00:49<00:00, 26.8MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_847125577.nwb: 100%|██████████| 924M/924M [02:11<00:00, 7.03MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_848698709.nwb: 100%|██████████| 1.33G/1.33G [02:30<00:00, 8.81MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "behavior_session_853526948.nwb: 100%|██████████| 193M/193M [00:06<00:00, 27.9MMB/s]\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_853526948.nwb: 100%|██████████| 193M/193M [01:37<00:00, 1.98MMB/s] \n", - "/opt/anaconda3/lib/python3.8/site-packages/hdmf/spec/namespace.py:532: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.0 is already loaded.\n", + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" ] } @@ -1918,7 +2414,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "ff0cddf4", + "metadata": { + "papermill": { + "duration": 0.133067, + "end_time": "2022-12-14T00:21:03.454532", + "exception": false, + "start_time": "2022-12-14T00:21:03.321465", + "status": "completed" + }, + "tags": [] + }, "source": [ "## We can view all attributes of the behavior session object\n", "These are all of the methods and attributes available on the BehaviorSession object. Not all are explored in this notebook." @@ -1926,9 +2432,24 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, + "id": "2c457e12", "metadata": { - "scrolled": true + "execution": { + "iopub.execute_input": "2022-12-14T00:21:03.722676Z", + "iopub.status.busy": "2022-12-14T00:21:03.721959Z", + "iopub.status.idle": "2022-12-14T00:21:03.730529Z", + "shell.execute_reply": "2022-12-14T00:21:03.729925Z" + }, + "papermill": { + "duration": 0.146687, + "end_time": "2022-12-14T00:21:03.732089", + "exception": false, + "start_time": "2022-12-14T00:21:03.585402", + "status": "completed" + }, + "scrolled": true, + "tags": [] }, "outputs": [ { @@ -1952,7 +2473,7 @@ " 'trials']" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1964,15 +2485,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "0f7a6887", + "metadata": { + "papermill": { + "duration": 0.160133, + "end_time": "2022-12-14T00:21:04.025289", + "exception": false, + "start_time": "2022-12-14T00:21:03.865156", + "status": "completed" + }, + "tags": [] + }, "source": [ "Note that any attribute can be followed by a `?` in a Jupyter Notebook to see the docstring. For example, running the cell below will make a frame appear at the bottom of your browser with the docstring for the `running_speed` attribute." ] }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 14, + "id": "17525cab", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:04.293581Z", + "iopub.status.busy": "2022-12-14T00:21:04.293206Z", + "iopub.status.idle": "2022-12-14T00:21:04.300265Z", + "shell.execute_reply": "2022-12-14T00:21:04.299642Z" + }, + "papermill": { + "duration": 0.143286, + "end_time": "2022-12-14T00:21:04.301737", + "exception": false, + "start_time": "2022-12-14T00:21:04.158451", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "behavior_session = behavior_session_dict[behavior_session_id]\n", @@ -1981,7 +2528,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "e90defcb", + "metadata": { + "papermill": { + "duration": 0.133106, + "end_time": "2022-12-14T00:21:04.566238", + "exception": false, + "start_time": "2022-12-14T00:21:04.433132", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### here are some basic task parameters\n", "We can see the session_type, which is `OPHYS_5_images_B_passive` and a number of other task parameters." @@ -1989,26 +2546,42 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 15, + "id": "5083aad7", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:04.880717Z", + "iopub.status.busy": "2022-12-14T00:21:04.879870Z", + "iopub.status.idle": "2022-12-14T00:21:04.890899Z", + "shell.execute_reply": "2022-12-14T00:21:04.890246Z" + }, + "papermill": { + "duration": 0.193523, + "end_time": "2022-12-14T00:21:04.892436", + "exception": false, + "start_time": "2022-12-14T00:21:04.698913", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { "text/plain": [ - "{'n_stimulus_frames': 69255,\n", - " 'response_window_sec': [0.15, 0.75],\n", - " 'auto_reward_volume': 0.005,\n", - " 'session_type': 'OPHYS_5_images_B_passive',\n", - " 'stimulus_distribution': 'geometric',\n", - " 'task': 'change detection',\n", - " 'stimulus': 'images',\n", + "{'auto_reward_volume': 0.005,\n", + " 'blank_duration_sec': [0.5, 0.5],\n", + " 'n_stimulus_frames': 69674,\n", " 'omitted_flash_fraction': 0.05,\n", + " 'response_window_sec': [0.15, 0.75],\n", " 'reward_volume': 0.007,\n", + " 'session_type': 'OPHYS_3_images_A',\n", + " 'stimulus': 'images',\n", + " 'stimulus_distribution': 'geometric',\n", " 'stimulus_duration_sec': 0.25,\n", - " 'blank_duration_sec': [0.5, 0.5]}" + " 'task': 'change detection'}" ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -2019,7 +2592,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "b7186587", + "metadata": { + "papermill": { + "duration": 0.131096, + "end_time": "2022-12-14T00:21:05.153993", + "exception": false, + "start_time": "2022-12-14T00:21:05.022897", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Look at some of the attributes of the last 'handoff ready session'\n", "We can filter the full table to get the last `TRAINING_5_images_A_handoff_ready` session. This would have been the last training session before the animal was subsequently handed off to the imaging team, after which all sessions were performed on a two-photon imaging rig." @@ -2027,8 +2610,24 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "execution_count": 16, + "id": "0d49dd24", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:05.417271Z", + "iopub.status.busy": "2022-12-14T00:21:05.416361Z", + "iopub.status.idle": "2022-12-14T00:21:05.430819Z", + "shell.execute_reply": "2022-12-14T00:21:05.430004Z" + }, + "papermill": { + "duration": 0.148006, + "end_time": "2022-12-14T00:21:05.432472", + "exception": false, + "start_time": "2022-12-14T00:21:05.284466", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "behavior_session_id = this_mouse_table.query('session_type == \"TRAINING_5_images_A_handoff_ready\"').index[-1]\n", @@ -2039,7 +2638,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "820d6b7e", + "metadata": { + "papermill": { + "duration": 0.130613, + "end_time": "2022-12-14T00:21:05.694894", + "exception": false, + "start_time": "2022-12-14T00:21:05.564281", + "status": "completed" + }, + "tags": [] + }, "source": [ "### stimuli\n", "One entry for every distinct stimulus. Includes onset and offset time/frame." @@ -2047,8 +2656,24 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, + "execution_count": 17, + "id": "a0e09d3d", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:05.960342Z", + "iopub.status.busy": "2022-12-14T00:21:05.959628Z", + "iopub.status.idle": "2022-12-14T00:21:05.978717Z", + "shell.execute_reply": "2022-12-14T00:21:05.978100Z" + }, + "papermill": { + "duration": 0.153847, + "end_time": "2022-12-14T00:21:05.980286", + "exception": false, + "start_time": "2022-12-14T00:21:05.826439", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -2192,7 +2817,7 @@ "4 18165.0 302.952841 303.203040 " ] }, - "execution_count": 14, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -2203,7 +2828,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "fbe586f5", + "metadata": { + "papermill": { + "duration": 0.130844, + "end_time": "2022-12-14T00:21:06.243924", + "exception": false, + "start_time": "2022-12-14T00:21:06.113080", + "status": "completed" + }, + "tags": [] + }, "source": [ "### licks\n", "One entry for every detected lick onset time, assigned the time of the corresponding visual stimulus frame." @@ -2211,8 +2846,24 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, + "execution_count": 18, + "id": "853bb2ef", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:06.561946Z", + "iopub.status.busy": "2022-12-14T00:21:06.560951Z", + "iopub.status.idle": "2022-12-14T00:21:06.575049Z", + "shell.execute_reply": "2022-12-14T00:21:06.574324Z" + }, + "papermill": { + "duration": 0.201218, + "end_time": "2022-12-14T00:21:06.576698", + "exception": false, + "start_time": "2022-12-14T00:21:06.375480", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -2241,29 +2892,29 @@ " \n", " \n", " \n", - " 871\n", - " 1173.788210\n", - " 70380\n", + " 779\n", + " 1049.904910\n", + " 62952\n", " \n", " \n", - " 2205\n", - " 2580.700469\n", - " 154738\n", + " 2567\n", + " 2836.405714\n", + " 170070\n", " \n", " \n", - " 691\n", - " 952.589523\n", - " 57117\n", + " 1685\n", + " 2058.482831\n", + " 123426\n", " \n", " \n", - " 2525\n", - " 2806.819128\n", - " 168296\n", + " 1906\n", + " 2313.721016\n", + " 138730\n", " \n", " \n", - " 3367\n", - " 4449.856814\n", - " 266812\n", + " 843\n", + " 1143.517806\n", + " 68565\n", " \n", " \n", "\n", @@ -2271,14 +2922,14 @@ ], "text/plain": [ " timestamps frame\n", - "871 1173.788210 70380\n", - "2205 2580.700469 154738\n", - "691 952.589523 57117\n", - "2525 2806.819128 168296\n", - "3367 4449.856814 266812" + "779 1049.904910 62952\n", + "2567 2836.405714 170070\n", + "1685 2058.482831 123426\n", + "1906 2313.721016 138730\n", + "843 1143.517806 68565" ] }, - "execution_count": 15, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -2289,7 +2940,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "51c4fcaa", + "metadata": { + "papermill": { + "duration": 0.134096, + "end_time": "2022-12-14T00:21:06.846209", + "exception": false, + "start_time": "2022-12-14T00:21:06.712113", + "status": "completed" + }, + "tags": [] + }, "source": [ "### rewards\n", "One entry for every reward that was delivered, assigned the time of the corresponding visual stimulus frame. `Autorewarded` is True if the reward was delivered without requiring a preceding lick." @@ -2297,8 +2958,24 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, + "execution_count": 19, + "id": "47edbecd", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:07.112407Z", + "iopub.status.busy": "2022-12-14T00:21:07.111555Z", + "iopub.status.idle": "2022-12-14T00:21:07.122718Z", + "shell.execute_reply": "2022-12-14T00:21:07.122113Z" + }, + "papermill": { + "duration": 0.146195, + "end_time": "2022-12-14T00:21:07.124282", + "exception": false, + "start_time": "2022-12-14T00:21:06.978087", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -2323,38 +3000,38 @@ " \n", " volume\n", " timestamps\n", - " autorewarded\n", + " auto_rewarded\n", " \n", " \n", " \n", " \n", - " 100\n", + " 134\n", " 0.007\n", - " 2041.578365\n", + " 3613.211155\n", " False\n", " \n", " \n", - " 29\n", + " 72\n", " 0.007\n", - " 813.631992\n", + " 2150.494634\n", " False\n", " \n", " \n", - " 6\n", + " 130\n", " 0.007\n", - " 401.736694\n", + " 3468.447174\n", " False\n", " \n", " \n", - " 24\n", + " 101\n", " 0.007\n", - " 720.820943\n", + " 2950.315610\n", " False\n", " \n", " \n", - " 25\n", + " 20\n", " 0.007\n", - " 761.721954\n", + " 791.214346\n", " False\n", " \n", " \n", @@ -2362,15 +3039,15 @@ "" ], "text/plain": [ - " volume timestamps autorewarded\n", - "100 0.007 2041.578365 False\n", - "29 0.007 813.631992 False\n", - "6 0.007 401.736694 False\n", - "24 0.007 720.820943 False\n", - "25 0.007 761.721954 False" + " volume timestamps auto_rewarded\n", + "134 0.007 3613.211155 False\n", + "72 0.007 2150.494634 False\n", + "130 0.007 3468.447174 False\n", + "101 0.007 2950.315610 False\n", + "20 0.007 791.214346 False" ] }, - "execution_count": 15, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2381,7 +3058,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "28da6b4e", + "metadata": { + "papermill": { + "duration": 0.13344, + "end_time": "2022-12-14T00:21:07.394238", + "exception": false, + "start_time": "2022-12-14T00:21:07.260798", + "status": "completed" + }, + "tags": [] + }, "source": [ "### running data\n", "One entry for each read of the analog input line monitoring the encoder voltage, polled at ~60 Hz" @@ -2389,8 +3076,24 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 20, + "id": "d533cd8e", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:07.663126Z", + "iopub.status.busy": "2022-12-14T00:21:07.662383Z", + "iopub.status.idle": "2022-12-14T00:21:07.671514Z", + "shell.execute_reply": "2022-12-14T00:21:07.670867Z" + }, + "papermill": { + "duration": 0.145929, + "end_time": "2022-12-14T00:21:07.673203", + "exception": false, + "start_time": "2022-12-14T00:21:07.527274", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -2421,42 +3124,42 @@ " \n", " 0\n", " 0.000000\n", - " 0.010719\n", + " 0.015420\n", " \n", " \n", " 1\n", - " 0.016554\n", - " -0.034077\n", + " 0.016199\n", + " 4.072436\n", " \n", " \n", " 2\n", - " 0.033231\n", - " -0.079193\n", + " 0.032890\n", + " 7.888294\n", " \n", " \n", " 3\n", - " 0.049912\n", - " -0.121338\n", + " 0.049588\n", + " 11.231527\n", " \n", " \n", " 4\n", - " 0.067623\n", - " -0.156735\n", + " 0.066925\n", + " 13.908257\n", " \n", " \n", "\n", "" ], "text/plain": [ - " timestamps speed\n", - "0 0.000000 0.010719\n", - "1 0.016554 -0.034077\n", - "2 0.033231 -0.079193\n", - "3 0.049912 -0.121338\n", - "4 0.067623 -0.156735" + " timestamps speed\n", + "0 0.000000 0.015420\n", + "1 0.016199 4.072436\n", + "2 0.032890 7.888294\n", + "3 0.049588 11.231527\n", + "4 0.066925 13.908257" ] }, - "execution_count": 16, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2467,22 +3170,58 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "99fbd519", + "metadata": { + "papermill": { + "duration": 0.13377, + "end_time": "2022-12-14T00:21:07.944487", + "exception": false, + "start_time": "2022-12-14T00:21:07.810717", + "status": "completed" + }, + "tags": [] + }, "source": [ "### we can make a simple plot where we combine together running, licking and stimuli" ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "1451597b", + "metadata": { + "papermill": { + "duration": 0.13331, + "end_time": "2022-12-14T00:21:08.211772", + "exception": false, + "start_time": "2022-12-14T00:21:08.078462", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### First, add a column to the stimulus_presentations table that assigns a unique color to every stimulus" ] }, { "cell_type": "code", - "execution_count": 24, - "metadata": {}, + "execution_count": 21, + "id": "91138ca3", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:08.479817Z", + "iopub.status.busy": "2022-12-14T00:21:08.479233Z", + "iopub.status.idle": "2022-12-14T00:21:08.496251Z", + "shell.execute_reply": "2022-12-14T00:21:08.495524Z" + }, + "papermill": { + "duration": 0.153711, + "end_time": "2022-12-14T00:21:08.498038", + "exception": false, + "start_time": "2022-12-14T00:21:08.344327", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "unique_stimuli = [stimulus for stimulus in dataset.stimulus_presentations['image_name'].unique()]\n", @@ -2492,15 +3231,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "e196d97e", + "metadata": { + "papermill": { + "duration": 0.132178, + "end_time": "2022-12-14T00:21:08.809858", + "exception": false, + "start_time": "2022-12-14T00:21:08.677680", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### now make some simple plotting functions to plot these datastreams" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, + "execution_count": 22, + "id": "4dc57491", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:09.078092Z", + "iopub.status.busy": "2022-12-14T00:21:09.077451Z", + "iopub.status.idle": "2022-12-14T00:21:09.089271Z", + "shell.execute_reply": "2022-12-14T00:21:09.088574Z" + }, + "papermill": { + "duration": 0.14795, + "end_time": "2022-12-14T00:21:09.090977", + "exception": false, + "start_time": "2022-12-14T00:21:08.943027", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "def plot_running(ax, initial_time, final_time):\n", @@ -2568,16 +3333,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "ca252172", + "metadata": { + "papermill": { + "duration": 0.13274, + "end_time": "2022-12-14T00:21:09.357180", + "exception": false, + "start_time": "2022-12-14T00:21:09.224440", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### now make the plot" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 23, + "id": "8841065a", "metadata": { - "scrolled": false + "execution": { + "iopub.execute_input": "2022-12-14T00:21:09.623083Z", + "iopub.status.busy": "2022-12-14T00:21:09.622396Z", + "iopub.status.idle": "2022-12-14T00:21:09.729580Z", + "shell.execute_reply": "2022-12-14T00:21:09.728978Z" + }, + "papermill": { + "duration": 0.242244, + "end_time": "2022-12-14T00:21:09.731298", + "exception": false, + "start_time": "2022-12-14T00:21:09.489054", + "status": "completed" + }, + "scrolled": false, + "tags": [] }, "outputs": [ { @@ -3566,7 +4356,7 @@ { "data": { "text/html": [ - "" + "
    " ], "text/plain": [ "" @@ -4561,7 +5351,7 @@ { "data": { "text/html": [ - "" + "
    " ], "text/plain": [ "" @@ -4592,14 +5382,34 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "2513e874", + "metadata": { + "papermill": { + "duration": 0.135989, + "end_time": "2022-12-14T00:21:10.014390", + "exception": false, + "start_time": "2022-12-14T00:21:09.878401", + "status": "completed" + }, + "tags": [] + }, "source": [ "Above, we can see that stimuli were being delivered at a regular cadence (250 ms on, 500 ms off). There were changes to new stimuli at t = 778.6 and t = 793.7, as indicated by the change in the color of the bars. The mouse licked inside of the required response window following both stimulus changes and received a reward coincident with the first lick following the change. The subsequent licks are likely a result of the mouse consuming the water reward. There was also a brief bout of two licks, likely representing impulsivity, at t = 786.9." ] }, { "cell_type": "markdown", - "metadata": {}, + "id": "ced53b36", + "metadata": { + "papermill": { + "duration": 0.134923, + "end_time": "2022-12-14T00:21:10.285808", + "exception": false, + "start_time": "2022-12-14T00:21:10.150885", + "status": "completed" + }, + "tags": [] + }, "source": [ "### trials\n", "We can view attributes of every trial here. Below is a random sample of 5 trials" @@ -4607,8 +5417,24 @@ }, { "cell_type": "code", - "execution_count": 39, - "metadata": {}, + "execution_count": 24, + "id": "647c08c2", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:10.611635Z", + "iopub.status.busy": "2022-12-14T00:21:10.611270Z", + "iopub.status.idle": "2022-12-14T00:21:10.634884Z", + "shell.execute_reply": "2022-12-14T00:21:10.634149Z" + }, + "papermill": { + "duration": 0.161772, + "end_time": "2022-12-14T00:21:10.637103", + "exception": false, + "start_time": "2022-12-14T00:21:10.475331", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -4680,11 +5506,11 @@ " \n", " \n", " \n", - " 534\n", - " 2713.389660\n", - " 2724.430433\n", - " [2720.7613205829402, 2721.061486430117, 2721.1...\n", - " 2720.761321\n", + " 28\n", + " 411.125538\n", + " 419.898146\n", + " [415.99547916301526, 416.0955821837997, 416.32...\n", + " 415.995479\n", " 0.007\n", " True\n", " False\n", @@ -4695,43 +5521,43 @@ " False\n", " False\n", " False\n", - " 11.040773\n", - " 2720.761321\n", - " 163100.0\n", - " 2720.182019\n", - " 0.579301\n", - " im066\n", - " im085\n", + " 8.772608\n", + " 415.995479\n", + " 24921.0\n", + " 415.649768\n", + " 0.345711\n", + " im077\n", + " im062\n", " \n", " \n", - " 154\n", - " 962.496140\n", - " 970.534928\n", - " [967.299401847762]\n", + " 201\n", + " 1205.792999\n", + " 1209.845721\n", + " [1209.1452645756071, 1209.3787741162814, 1209....\n", " NaN\n", " 0.000\n", " False\n", " False\n", " False\n", " False\n", + " True\n", " False\n", " False\n", - " True\n", " False\n", - " True\n", - " 8.038788\n", - " 967.299402\n", - " 57937.0\n", - " 966.286483\n", - " 1.012919\n", - " im077\n", - " im077\n", + " False\n", + " 4.052721\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " im062\n", + " im062\n", " \n", " \n", - " 341\n", - " 1913.485372\n", - " 1918.088494\n", - " [1917.6214574656915, 1917.7715836032294]\n", + " 450\n", + " 2491.774080\n", + " 2492.291079\n", + " [2491.790765304002, 2491.974194663577]\n", " NaN\n", " 0.000\n", " False\n", @@ -4743,43 +5569,43 @@ " False\n", " False\n", " False\n", - " 4.603122\n", + " 0.516999\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " im077\n", - " im077\n", + " im063\n", + " im063\n", " \n", " \n", - " 225\n", - " 1318.435434\n", - " 1322.588245\n", - " [1321.821011143853, 1322.0878457906656, 1322.2...\n", - " NaN\n", - " 0.000\n", - " False\n", - " False\n", + " 97\n", + " 769.433100\n", + " 776.754665\n", + " [772.8353312828112, 772.9521015658975, 773.202...\n", + " 772.835331\n", + " 0.007\n", + " True\n", " False\n", " False\n", " True\n", " False\n", + " True\n", " False\n", " False\n", " False\n", - " 4.152811\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " im062\n", + " 7.321565\n", + " 772.835331\n", + " 46317.0\n", + " 772.489602\n", + " 0.345729\n", " im062\n", + " im061\n", " \n", " \n", - " 432\n", - " 2370.058931\n", - " 2373.144351\n", - " [2372.677347698016, 2372.827426743461]\n", + " 490\n", + " 2597.678588\n", + " 2598.312340\n", + " [2597.811998279183, 2597.9954575560987, 2598.3...\n", " NaN\n", " 0.000\n", " False\n", @@ -4791,13 +5617,13 @@ " False\n", " False\n", " False\n", - " 3.085420\n", + " 0.633752\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " im085\n", - " im085\n", + " im069\n", + " im069\n", " \n", " \n", "\n", @@ -4806,54 +5632,54 @@ "text/plain": [ " start_time stop_time \\\n", "trials_id \n", - "534 2713.389660 2724.430433 \n", - "154 962.496140 970.534928 \n", - "341 1913.485372 1918.088494 \n", - "225 1318.435434 1322.588245 \n", - "432 2370.058931 2373.144351 \n", + "28 411.125538 419.898146 \n", + "201 1205.792999 1209.845721 \n", + "450 2491.774080 2492.291079 \n", + "97 769.433100 776.754665 \n", + "490 2597.678588 2598.312340 \n", "\n", " lick_times reward_time \\\n", "trials_id \n", - "534 [2720.7613205829402, 2721.061486430117, 2721.1... 2720.761321 \n", - "154 [967.299401847762] NaN \n", - "341 [1917.6214574656915, 1917.7715836032294] NaN \n", - "225 [1321.821011143853, 1322.0878457906656, 1322.2... NaN \n", - "432 [2372.677347698016, 2372.827426743461] NaN \n", + "28 [415.99547916301526, 416.0955821837997, 416.32... 415.995479 \n", + "201 [1209.1452645756071, 1209.3787741162814, 1209.... NaN \n", + "450 [2491.790765304002, 2491.974194663577] NaN \n", + "97 [772.8353312828112, 772.9521015658975, 773.202... 772.835331 \n", + "490 [2597.811998279183, 2597.9954575560987, 2598.3... NaN \n", "\n", " reward_volume hit false_alarm miss is_change aborted \\\n", "trials_id \n", - "534 0.007 True False False True False \n", - "154 0.000 False False False False False \n", - "341 0.000 False False False False True \n", - "225 0.000 False False False False True \n", - "432 0.000 False False False False True \n", + "28 0.007 True False False True False \n", + "201 0.000 False False False False True \n", + "450 0.000 False False False False True \n", + "97 0.007 True False False True False \n", + "490 0.000 False False False False True \n", "\n", " go catch auto_rewarded correct_reject trial_length \\\n", "trials_id \n", - "534 True False False False 11.040773 \n", - "154 False True False True 8.038788 \n", - "341 False False False False 4.603122 \n", - "225 False False False False 4.152811 \n", - "432 False False False False 3.085420 \n", + "28 True False False False 8.772608 \n", + "201 False False False False 4.052721 \n", + "450 False False False False 0.516999 \n", + "97 True False False False 7.321565 \n", + "490 False False False False 0.633752 \n", "\n", " response_time change_frame change_time response_latency \\\n", "trials_id \n", - "534 2720.761321 163100.0 2720.182019 0.579301 \n", - "154 967.299402 57937.0 966.286483 1.012919 \n", - "341 NaN NaN NaN NaN \n", - "225 NaN NaN NaN NaN \n", - "432 NaN NaN NaN NaN \n", + "28 415.995479 24921.0 415.649768 0.345711 \n", + "201 NaN NaN NaN NaN \n", + "450 NaN NaN NaN NaN \n", + "97 772.835331 46317.0 772.489602 0.345729 \n", + "490 NaN NaN NaN NaN \n", "\n", " initial_image_name change_image_name \n", "trials_id \n", - "534 im066 im085 \n", - "154 im077 im077 \n", - "341 im077 im077 \n", - "225 im062 im062 \n", - "432 im085 im085 " + "28 im077 im062 \n", + "201 im062 im062 \n", + "450 im063 im063 \n", + "97 im062 im061 \n", + "490 im069 im069 " ] }, - "execution_count": 39, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -4864,7 +5690,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "16905cd9", + "metadata": { + "papermill": { + "duration": 0.135032, + "end_time": "2022-12-14T00:21:10.908776", + "exception": false, + "start_time": "2022-12-14T00:21:10.773744", + "status": "completed" + }, + "tags": [] + }, "source": [ "#### we can examine one trial in some detail. Let's randomly select a hit trial. \n", "Some things to note:\n", @@ -4877,8 +5713,24 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": {}, + "execution_count": 25, + "id": "caa527ef", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:11.181865Z", + "iopub.status.busy": "2022-12-14T00:21:11.181171Z", + "iopub.status.idle": "2022-12-14T00:21:11.196903Z", + "shell.execute_reply": "2022-12-14T00:21:11.196301Z" + }, + "papermill": { + "duration": 0.155912, + "end_time": "2022-12-14T00:21:11.199529", + "exception": false, + "start_time": "2022-12-14T00:21:11.043617", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -4908,7 +5760,7 @@ " 'change_image_name': 'im077'}]" ] }, - "execution_count": 40, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -4919,15 +5771,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "807123e3", + "metadata": { + "papermill": { + "duration": 0.135091, + "end_time": "2022-12-14T00:21:11.470045", + "exception": false, + "start_time": "2022-12-14T00:21:11.334954", + "status": "completed" + }, + "tags": [] + }, "source": [ "## One useful method is the `get_performance_metrics` method, which returns some summary metrics on the session, derived from the 'rolling_performance_df'" ] }, { "cell_type": "code", - "execution_count": 41, - "metadata": {}, + "execution_count": 26, + "id": "7d0f5d72", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:11.745735Z", + "iopub.status.busy": "2022-12-14T00:21:11.744873Z", + "iopub.status.idle": "2022-12-14T00:21:12.639804Z", + "shell.execute_reply": "2022-12-14T00:21:12.639088Z" + }, + "papermill": { + "duration": 1.035674, + "end_time": "2022-12-14T00:21:12.641707", + "exception": false, + "start_time": "2022-12-14T00:21:11.606033", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -4945,19 +5823,19 @@ " 'total_reward_volume': 1.005,\n", " 'maximum_reward_rate': 4.075808888375142,\n", " 'engaged_trial_count': 592,\n", - " 'mean_hit_rate': 0.8502914507732704,\n", - " 'mean_hit_rate_uncorrected': 0.8566154925851169,\n", - " 'mean_hit_rate_engaged': 0.8501338035208221,\n", - " 'mean_false_alarm_rate': 0.4443704962837621,\n", - " 'mean_false_alarm_rate_uncorrected': 0.4367174350592722,\n", + " 'mean_hit_rate': 0.8502914507732698,\n", + " 'mean_hit_rate_uncorrected': 0.8566154925851164,\n", + " 'mean_hit_rate_engaged': 0.850133803520822,\n", + " 'mean_false_alarm_rate': 0.44437049628376163,\n", + " 'mean_false_alarm_rate_uncorrected': 0.4367174350592718,\n", " 'mean_false_alarm_rate_engaged': 0.44609689480379144,\n", - " 'mean_dprime': 1.1971098252194952,\n", - " 'mean_dprime_engaged': 1.193310233405481,\n", + " 'mean_dprime': 1.1971098252194956,\n", + " 'mean_dprime_engaged': 1.1933102334054815,\n", " 'max_dprime': 1.7904646832340632,\n", " 'max_dprime_engaged': 1.5810766796714655}" ] }, - "execution_count": 41, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -4968,7 +5846,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "70da6184", + "metadata": { + "papermill": { + "duration": 0.137405, + "end_time": "2022-12-14T00:21:12.918058", + "exception": false, + "start_time": "2022-12-14T00:21:12.780653", + "status": "completed" + }, + "tags": [] + }, "source": [ "## we can build out a new table that has all performance data for every session as follows:\n", "This might take a minute or so. The AllenSDK will be extracting the performance data from the NWB file for every session individually." @@ -4976,8 +5864,24 @@ }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, + "execution_count": 27, + "id": "febbf8b6", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:13.194043Z", + "iopub.status.busy": "2022-12-14T00:21:13.193198Z", + "iopub.status.idle": "2022-12-14T00:21:37.633193Z", + "shell.execute_reply": "2022-12-14T00:21:37.632446Z" + }, + "papermill": { + "duration": 24.579666, + "end_time": "2022-12-14T00:21:37.634868", + "exception": false, + "start_time": "2022-12-14T00:21:13.055202", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "behavior_performance_table = pd.DataFrame(\n", @@ -4987,8 +5891,24 @@ }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, + "execution_count": 28, + "id": "08670cce", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:37.954157Z", + "iopub.status.busy": "2022-12-14T00:21:37.953784Z", + "iopub.status.idle": "2022-12-14T00:21:37.972327Z", + "shell.execute_reply": "2022-12-14T00:21:37.971578Z" + }, + "papermill": { + "duration": 0.202357, + "end_time": "2022-12-14T00:21:37.974882", + "exception": false, + "start_time": "2022-12-14T00:21:37.772525", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -5229,7 +6149,7 @@ "834087859 1.129222 1.766182 2.850748 2.850748 " ] }, - "execution_count": 43, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -5240,15 +6160,41 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "4ca6eac5", + "metadata": { + "papermill": { + "duration": 0.135113, + "end_time": "2022-12-14T00:21:38.248215", + "exception": false, + "start_time": "2022-12-14T00:21:38.113102", + "status": "completed" + }, + "tags": [] + }, "source": [ "## for convenience, we should merge this with the existing table we built for this mouse" ] }, { "cell_type": "code", - "execution_count": 44, - "metadata": {}, + "execution_count": 29, + "id": "50232076", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:38.520716Z", + "iopub.status.busy": "2022-12-14T00:21:38.520019Z", + "iopub.status.idle": "2022-12-14T00:21:38.562647Z", + "shell.execute_reply": "2022-12-14T00:21:38.561883Z" + }, + "papermill": { + "duration": 0.182341, + "end_time": "2022-12-14T00:21:38.565505", + "exception": false, + "start_time": "2022-12-14T00:21:38.383164", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -5767,7 +6713,7 @@ "834087859 1.766182 2.850748 2.850748 " ] }, - "execution_count": 44, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -5783,7 +6729,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "id": "fac4dd45", + "metadata": { + "papermill": { + "duration": 0.134962, + "end_time": "2022-12-14T00:21:38.839069", + "exception": false, + "start_time": "2022-12-14T00:21:38.704107", + "status": "completed" + }, + "tags": [] + }, "source": [ "## Now we can plot the `max_dprime` value for every session\n", "We can see that this particular mouse performed relatively consistently for every session as it progressed through training." @@ -5791,8 +6747,24 @@ }, { "cell_type": "code", - "execution_count": 45, - "metadata": {}, + "execution_count": 30, + "id": "c9a1db3f", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-14T00:21:39.116139Z", + "iopub.status.busy": "2022-12-14T00:21:39.115312Z", + "iopub.status.idle": "2022-12-14T00:21:39.277112Z", + "shell.execute_reply": "2022-12-14T00:21:39.276358Z" + }, + "papermill": { + "duration": 0.303984, + "end_time": "2022-12-14T00:21:39.278966", + "exception": false, + "start_time": "2022-12-14T00:21:38.974982", + "status": "completed" + }, + "tags": [] + }, "outputs": [ { "data": { @@ -6780,7 +7752,7 @@ { "data": { "text/html": [ - "" + "
    " ], "text/plain": [ "" @@ -6816,7 +7788,17 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "id": "2f3440d5", + "metadata": { + "papermill": { + "duration": 0.136855, + "end_time": "2022-12-14T00:21:39.559351", + "exception": false, + "start_time": "2022-12-14T00:21:39.422496", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [] } @@ -6840,9 +7822,24 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.3" + "version": "3.8.15" + }, + "papermill": { + "default_parameters": {}, + "duration": 476.830946, + "end_time": "2022-12-14T00:21:41.270706", + "environment_variables": {}, + "exception": null, + "input_path": "doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb", + "output_path": "/tmp/tmp2emjscrv/scratch_nb.ipynb", + "parameters": { + "output_dir": "/tmp/tmp2emjscrv", + "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" + }, + "start_time": "2022-12-14T00:13:44.439760", + "version": "2.4.0" } }, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb old mode 100755 new mode 100644 index d82206e7c..87b82a3e6 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb @@ -4,9 +4,17 @@ "cell_type": "markdown", "id": "6eac13f8", "metadata": { + "papermill": { + "duration": 0.011203, + "end_time": "2022-12-13T22:04:35.902277", + "exception": false, + "start_time": "2022-12-13T22:04:35.891074", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "# Accessing Visual Behavior Neuropixels Data" @@ -16,9 +24,17 @@ "cell_type": "markdown", "id": "bf750919", "metadata": { + "papermill": { + "duration": 0.009324, + "end_time": "2022-12-13T22:04:35.921312", + "exception": false, + "start_time": "2022-12-13T22:04:35.911988", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Tutorial overview\n", @@ -34,9 +50,17 @@ "cell_type": "markdown", "id": "01a7f135", "metadata": { + "papermill": { + "duration": 0.009339, + "end_time": "2022-12-13T22:04:35.940180", + "exception": false, + "start_time": "2022-12-13T22:04:35.930841", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Options for data access\n", @@ -50,9 +74,17 @@ "cell_type": "markdown", "id": "04404969", "metadata": { + "papermill": { + "duration": 0.009295, + "end_time": "2022-12-13T22:04:35.958732", + "exception": false, + "start_time": "2022-12-13T22:04:35.949437", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Using the AllenSDK to retrieve data\n", @@ -76,9 +108,17 @@ "cell_type": "markdown", "id": "c9962815", "metadata": { + "papermill": { + "duration": 0.009346, + "end_time": "2022-12-13T22:04:35.977395", + "exception": false, + "start_time": "2022-12-13T22:04:35.968049", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Install AllenSDK into your local environment" @@ -88,9 +128,17 @@ "cell_type": "markdown", "id": "82546c42", "metadata": { + "papermill": { + "duration": 0.009282, + "end_time": "2022-12-13T22:04:35.995986", + "exception": false, + "start_time": "2022-12-13T22:04:35.986704", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "You can install AllenSDK with:" @@ -101,89 +149,102 @@ "execution_count": 1, "id": "7a03b5d1", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:36.016703Z", + "iopub.status.busy": "2022-12-13T22:04:36.016019Z", + "iopub.status.idle": "2022-12-13T22:04:38.654169Z", + "shell.execute_reply": "2022-12-13T22:04:38.652949Z" + }, + "papermill": { + "duration": 2.651416, + "end_time": "2022-12-13T22:04:38.656737", + "exception": false, + "start_time": "2022-12-13T22:04:36.005321", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: allensdk in c:\\users\\corbettb\\anaconda3\\envs\\allensdk_38\\lib\\site-packages (2.13.5)\n", - "Requirement already satisfied: boto3==1.17.21 in c:\\users\\corbettb\\anaconda3\\envs\\allensdk_38\\lib\\site-packages (from allensdk) (1.17.21)\n", - "Requirement already satisfied: pynwb in c:\\users\\corbettb\\anaconda3\\envs\\allensdk_38\\lib\\site-packages (from allensdk) (2.1.0)\n", - "Requirement already satisfied: nest-asyncio in c:\\users\\corbettb\\anaconda3\\envs\\allensdk_38\\lib\\site-packages (from allensdk) (1.5.5)\n", - "Requirement already satisfied: 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"Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", + "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] } ], @@ -195,9 +256,17 @@ "cell_type": "markdown", "id": "ee59e9f7", "metadata": { + "papermill": { + "duration": 0.010277, + "end_time": "2022-12-13T22:04:38.677865", + "exception": false, + "start_time": "2022-12-13T22:04:38.667588", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Install AllenSDK into your notebook environment (good for Google Colab)" @@ -207,9 +276,17 @@ "cell_type": "markdown", "id": "5ec0e747", "metadata": { + "papermill": { + "duration": 0.009982, + "end_time": "2022-12-13T22:04:38.697896", + "exception": false, + "start_time": "2022-12-13T22:04:38.687914", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "You can install AllenSDK into your notebook environment by executing the cell below.\n", @@ -220,14 +297,109 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "5a360236", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:38.719868Z", + "iopub.status.busy": "2022-12-13T22:04:38.719273Z", + "iopub.status.idle": "2022-12-13T22:04:43.122800Z", + "shell.execute_reply": "2022-12-13T22:04:43.121388Z" + }, + "papermill": { + "duration": 4.417864, + "end_time": "2022-12-13T22:04:43.125773", + "exception": false, + "start_time": "2022-12-13T22:04:38.707909", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", + "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + 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/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", + "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" + ] + } + ], "source": [ "!pip install --upgrade pip\n", "!pip install allensdk" @@ -237,9 +409,17 @@ "cell_type": "markdown", "id": "a504e881", "metadata": { + "papermill": { + "duration": 0.014016, + "end_time": "2022-12-13T22:04:43.154721", + "exception": false, + "start_time": "2022-12-13T22:04:43.140705", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Import required packages" @@ -247,14 +427,36 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "6b741021", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:43.184905Z", + "iopub.status.busy": "2022-12-13T22:04:43.183937Z", + "iopub.status.idle": "2022-12-13T22:04:48.590073Z", + "shell.execute_reply": "2022-12-13T22:04:48.589332Z" + }, + "papermill": { + "duration": 5.423899, + "end_time": "2022-12-13T22:04:48.591862", + "exception": false, + "start_time": "2022-12-13T22:04:43.167963", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -278,9 +480,17 @@ "cell_type": "markdown", "id": "4201d911", "metadata": { + "papermill": { + "duration": 0.01099, + "end_time": "2022-12-13T22:04:48.614314", + "exception": false, + "start_time": "2022-12-13T22:04:48.603324", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Next, we'll specify the directory where you'd like downloaded data to be stored (cache_dir). Remember to choose a location that has plenty of free space available." @@ -288,9 +498,22 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "6df5a6a9", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:48.638141Z", + "iopub.status.busy": "2022-12-13T22:04:48.637292Z", + "iopub.status.idle": "2022-12-13T22:04:48.641436Z", + "shell.execute_reply": "2022-12-13T22:04:48.640675Z" + }, + "papermill": { + "duration": 0.017887, + "end_time": "2022-12-13T22:04:48.643101", + "exception": false, + "start_time": "2022-12-13T22:04:48.625214", + "status": "completed" + }, "pycharm": { "name": "#%%\n" }, @@ -307,14 +530,52 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "id": "76e86ff5", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:48.694524Z", + "iopub.status.busy": "2022-12-13T22:04:48.693886Z", + "iopub.status.idle": "2022-12-13T22:04:58.998393Z", + "shell.execute_reply": "2022-12-13T22:04:58.997607Z" + }, + "papermill": { + "duration": 10.31915, + "end_time": "2022-12-13T22:04:59.000815", + "exception": false, + "start_time": "2022-12-13T22:04:48.681665", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "\n", + "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", + "\n", + "to avoid needlessly downloading duplicates of data files that did not change between data releases. NOTE: running this method will require hashing every data file you have currently downloaded and could be very time consuming.\n", + "\n", + "To avoid this warning in the future, make sure that\n", + "\n", + "/tmp/tmpcdrogsyf/_downloaded_data.json\n", + "\n", + "is not deleted between instantiations of this cache\n", + " warnings.warn(msg, MissingLocalManifestWarning)\n", + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 555kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.62MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:05<00:00, 25.1MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 990kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:00<00:00, 28.3MMB/s]\n" + ] + } + ], "source": [ "output_dir = Path(output_dir)\n", "cache = VisualBehaviorNeuropixelsProjectCache.from_s3_cache(cache_dir=output_dir)" @@ -324,9 +585,17 @@ "cell_type": "markdown", "id": "8827f014", "metadata": { + "papermill": { + "duration": 0.014578, + "end_time": "2022-12-13T22:04:59.030440", + "exception": false, + "start_time": "2022-12-13T22:04:59.015862", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Instantiating the cache will have it to download 5 project metadata files:\n", @@ -346,9 +615,17 @@ "cell_type": "markdown", "id": "ae48a02c", "metadata": { + "papermill": { + "duration": 0.014068, + "end_time": "2022-12-13T22:04:59.058835", + "exception": false, + "start_time": "2022-12-13T22:04:59.044767", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "### Managing versions of the dataset\n", @@ -362,9 +639,17 @@ "cell_type": "markdown", "id": "1a9df3a1", "metadata": { + "papermill": { + "duration": 0.01409, + "end_time": "2022-12-13T22:04:59.086973", + "exception": false, + "start_time": "2022-12-13T22:04:59.072883", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Discovering manifests\n", @@ -374,12 +659,26 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "e9043603", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.117495Z", + "iopub.status.busy": "2022-12-13T22:04:59.116566Z", + "iopub.status.idle": "2022-12-13T22:04:59.122788Z", + "shell.execute_reply": "2022-12-13T22:04:59.122174Z" + }, + "papermill": { + "duration": 0.023264, + "end_time": "2022-12-13T22:04:59.124289", + "exception": false, + "start_time": "2022-12-13T22:04:59.101025", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -391,7 +690,7 @@ " 'visual-behavior-neuropixels_project_manifest_v0.4.0.json']" ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -404,9 +703,17 @@ "cell_type": "markdown", "id": "2ba3f1b8", "metadata": { + "papermill": { + "duration": 0.014333, + "end_time": "2022-12-13T22:04:59.153108", + "exception": false, + "start_time": "2022-12-13T22:04:59.138775", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "To see the most up-to-date available manifest, run" @@ -414,12 +721,26 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "5613bef1", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.183800Z", + "iopub.status.busy": "2022-12-13T22:04:59.183134Z", + "iopub.status.idle": "2022-12-13T22:04:59.188214Z", + "shell.execute_reply": "2022-12-13T22:04:59.187676Z" + }, + "papermill": { + "duration": 0.022369, + "end_time": "2022-12-13T22:04:59.189742", + "exception": false, + "start_time": "2022-12-13T22:04:59.167373", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -428,7 +749,7 @@ "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -441,9 +762,17 @@ "cell_type": "markdown", "id": "3a0d6d99", "metadata": { + "papermill": { + "duration": 0.014491, + "end_time": "2022-12-13T22:04:59.218842", + "exception": false, + "start_time": "2022-12-13T22:04:59.204351", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "To see the name of the most up-to-date manifest that you have already downloaded to your system run (note: this just means that the manifest file has been downloaded; it does not necessarily mean that any data has been downloaded)" @@ -451,12 +780,26 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "7283cb73", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.249923Z", + "iopub.status.busy": "2022-12-13T22:04:59.249260Z", + "iopub.status.idle": "2022-12-13T22:04:59.254760Z", + "shell.execute_reply": "2022-12-13T22:04:59.254021Z" + }, + "papermill": { + "duration": 0.023112, + "end_time": "2022-12-13T22:04:59.256426", + "exception": false, + "start_time": "2022-12-13T22:04:59.233314", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -465,7 +808,7 @@ "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -478,9 +821,17 @@ "cell_type": "markdown", "id": "ef88f02d", "metadata": { + "papermill": { + "duration": 0.014652, + "end_time": "2022-12-13T22:04:59.286092", + "exception": false, + "start_time": "2022-12-13T22:04:59.271440", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "You can list all of the manifest files currently downloaded to your system with" @@ -488,23 +839,35 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "04b4fb64", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.317648Z", + "iopub.status.busy": "2022-12-13T22:04:59.316952Z", + "iopub.status.idle": "2022-12-13T22:04:59.322334Z", + "shell.execute_reply": "2022-12-13T22:04:59.321638Z" + }, + "papermill": { + "duration": 0.023222, + "end_time": "2022-12-13T22:04:59.323961", + "exception": false, + "start_time": "2022-12-13T22:04:59.300739", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { "text/plain": [ - "['visual-behavior-neuropixels_project_manifest_v0.1.0.json',\n", - " 'visual-behavior-neuropixels_project_manifest_v0.2.0.json',\n", - " 'visual-behavior-neuropixels_project_manifest_v0.4.0.json']" + "['visual-behavior-neuropixels_project_manifest_v0.4.0.json']" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -517,9 +880,17 @@ "cell_type": "markdown", "id": "a7c54c94", "metadata": { + "papermill": { + "duration": 0.014869, + "end_time": "2022-12-13T22:04:59.353821", + "exception": false, + "start_time": "2022-12-13T22:04:59.338952", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Loading manifests/dataset versions\n", @@ -535,12 +906,26 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "fb97e162", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.385837Z", + "iopub.status.busy": "2022-12-13T22:04:59.385020Z", + "iopub.status.idle": "2022-12-13T22:04:59.390368Z", + "shell.execute_reply": "2022-12-13T22:04:59.389649Z" + }, + "papermill": { + "duration": 0.023272, + "end_time": "2022-12-13T22:04:59.391972", + "exception": false, + "start_time": "2022-12-13T22:04:59.368700", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -549,7 +934,7 @@ "'visual-behavior-neuropixels_project_manifest_v0.4.0.json'" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -562,9 +947,17 @@ "cell_type": "markdown", "id": "e622264b", "metadata": { + "papermill": { + "duration": 0.015199, + "end_time": "2022-12-13T22:04:59.422551", + "exception": false, + "start_time": "2022-12-13T22:04:59.407352", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "To load a particular data manifest by hand, run (note: because we are intentionally loading an out-of-date manifest, this will emit a warning alerting us to the existence of the most up-to-date manifest)" @@ -572,19 +965,33 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "ac47867c", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:04:59.457046Z", + "iopub.status.busy": "2022-12-13T22:04:59.456471Z", + "iopub.status.idle": "2022-12-13T22:05:06.519434Z", + "shell.execute_reply": "2022-12-13T22:05:06.518648Z" + }, + "papermill": { + "duration": 7.084227, + "end_time": "2022-12-13T22:05:06.521947", + "exception": false, + "start_time": "2022-12-13T22:04:59.437720", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/opt/anaconda3/lib/python3.8/site-packages/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", "\n", "The manifest file you are loading is not the most up to date manifest file available for this dataset. The most up to data manifest file available for this dataset is \n", "\n", @@ -603,7 +1010,11 @@ "self.load_latest_manifest()\n", "\n", "\n", - " warnings.warn(msg, OutdatedManifestWarning)\n" + " warnings.warn(msg, OutdatedManifestWarning)\n", + "ecephys_sessions.csv: 100%|██████████| 63.5k/63.5k [00:00<00:00, 472kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 531k/531k [00:00<00:00, 3.39MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:04<00:00, 30.1MMB/s]\n", + "probes.csv: 100%|██████████| 127k/127k [00:00<00:00, 791kMB/s] \n" ] } ], @@ -613,12 +1024,26 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "28d01735", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:06.559940Z", + "iopub.status.busy": "2022-12-13T22:05:06.559219Z", + "iopub.status.idle": "2022-12-13T22:05:06.564776Z", + "shell.execute_reply": "2022-12-13T22:05:06.563953Z" + }, + "papermill": { + "duration": 0.026577, + "end_time": "2022-12-13T22:05:06.566651", + "exception": false, + "start_time": "2022-12-13T22:05:06.540074", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -627,7 +1052,7 @@ "'visual-behavior-neuropixels_project_manifest_v0.2.0.json'" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -640,9 +1065,17 @@ "cell_type": "markdown", "id": "b77392c7", "metadata": { + "papermill": { + "duration": 0.017453, + "end_time": "2022-12-13T22:05:06.602166", + "exception": false, + "start_time": "2022-12-13T22:05:06.584713", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "As the earlier warning informed us, we can see the difference between an two versions of the dataset by running" @@ -650,12 +1083,26 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "id": "75ff8702", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:06.638980Z", + "iopub.status.busy": "2022-12-13T22:05:06.638287Z", + "iopub.status.idle": "2022-12-13T22:05:06.760491Z", + "shell.execute_reply": "2022-12-13T22:05:06.759644Z" + }, + "papermill": { + "duration": 0.143088, + "end_time": "2022-12-13T22:05:06.762562", + "exception": false, + "start_time": "2022-12-13T22:05:06.619474", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -684,9 +1131,17 @@ "cell_type": "markdown", "id": "4e77a447", "metadata": { + "papermill": { + "duration": 0.017348, + "end_time": "2022-12-13T22:05:06.797824", + "exception": false, + "start_time": "2022-12-13T22:05:06.780476", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The `VisualBehaviorNeuropixelsProjectCache` is smart enough to know that, if a file has not changed between version `A` and version `B` of the dataset, and you have already downloaded the file while version `A` of the manifest was loaded, when you move to version `B`, it does not need to download the data again. It will simply construct a symlink where version `B` of the data should exist on your system, pointing to version `A` of the file." @@ -696,9 +1151,17 @@ "cell_type": "markdown", "id": "76730971", "metadata": { + "papermill": { + "duration": 0.017215, + "end_time": "2022-12-13T22:05:06.832327", + "exception": false, + "start_time": "2022-12-13T22:05:06.815112", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "### Using the AllenSDK to access Visual Behavior Neuropixels metadata" @@ -706,9 +1169,24 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "2b11b6f5", - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:06.869046Z", + "iopub.status.busy": "2022-12-13T22:05:06.868275Z", + "iopub.status.idle": "2022-12-13T22:05:08.585854Z", + "shell.execute_reply": "2022-12-13T22:05:08.585017Z" + }, + "papermill": { + "duration": 1.738916, + "end_time": "2022-12-13T22:05:08.588546", + "exception": false, + "start_time": "2022-12-13T22:05:06.849630", + "status": "completed" + }, + "tags": [] + }, "outputs": [], "source": [ "# Load latest manifest\n", @@ -719,9 +1197,17 @@ "cell_type": "markdown", "id": "35d495f1", "metadata": { + "papermill": { + "duration": 0.017747, + "end_time": "2022-12-13T22:05:08.624539", + "exception": false, + "start_time": "2022-12-13T22:05:08.606792", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Ecephys sessions table\n", @@ -731,12 +1217,26 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "id": "c7fc8312", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:08.661580Z", + "iopub.status.busy": "2022-12-13T22:05:08.660903Z", + "iopub.status.idle": "2022-12-13T22:05:08.686719Z", + "shell.execute_reply": "2022-12-13T22:05:08.685956Z" + }, + "papermill": { + "duration": 0.046298, + "end_time": "2022-12-13T22:05:08.688376", + "exception": false, + "start_time": "2022-12-13T22:05:08.642078", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -816,113 +1316,113 @@ " \n", " \n", " \n", - " 1052342277\n", - " 1052374521\n", - " 2020-09-23 15:34:18.179\n", + " 1044385384\n", + " 1044408432\n", + " 2020-08-19 14:47:08.574000+00:00\n", " NP.1\n", - " EPHYS_1_images_G_3uL_reward\n", - " 530862\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " M\n", + " EPHYS_1_images_G_5uL_reward\n", + " 524761\n", + " wt/wt\n", + " F\n", " NeuropixelVisualBehavior\n", - " 148\n", - " 1696.0\n", + " 151\n", + " 2179.0\n", " ...\n", - " 2304.0\n", - " ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg...\n", + " 1920.0\n", + " ['CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg', 'LGv...\n", " G\n", - " 32.0\n", + " 30.0\n", " 1\n", " Familiar\n", - " 0.0\n", " 0\n", + " 870\n", " NaN\n", " NaN\n", " \n", " \n", - " 1051155866\n", - " 1052162536\n", - " 2020-09-17 15:05:39.665\n", + " 1044594870\n", + " 1044624428\n", + " 2020-08-20 15:03:56.422000+00:00\n", " NP.1\n", - " EPHYS_1_images_H_3uL_reward\n", - " 524760\n", + " EPHYS_1_images_H_5uL_reward\n", + " 524761\n", " wt/wt\n", " F\n", " NeuropixelVisualBehavior\n", - " 180\n", - " 1922.0\n", + " 152\n", + " 2103.0\n", " ...\n", - " 2304.0\n", - " ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg...\n", + " 1920.0\n", + " ['CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg', 'HPF...\n", " H\n", " 0.0\n", " 2\n", " Novel\n", - " 1.0\n", " 1\n", + " 872\n", " NaN\n", " NaN\n", " \n", " \n", - " 1052533639\n", - " 1052572359\n", - " 2020-09-24 15:12:13.229\n", + " 1047969464\n", + " 1048005547\n", + " 2020-09-02 14:53:14.347000+00:00\n", " NP.1\n", - " EPHYS_1_images_H_3uL_reward\n", - " 530862\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", + " EPHYS_1_images_G_3uL_reward\n", + " 509808\n", + " Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", " M\n", " NeuropixelVisualBehavior\n", - " 149\n", - " 1677.0\n", + " 263\n", + " 2438.0\n", " ...\n", " 2304.0\n", " ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg...\n", - " H\n", - " 0.0\n", - " 2\n", - " Novel\n", - " 1.0\n", - " 4\n", + " G\n", + " 62.0\n", + " 1\n", + " Familiar\n", + " 0\n", + " 877\n", " NaN\n", " NaN\n", " \n", " \n", - " 1053925378\n", - " 1053960984\n", - " 2020-10-01 16:07:18.990\n", + " 1047977240\n", + " 1048009327\n", + " 2020-09-02 15:15:03.733000+00:00\n", " NP.0\n", - " EPHYS_1_images_H_3uL_reward\n", - " 532246\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " M\n", + " EPHYS_1_images_G_3uL_reward\n", + " 524925\n", + " Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", + " F\n", " NeuropixelVisualBehavior\n", - " 145\n", - " 1823.0\n", + " 165\n", + " 1856.0\n", " ...\n", " 2304.0\n", " ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg...\n", - " H\n", - " 0.0\n", - " 2\n", - " Novel\n", - " 1.0\n", - " 5\n", + " G\n", + " 51.0\n", + " 1\n", + " Familiar\n", + " 0\n", + " 878\n", " NaN\n", " NaN\n", " \n", " \n", - " 1053941483\n", - " 1053960987\n", - " 2020-10-01 17:03:58.362\n", + " 1048189115\n", + " 1048221709\n", + " 2020-09-03 14:16:57.913000+00:00\n", " NP.1\n", " EPHYS_1_images_H_3uL_reward\n", - " 527749\n", + " 509808\n", " Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", " M\n", " NeuropixelVisualBehavior\n", - " 180\n", - " 1543.0\n", + " 264\n", + " 1925.0\n", " ...\n", " 2304.0\n", " ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg...\n", @@ -930,8 +1430,8 @@ " 0.0\n", " 2\n", " Novel\n", - " 1.0\n", - " 6\n", + " 1\n", + " 879\n", " NaN\n", " NaN\n", " \n", @@ -941,82 +1441,82 @@ "" ], "text/plain": [ - " behavior_session_id date_of_acquisition \\\n", - "ecephys_session_id \n", - "1052342277 1052374521 2020-09-23 15:34:18.179 \n", - "1051155866 1052162536 2020-09-17 15:05:39.665 \n", - "1052533639 1052572359 2020-09-24 15:12:13.229 \n", - "1053925378 1053960984 2020-10-01 16:07:18.990 \n", - "1053941483 1053960987 2020-10-01 17:03:58.362 \n", + " behavior_session_id date_of_acquisition \\\n", + "ecephys_session_id \n", + "1044385384 1044408432 2020-08-19 14:47:08.574000+00:00 \n", + "1044594870 1044624428 2020-08-20 15:03:56.422000+00:00 \n", + "1047969464 1048005547 2020-09-02 14:53:14.347000+00:00 \n", + "1047977240 1048009327 2020-09-02 15:15:03.733000+00:00 \n", + "1048189115 1048221709 2020-09-03 14:16:57.913000+00:00 \n", "\n", " equipment_name session_type mouse_id \\\n", "ecephys_session_id \n", - "1052342277 NP.1 EPHYS_1_images_G_3uL_reward 530862 \n", - "1051155866 NP.1 EPHYS_1_images_H_3uL_reward 524760 \n", - "1052533639 NP.1 EPHYS_1_images_H_3uL_reward 530862 \n", - "1053925378 NP.0 EPHYS_1_images_H_3uL_reward 532246 \n", - "1053941483 NP.1 EPHYS_1_images_H_3uL_reward 527749 \n", + "1044385384 NP.1 EPHYS_1_images_G_5uL_reward 524761 \n", + "1044594870 NP.1 EPHYS_1_images_H_5uL_reward 524761 \n", + "1047969464 NP.1 EPHYS_1_images_G_3uL_reward 509808 \n", + "1047977240 NP.0 EPHYS_1_images_G_3uL_reward 524925 \n", + "1048189115 NP.1 EPHYS_1_images_H_3uL_reward 509808 \n", "\n", " genotype sex \\\n", "ecephys_session_id \n", - "1052342277 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", - "1051155866 wt/wt F \n", - "1052533639 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", - "1053925378 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", - "1053941483 Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", + "1044385384 wt/wt F \n", + "1044594870 wt/wt F \n", + "1047969464 Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", + "1047977240 Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt F \n", + "1048189115 Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt M \n", "\n", " project_code age_in_days unit_count ... \\\n", "ecephys_session_id ... \n", - "1052342277 NeuropixelVisualBehavior 148 1696.0 ... \n", - "1051155866 NeuropixelVisualBehavior 180 1922.0 ... \n", - "1052533639 NeuropixelVisualBehavior 149 1677.0 ... \n", - "1053925378 NeuropixelVisualBehavior 145 1823.0 ... \n", - "1053941483 NeuropixelVisualBehavior 180 1543.0 ... \n", + "1044385384 NeuropixelVisualBehavior 151 2179.0 ... \n", + "1044594870 NeuropixelVisualBehavior 152 2103.0 ... \n", + "1047969464 NeuropixelVisualBehavior 263 2438.0 ... \n", + "1047977240 NeuropixelVisualBehavior 165 1856.0 ... \n", + "1048189115 NeuropixelVisualBehavior 264 1925.0 ... \n", "\n", " channel_count \\\n", "ecephys_session_id \n", - "1052342277 2304.0 \n", - "1051155866 2304.0 \n", - "1052533639 2304.0 \n", - "1053925378 2304.0 \n", - "1053941483 2304.0 \n", + "1044385384 1920.0 \n", + "1044594870 1920.0 \n", + "1047969464 2304.0 \n", + "1047977240 2304.0 \n", + "1048189115 2304.0 \n", "\n", " structure_acronyms \\\n", "ecephys_session_id \n", - "1052342277 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", - "1051155866 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", - "1052533639 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", - "1053925378 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", - "1053941483 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", + "1044385384 ['CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg', 'LGv... \n", + "1044594870 ['CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg', 'HPF... \n", + "1047969464 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", + "1047977240 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", + "1048189115 ['APN', 'CA1', 'CA3', 'DG-mo', 'DG-po', 'DG-sg... \n", "\n", " image_set prior_exposures_to_image_set session_number \\\n", "ecephys_session_id \n", - "1052342277 G 32.0 1 \n", - "1051155866 H 0.0 2 \n", - "1052533639 H 0.0 2 \n", - "1053925378 H 0.0 2 \n", - "1053941483 H 0.0 2 \n", + "1044385384 G 30.0 1 \n", + "1044594870 H 0.0 2 \n", + "1047969464 G 62.0 1 \n", + "1047977240 G 51.0 1 \n", + "1048189115 H 0.0 2 \n", "\n", " experience_level prior_exposures_to_omissions file_id \\\n", "ecephys_session_id \n", - "1052342277 Familiar 0.0 0 \n", - "1051155866 Novel 1.0 1 \n", - "1052533639 Novel 1.0 4 \n", - "1053925378 Novel 1.0 5 \n", - "1053941483 Novel 1.0 6 \n", + "1044385384 Familiar 0 870 \n", + "1044594870 Novel 1 872 \n", + "1047969464 Familiar 0 877 \n", + "1047977240 Familiar 0 878 \n", + "1048189115 Novel 1 879 \n", "\n", " abnormal_histology abnormal_activity \n", "ecephys_session_id \n", - "1052342277 NaN NaN \n", - "1051155866 NaN NaN \n", - "1052533639 NaN NaN \n", - "1053925378 NaN NaN \n", - "1053941483 NaN NaN \n", + "1044385384 NaN NaN \n", + "1044594870 NaN NaN \n", + "1047969464 NaN NaN \n", + "1047977240 NaN NaN \n", + "1048189115 NaN NaN \n", "\n", "[5 rows x 21 columns]" ] }, - "execution_count": 7, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1033,9 +1533,17 @@ "cell_type": "markdown", "id": "175e5d34", "metadata": { + "papermill": { + "duration": 0.018421, + "end_time": "2022-12-13T22:05:08.725526", + "exception": false, + "start_time": "2022-12-13T22:05:08.707105", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "The `ecephys_session_table` DataFrame provides a high-level overview for ecephys sessions in the Visual Behavior Neurpoixels dataset. The index column (ecephys_session_id) is a unique ID, which serves as a key for access behavior data for each session. To get additional information about this data table (and other tables) please visit [this example notebook](https://allensdk.readthedocs.io/en/latest/_static/examples/nb/visual_behavior_neuropixels_quickstart.html).\n", @@ -1047,9 +1555,17 @@ "cell_type": "markdown", "id": "51807dc7", "metadata": { + "papermill": { + "duration": 0.018671, + "end_time": "2022-12-13T22:05:08.762949", + "exception": false, + "start_time": "2022-12-13T22:05:08.744278", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Behavior sessions table\n", @@ -1059,12 +1575,26 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "id": "4428bda5", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:08.802649Z", + "iopub.status.busy": "2022-12-13T22:05:08.802017Z", + "iopub.status.idle": "2022-12-13T22:05:08.817540Z", + "shell.execute_reply": "2022-12-13T22:05:08.816891Z" + }, + "papermill": { + "duration": 0.037521, + "end_time": "2022-12-13T22:05:08.819398", + "exception": false, + "start_time": "2022-12-13T22:05:08.781877", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -1108,6 +1638,7 @@ " date_of_acquisition\n", " session_type\n", " image_set\n", + " file_id\n", " \n", " \n", " behavior_session_id\n", @@ -1124,88 +1655,94 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", " \n", - " 1051333618\n", - " BEH.G-Box2\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " 540536\n", - " M\n", - " 85\n", - " 1\n", + " 1055198750\n", + " NP.1\n", + " wt/wt\n", + " 531237\n", + " F\n", + " 158\n", + " 45\n", + " 5\n", + " 38.0\n", " 0\n", - " NaN\n", - " 0.0\n", - " NaN\n", - " 2020-09-18 10:02:30.869000\n", - " TRAINING_0_gratings_autorewards_15min_0uL_reward\n", - " NaN\n", + " 1.055182e+09\n", + " 2020-10-07 09:40:30.407000+00:00\n", + " HABITUATION_5_images_G_handoff_ready_3uL_reward\n", + " G\n", + " 1022\n", " \n", " \n", - " 1052301754\n", - " BEH.G-Box2\n", + " 1052162513\n", + " NP.1\n", " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " 540536\n", + " 530862\n", " M\n", - " 90\n", - " 4\n", + " 143\n", + " 41\n", " 2\n", - " NaN\n", - " 0.0\n", - " NaN\n", - " 2020-09-23 09:43:25.595000\n", - " TRAINING_1_gratings_10uL_reward\n", - " NaN\n", + " 29.0\n", + " 0\n", + " 1.051331e+09\n", + " 2020-09-18 10:18:25.503000+00:00\n", + " HABITUATION_5_images_G_handoff_ready_3uL_reward\n", + " G\n", + " 1023\n", " \n", " \n", - " 1052374521\n", + " 1056100734\n", " NP.1\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " 530862\n", - " M\n", - " 148\n", - " 44\n", + " wt/wt\n", + " 531237\n", + " F\n", + " 163\n", + " 48\n", + " 8\n", + " 41.0\n", " 0\n", - " 32.0\n", - " 0.0\n", - " 1.052342e+09\n", - " 2020-09-23 15:34:18.179000\n", - " EPHYS_1_images_G_3uL_reward\n", + " 1.056090e+09\n", + " 2020-10-12 12:31:57.133000+00:00\n", + " HABITUATION_5_images_G_handoff_ready_3uL_reward\n", " G\n", + " 1024\n", " \n", " \n", - " 1051860415\n", - " BEH.G-Box4\n", + " 1055397049\n", + " NP.1\n", " wt/wt\n", - " 533539\n", + " 531237\n", " F\n", - " 127\n", - " 9\n", + " 159\n", + " 46\n", + " 6\n", + " 39.0\n", " 0\n", - " 3.0\n", - " 0.0\n", - " NaN\n", - " 2020-09-21 09:57:23.650000\n", - " TRAINING_4_images_G_training_7uL_reward\n", + " 1.055387e+09\n", + " 2020-10-08 10:46:16.623000+00:00\n", + " HABITUATION_5_images_G_handoff_ready_3uL_reward\n", " G\n", + " 1025\n", " \n", " \n", - " 1052132182\n", - " BEH.F-Box5\n", - " Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt\n", - " 536480\n", + " 1052162543\n", + " NP.1\n", + " wt/wt\n", + " 533537\n", " M\n", - " 112\n", - " 8\n", - " 1\n", - " 1.0\n", - " 0.0\n", - " NaN\n", - " 2020-09-22 12:04:46.304000\n", - " TRAINING_3_images_G_10uL_reward\n", + " 128\n", + " 30\n", + " 0\n", + " 23.0\n", + " 0\n", + " 1.052096e+09\n", + " 2020-09-22 10:54:33.351000+00:00\n", + " HABITUATION_5_images_G_handoff_ready_5uL_reward\n", " G\n", + " 1026\n", " \n", " \n", "\n", @@ -1214,78 +1751,78 @@ "text/plain": [ " equipment_name \\\n", "behavior_session_id \n", - "1051333618 BEH.G-Box2 \n", - "1052301754 BEH.G-Box2 \n", - "1052374521 NP.1 \n", - "1051860415 BEH.G-Box4 \n", - "1052132182 BEH.F-Box5 \n", + "1055198750 NP.1 \n", + "1052162513 NP.1 \n", + "1056100734 NP.1 \n", + "1055397049 NP.1 \n", + "1052162543 NP.1 \n", "\n", " genotype mouse_id \\\n", "behavior_session_id \n", - "1051333618 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 540536 \n", - "1052301754 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 540536 \n", - "1052374521 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 530862 \n", - "1051860415 wt/wt 533539 \n", - "1052132182 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 536480 \n", + "1055198750 wt/wt 531237 \n", + "1052162513 Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 530862 \n", + "1056100734 wt/wt 531237 \n", + "1055397049 wt/wt 531237 \n", + "1052162543 wt/wt 533537 \n", "\n", " sex age_in_days session_number \\\n", "behavior_session_id \n", - "1051333618 M 85 1 \n", - "1052301754 M 90 4 \n", - "1052374521 M 148 44 \n", - "1051860415 F 127 9 \n", - "1052132182 M 112 8 \n", + "1055198750 F 158 45 \n", + "1052162513 M 143 41 \n", + "1056100734 F 163 48 \n", + "1055397049 F 159 46 \n", + "1052162543 M 128 30 \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "1051333618 0 \n", - "1052301754 2 \n", - "1052374521 0 \n", - "1051860415 0 \n", - "1052132182 1 \n", + "1055198750 5 \n", + "1052162513 2 \n", + "1056100734 8 \n", + "1055397049 6 \n", + "1052162543 0 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "1051333618 NaN \n", - "1052301754 NaN \n", - "1052374521 32.0 \n", - "1051860415 3.0 \n", - "1052132182 1.0 \n", + "1055198750 38.0 \n", + "1052162513 29.0 \n", + "1056100734 41.0 \n", + "1055397049 39.0 \n", + "1052162543 23.0 \n", "\n", " prior_exposures_to_omissions ecephys_session_id \\\n", "behavior_session_id \n", - "1051333618 0.0 NaN \n", - "1052301754 0.0 NaN \n", - "1052374521 0.0 1.052342e+09 \n", - "1051860415 0.0 NaN \n", - "1052132182 0.0 NaN \n", + "1055198750 0 1.055182e+09 \n", + "1052162513 0 1.051331e+09 \n", + "1056100734 0 1.056090e+09 \n", + "1055397049 0 1.055387e+09 \n", + "1052162543 0 1.052096e+09 \n", "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "1051333618 2020-09-18 10:02:30.869000 \n", - "1052301754 2020-09-23 09:43:25.595000 \n", - "1052374521 2020-09-23 15:34:18.179000 \n", - "1051860415 2020-09-21 09:57:23.650000 \n", - "1052132182 2020-09-22 12:04:46.304000 \n", + " date_of_acquisition \\\n", + "behavior_session_id \n", + "1055198750 2020-10-07 09:40:30.407000+00:00 \n", + "1052162513 2020-09-18 10:18:25.503000+00:00 \n", + "1056100734 2020-10-12 12:31:57.133000+00:00 \n", + "1055397049 2020-10-08 10:46:16.623000+00:00 \n", + "1052162543 2020-09-22 10:54:33.351000+00:00 \n", "\n", - " session_type \\\n", - "behavior_session_id \n", - "1051333618 TRAINING_0_gratings_autorewards_15min_0uL_reward \n", - "1052301754 TRAINING_1_gratings_10uL_reward \n", - "1052374521 EPHYS_1_images_G_3uL_reward \n", - "1051860415 TRAINING_4_images_G_training_7uL_reward \n", - "1052132182 TRAINING_3_images_G_10uL_reward \n", + " session_type \\\n", + "behavior_session_id \n", + "1055198750 HABITUATION_5_images_G_handoff_ready_3uL_reward \n", + "1052162513 HABITUATION_5_images_G_handoff_ready_3uL_reward \n", + "1056100734 HABITUATION_5_images_G_handoff_ready_3uL_reward \n", + "1055397049 HABITUATION_5_images_G_handoff_ready_3uL_reward \n", + "1052162543 HABITUATION_5_images_G_handoff_ready_5uL_reward \n", "\n", - " image_set \n", - "behavior_session_id \n", - "1051333618 NaN \n", - "1052301754 NaN \n", - "1052374521 G \n", - "1051860415 G \n", - "1052132182 G " + " image_set file_id \n", + "behavior_session_id \n", + "1055198750 G 1022 \n", + "1052162513 G 1023 \n", + "1056100734 G 1024 \n", + "1055397049 G 1025 \n", + "1052162543 G 1026 " ] }, - "execution_count": 12, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1302,9 +1839,17 @@ "cell_type": "markdown", "id": "93b90aae", "metadata": { + "papermill": { + "duration": 0.019027, + "end_time": "2022-12-13T22:05:08.857757", + "exception": false, + "start_time": "2022-12-13T22:05:08.838730", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "This file contains metadata summarizing every behavior session experienced by the mice in this data release. By filtering on the `mouse_id` column, it can be used to reconstruct the history of any given mouse as it passed through our experimental apparatus." @@ -1314,9 +1859,17 @@ "cell_type": "markdown", "id": "d41f3afb", "metadata": { + "papermill": { + "duration": 0.018925, + "end_time": "2022-12-13T22:05:08.895612", + "exception": false, + "start_time": "2022-12-13T22:05:08.876687", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Probes table\n", @@ -1326,13 +1879,27 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "id": "0db9b3c8", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:08.936126Z", + "iopub.status.busy": "2022-12-13T22:05:08.935430Z", + "iopub.status.idle": "2022-12-13T22:05:08.952329Z", + "shell.execute_reply": "2022-12-13T22:05:08.950964Z" + }, + "papermill": { + "duration": 0.039224, + "end_time": "2022-12-13T22:05:08.954194", + "exception": false, + "start_time": "2022-12-13T22:05:08.914970", + "status": "completed" + }, "pycharm": { "name": "#%%\n" }, - "scrolled": true + "scrolled": true, + "tags": [] }, "outputs": [ { @@ -1492,7 +2059,7 @@ "1044506937 ['CA1', 'DG', 'LP', 'MRN', 'POL', 'PoT', 'SGN'... 4 " ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1509,9 +2076,17 @@ "cell_type": "markdown", "id": "edd8a43d", "metadata": { + "papermill": { + "duration": 0.019211, + "end_time": "2022-12-13T22:05:08.992860", + "exception": false, + "start_time": "2022-12-13T22:05:08.973649", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "This table records metadata for every neuropixels probe encompassed in this data release. Probes are identified by a unique ID (`ecephys_probe_id`). They can be associated with ecephys sessions via the `ecephys_session_id` column." @@ -1521,9 +2096,17 @@ "cell_type": "markdown", "id": "c701b36a", "metadata": { + "papermill": { + "duration": 0.019105, + "end_time": "2022-12-13T22:05:09.030996", + "exception": false, + "start_time": "2022-12-13T22:05:09.011891", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Channels table\n", @@ -1533,12 +2116,26 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "id": "1c31f14c", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:09.071090Z", + "iopub.status.busy": "2022-12-13T22:05:09.070398Z", + "iopub.status.idle": "2022-12-13T22:05:09.086457Z", + "shell.execute_reply": "2022-12-13T22:05:09.085731Z" + }, + "papermill": { + "duration": 0.038284, + "end_time": "2022-12-13T22:05:09.088261", + "exception": false, + "start_time": "2022-12-13T22:05:09.049977", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -1721,7 +2318,7 @@ "1049365514 MRN 7 True " ] }, - "execution_count": 14, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1738,9 +2335,17 @@ "cell_type": "markdown", "id": "4e0c3fb0", "metadata": { + "papermill": { + "duration": 0.019273, + "end_time": "2022-12-13T22:05:09.127241", + "exception": false, + "start_time": "2022-12-13T22:05:09.107968", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "This table records metadata for each individual channel on the neuropixels probes encompassed in this release. Channels are identified by a unique identifier (`ecephys_channel_id`) and can be linked to probes via the `ecephys_probe_id` column and to sessions via the `ecephys_session_id` column." @@ -1750,9 +2355,17 @@ "cell_type": "markdown", "id": "a6999a80", "metadata": { + "papermill": { + "duration": 0.019005, + "end_time": "2022-12-13T22:05:09.165276", + "exception": false, + "start_time": "2022-12-13T22:05:09.146271", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Units table\n", @@ -1762,12 +2375,26 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "id": "de44e546", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:09.205233Z", + "iopub.status.busy": "2022-12-13T22:05:09.204581Z", + "iopub.status.idle": "2022-12-13T22:05:09.226238Z", + "shell.execute_reply": "2022-12-13T22:05:09.225536Z" + }, + "papermill": { + "duration": 0.043679, + "end_time": "2022-12-13T22:05:09.227799", + "exception": false, + "start_time": "2022-12-13T22:05:09.184120", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -2031,7 +2658,7 @@ "[5 rows x 34 columns]" ] }, - "execution_count": 15, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2048,9 +2675,17 @@ "cell_type": "markdown", "id": "204b5bdd", "metadata": { + "papermill": { + "duration": 0.019537, + "end_time": "2022-12-13T22:05:09.267046", + "exception": false, + "start_time": "2022-12-13T22:05:09.247509", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "This table provides metadata on the units identified in this data release. Quoting the [Visual Coding Neuropixels documentation](https://allensdk.readthedocs.io/en/latest/visual_coding_neuropixels.html)\n", @@ -2065,9 +2700,17 @@ "cell_type": "markdown", "id": "fadc86ca", "metadata": { + "papermill": { + "duration": 0.019217, + "end_time": "2022-12-13T22:05:09.305473", + "exception": false, + "start_time": "2022-12-13T22:05:09.286256", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "### Using the AllenSDK to access Visual Behavior Neuropixels data\n", @@ -2081,26 +2724,33 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 21, "id": "78115f42", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:05:09.346694Z", + "iopub.status.busy": "2022-12-13T22:05:09.345982Z", + "iopub.status.idle": "2022-12-13T22:06:50.239681Z", + "shell.execute_reply": "2022-12-13T22:06:50.238307Z" + }, + "papermill": { + "duration": 100.917407, + "end_time": "2022-12-13T22:06:50.242400", + "exception": false, + "start_time": "2022-12-13T22:05:09.324993", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { - "ename": "AttributeError", - "evalue": "'Pandas' object has no attribute 'file_id'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mecephys_session\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ecephys_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mecephys_session_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1052533639\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_neuropixels_project_cache.py\u001b[0m in \u001b[0;36mget_ecephys_session\u001b[0;34m(self, ecephys_session_id)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 148\u001b[0m \"\"\"\n\u001b[0;32m--> 149\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfetch_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ecephys_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mecephys_session_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 150\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 151\u001b[0m def get_behavior_session(\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/behavior_neuropixels_project_cloud_api.py\u001b[0m in \u001b[0;36mget_ecephys_session\u001b[0;34m(self, ecephys_session_id)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mprobes_meta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m probe_data_path_map = {\n\u001b[0m\u001b[1;32m 129\u001b[0m p.name: make_lazy_load_filepath_function(\n\u001b[1;32m 130\u001b[0m \u001b[0mfile_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfile_id_column\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/anaconda3/lib/python3.8/site-packages/allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/behavior_neuropixels_project_cloud_api.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 128\u001b[0m probe_data_path_map = {\n\u001b[1;32m 129\u001b[0m p.name: make_lazy_load_filepath_function(\n\u001b[0;32m--> 130\u001b[0;31m \u001b[0mfile_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfile_id_column\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 131\u001b[0m )\n\u001b[1;32m 132\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mprobes_meta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitertuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'Pandas' object has no attribute 'file_id'" + "name": "stderr", + "output_type": "stream", + "text": [ + "ecephys_session_1052533639.nwb: 100%|██████████| 2.31G/2.31G [01:22<00:00, 28.0MMB/s]\n" ] } ], @@ -2110,19 +2760,33 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 22, "id": "404eee4e", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:50.346888Z", + "iopub.status.busy": "2022-12-13T22:06:50.346099Z", + "iopub.status.idle": "2022-12-13T22:06:50.350524Z", + "shell.execute_reply": "2022-12-13T22:06:50.349859Z" + }, + "papermill": { + "duration": 0.057902, + "end_time": "2022-12-13T22:06:50.352246", + "exception": false, + "start_time": "2022-12-13T22:06:50.294344", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "['behavior_data_class', 'behavior_session_id', 'eye_tracking', 'eye_tracking_rig_geometry', 'get_channels', 'get_performance_metrics', 'get_reward_rate', 'get_rolling_performance_df', 'get_units', 'licks', 'mean_waveforms', 'metadata', 'optotagging_table', 'probes', 'raw_running_speed', 'rewards', 'running_speed', 'spike_amplitudes', 'spike_times', 'stimulus_presentations', 'stimulus_templates', 'stimulus_timestamps', 'task_parameters', 'trials']\n" + "['behavior_data_class', 'behavior_session_id', 'eye_tracking', 'eye_tracking_rig_geometry', 'get_channels', 'get_current_source_density', 'get_lfp', 'get_performance_metrics', 'get_probes_obj', 'get_reward_rate', 'get_rolling_performance_df', 'get_units', 'licks', 'mean_waveforms', 'metadata', 'optotagging_table', 'probes', 'raw_running_speed', 'rewards', 'running_speed', 'spike_amplitudes', 'spike_times', 'stimulus_presentations', 'stimulus_templates', 'stimulus_timestamps', 'task_parameters', 'trials']\n" ] } ], @@ -2135,9 +2799,17 @@ "cell_type": "markdown", "id": "718398a8", "metadata": { + "papermill": { + "duration": 0.049468, + "end_time": "2022-12-13T22:06:50.451036", + "exception": false, + "start_time": "2022-12-13T22:06:50.401568", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "Let's try viewing one of the visual stimuli presented to the mouse during the behavior session we downloaded:" @@ -2145,12 +2817,26 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 23, "id": "e129ce92", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:50.552516Z", + "iopub.status.busy": "2022-12-13T22:06:50.551723Z", + "iopub.status.idle": "2022-12-13T22:06:51.842169Z", + "shell.execute_reply": "2022-12-13T22:06:51.841129Z" + }, + "papermill": { + "duration": 1.34341, + "end_time": "2022-12-13T22:06:51.844079", + "exception": false, + "start_time": "2022-12-13T22:06:50.500669", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -2252,7 +2938,7 @@ "im034_r [[124, 126, 128, 128, 129, 129, 129, 129, 127,... " ] }, - "execution_count": 18, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2264,34 +2950,46 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 24, "id": "b79a705f", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:51.948939Z", + "iopub.status.busy": "2022-12-13T22:06:51.948226Z", + "iopub.status.idle": "2022-12-13T22:06:52.336178Z", + "shell.execute_reply": "2022-12-13T22:06:52.335356Z" + }, + "papermill": { + "duration": 0.449845, + "end_time": "2022-12-13T22:06:52.345207", + "exception": false, + "start_time": "2022-12-13T22:06:51.895362", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2304,9 +3002,17 @@ "cell_type": "markdown", "id": "20f26ffc", "metadata": { + "papermill": { + "duration": 0.052605, + "end_time": "2022-12-13T22:06:52.452106", + "exception": false, + "start_time": "2022-12-13T22:06:52.399501", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "As you can see, the `ecephy_session` object has a lot of attributes and methods that can be used to access underlying data in the NWB file. Most of these will be touched on in other tutorials for [this data release](http://portal.brain-map.org/explore/circuits/visual-behavior-neuropixels).\n", @@ -2318,9 +3024,17 @@ "cell_type": "markdown", "id": "073479ed", "metadata": { + "papermill": { + "duration": 0.052921, + "end_time": "2022-12-13T22:06:52.557822", + "exception": false, + "start_time": "2022-12-13T22:06:52.504901", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "#### Downloading the complete dataset with AllenSDK\n", @@ -2332,12 +3046,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "id": "a8dd738e", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:52.665074Z", + "iopub.status.busy": "2022-12-13T22:06:52.664291Z", + "iopub.status.idle": "2022-12-13T22:06:52.671114Z", + "shell.execute_reply": "2022-12-13T22:06:52.670539Z" + }, + "papermill": { + "duration": 0.062675, + "end_time": "2022-12-13T22:06:52.673008", + "exception": false, + "start_time": "2022-12-13T22:06:52.610333", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [], "source": [ @@ -2353,9 +3081,17 @@ "cell_type": "markdown", "id": "6c221e33", "metadata": { + "papermill": { + "duration": 0.053095, + "end_time": "2022-12-13T22:06:52.779049", + "exception": false, + "start_time": "2022-12-13T22:06:52.725954", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Direct download of data from S3\n", @@ -2403,12 +3139,26 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "id": "4406b4fe", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:52.887417Z", + "iopub.status.busy": "2022-12-13T22:06:52.886732Z", + "iopub.status.idle": "2022-12-13T22:06:52.892219Z", + "shell.execute_reply": "2022-12-13T22:06:52.891502Z" + }, + "papermill": { + "duration": 0.062839, + "end_time": "2022-12-13T22:06:52.894811", + "exception": false, + "start_time": "2022-12-13T22:06:52.831972", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -2433,12 +3183,26 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 27, "id": "85b08e04", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:53.003409Z", + "iopub.status.busy": "2022-12-13T22:06:53.002596Z", + "iopub.status.idle": "2022-12-13T22:06:53.009358Z", + "shell.execute_reply": "2022-12-13T22:06:53.008522Z" + }, + "papermill": { + "duration": 0.06321, + "end_time": "2022-12-13T22:06:53.011124", + "exception": false, + "start_time": "2022-12-13T22:06:52.947914", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -2461,12 +3225,26 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 28, "id": "48725404", "metadata": { + "execution": { + "iopub.execute_input": "2022-12-13T22:06:53.119057Z", + "iopub.status.busy": "2022-12-13T22:06:53.118415Z", + "iopub.status.idle": "2022-12-13T22:06:53.123328Z", + "shell.execute_reply": "2022-12-13T22:06:53.122728Z" + }, + "papermill": { + "duration": 0.061216, + "end_time": "2022-12-13T22:06:53.125217", + "exception": false, + "start_time": "2022-12-13T22:06:53.064001", + "status": "completed" + }, "pycharm": { "name": "#%%\n" - } + }, + "tags": [] }, "outputs": [ { @@ -2491,9 +3269,17 @@ "cell_type": "markdown", "id": "baa0a0b9", "metadata": { + "papermill": { + "duration": 0.056567, + "end_time": "2022-12-13T22:06:53.237083", + "exception": false, + "start_time": "2022-12-13T22:06:53.180516", + "status": "completed" + }, "pycharm": { "name": "#%% md\n" - } + }, + "tags": [] }, "source": [ "## Downloading previous versions of released data from S3\n", @@ -2543,14 +3329,4333 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "id": "680f6a45", "metadata": 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"environment_variables": {}, + "exception": null, + "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb", + "output_path": "/tmp/tmpcdrogsyf/scratch_nb.ipynb", + "parameters": { + "DOWNLOAD_COMPLETE_DATASET": false, + "output_dir": "/tmp/tmpcdrogsyf", + "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" + }, + "start_time": "2022-12-13T22:04:34.895886", + "version": "2.4.0" } }, "nbformat": 4, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb index 563ab7875..4e6828269 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb @@ -5,10 +5,10 @@ "id": "84fd1001", "metadata": { "papermill": { - "duration": 0.018305, - "end_time": "2022-12-09T21:24:24.893367", + "duration": 0.013966, + "end_time": "2022-12-13T21:56:30.427114", "exception": false, - "start_time": "2022-12-09T21:24:24.875062", + "start_time": "2022-12-13T21:56:30.413148", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "7ccbca6e", "metadata": { "papermill": { - "duration": 0.015264, - "end_time": "2022-12-09T21:24:24.925873", + "duration": 0.011706, + "end_time": "2022-12-13T21:56:30.450778", "exception": false, - "start_time": "2022-12-09T21:24:24.910609", + "start_time": "2022-12-13T21:56:30.439072", "status": "completed" }, "pycharm": { @@ -55,10 +55,10 @@ "id": "6060bfd4", "metadata": { "papermill": { - "duration": 0.015564, - "end_time": "2022-12-09T21:24:24.958653", + "duration": 0.011554, + "end_time": "2022-12-13T21:56:30.474187", "exception": false, - "start_time": "2022-12-09T21:24:24.943089", + "start_time": "2022-12-13T21:56:30.462633", "status": "completed" }, "pycharm": { @@ -75,10 +75,10 @@ "id": 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false, - "start_time": "2022-12-09T21:24:25.004040", + "start_time": "2022-12-13T21:56:30.509755", "status": "completed" }, "pycharm": { @@ -119,75 +119,75 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", - "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", - "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", - "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", + "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", - "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", - "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", + "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", - "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", + "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", + "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", - "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", - "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", + "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", + "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", + "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", - "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", - "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", + "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", + "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", - "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", + "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" @@ -203,10 +203,10 @@ "id": "8fdbaa9c", "metadata": { "papermill": { - "duration": 0.015943, - "end_time": "2022-12-09T21:24:28.420828", + "duration": 0.012401, + "end_time": "2022-12-13T21:56:32.942406", "exception": false, - "start_time": "2022-12-09T21:24:28.404885", + "start_time": "2022-12-13T21:56:32.930005", "status": "completed" }, "pycharm": { @@ -223,10 +223,10 @@ "id": "148b467a", "metadata": { "papermill": { - "duration": 0.016039, - "end_time": "2022-12-09T21:24:28.453065", + "duration": 0.012153, + "end_time": "2022-12-13T21:56:32.966725", "exception": false, - "start_time": "2022-12-09T21:24:28.437026", + "start_time": "2022-12-13T21:56:32.954572", "status": "completed" }, "pycharm": { @@ -247,16 +247,16 @@ "id": "b2366c72", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:28.486841Z", - "iopub.status.busy": "2022-12-09T21:24:28.486146Z", - "iopub.status.idle": "2022-12-09T21:24:33.965327Z", - "shell.execute_reply": "2022-12-09T21:24:33.964152Z" + "iopub.execute_input": "2022-12-13T21:56:32.993139Z", + "iopub.status.busy": "2022-12-13T21:56:32.992433Z", + "iopub.status.idle": "2022-12-13T21:56:37.057265Z", + "shell.execute_reply": "2022-12-13T21:56:37.056126Z" }, "papermill": { - "duration": 5.500417, - "end_time": "2022-12-09T21:24:33.968864", + "duration": 4.080536, + "end_time": "2022-12-13T21:56:37.059439", "exception": false, - "start_time": "2022-12-09T21:24:28.468447", + "start_time": "2022-12-13T21:56:32.978903", "status": "completed" }, "pycharm": { @@ -271,55 +271,55 @@ "text": [ "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", - "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", - "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", - "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", + "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", - "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", - "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", + "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", + "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", + "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", @@ -332,15 +332,15 @@ "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", + "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", - "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -356,10 +356,10 @@ "id": "4af0fcb7", "metadata": { "papermill": { - "duration": 0.018491, - "end_time": "2022-12-09T21:24:34.008916", + "duration": 0.012976, + "end_time": "2022-12-13T21:56:37.086467", "exception": false, - "start_time": "2022-12-09T21:24:33.990425", + "start_time": "2022-12-13T21:56:37.073491", "status": "completed" }, "pycharm": { @@ -377,16 +377,16 @@ "id": "c8d7a12e", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:34.048185Z", - "iopub.status.busy": "2022-12-09T21:24:34.047364Z", - "iopub.status.idle": "2022-12-09T21:24:43.472724Z", - "shell.execute_reply": "2022-12-09T21:24:43.471413Z" + "iopub.execute_input": "2022-12-13T21:56:37.114281Z", + "iopub.status.busy": "2022-12-13T21:56:37.113580Z", + "iopub.status.idle": "2022-12-13T21:56:43.204498Z", + "shell.execute_reply": "2022-12-13T21:56:43.203713Z" }, "papermill": { - "duration": 9.450747, - "end_time": "2022-12-09T21:24:43.477354", + "duration": 6.107271, + "end_time": "2022-12-13T21:56:43.206642", "exception": false, - "start_time": "2022-12-09T21:24:34.026607", + "start_time": "2022-12-13T21:56:37.099371", "status": "completed" }, "pycharm": { @@ -420,10 +420,10 @@ "id": "ecf6f957", "metadata": { "papermill": { - "duration": 0.017844, - "end_time": "2022-12-09T21:24:43.515697", + "duration": 0.013447, + "end_time": "2022-12-13T21:56:43.233627", "exception": false, - "start_time": "2022-12-09T21:24:43.497853", + "start_time": "2022-12-13T21:56:43.220180", "status": "completed" }, "pycharm": { @@ -441,16 +441,16 @@ "id": "cce05847", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:43.554170Z", - "iopub.status.busy": "2022-12-09T21:24:43.552750Z", - "iopub.status.idle": "2022-12-09T21:24:43.558226Z", - "shell.execute_reply": "2022-12-09T21:24:43.557235Z" + "iopub.execute_input": "2022-12-13T21:56:43.262431Z", + "iopub.status.busy": "2022-12-13T21:56:43.261585Z", + "iopub.status.idle": "2022-12-13T21:56:43.267457Z", + "shell.execute_reply": "2022-12-13T21:56:43.266181Z" }, "papermill": { - "duration": 0.02644, - "end_time": "2022-12-09T21:24:43.560204", + "duration": 0.022276, + "end_time": "2022-12-13T21:56:43.269205", "exception": false, - "start_time": "2022-12-09T21:24:43.533764", + "start_time": "2022-12-13T21:56:43.246929", "status": "completed" }, "pycharm": { @@ -472,16 +472,16 @@ "id": "fa821481", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:43.643145Z", - "iopub.status.busy": "2022-12-09T21:24:43.642067Z", - "iopub.status.idle": "2022-12-09T21:24:50.890593Z", - "shell.execute_reply": "2022-12-09T21:24:50.889418Z" + "iopub.execute_input": "2022-12-13T21:56:43.330295Z", + "iopub.status.busy": "2022-12-13T21:56:43.329794Z", + "iopub.status.idle": "2022-12-13T21:56:53.507182Z", + "shell.execute_reply": "2022-12-13T21:56:53.506371Z" }, "papermill": { - "duration": 7.270686, - "end_time": "2022-12-09T21:24:50.893828", + "duration": 10.193731, + "end_time": "2022-12-13T21:56:53.509580", "exception": false, - "start_time": "2022-12-09T21:24:43.623142", + "start_time": "2022-12-13T21:56:43.315849", "status": "completed" }, "pycharm": { @@ -502,15 +502,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpkyeocqz5/_downloaded_data.json\n", + "/tmp/tmpea7vd2at/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.47MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 6.08MMB/s]\n", - "units.csv: 100%|██████████| 132M/132M [00:02<00:00, 44.3MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.56MMB/s]\n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:00<00:00, 37.7MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 517kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.16MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:04<00:00, 27.4MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 895kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 25.1MMB/s]\n" ] } ], @@ -525,16 +525,16 @@ "id": "323bba07", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:50.941918Z", - "iopub.status.busy": "2022-12-09T21:24:50.940700Z", - "iopub.status.idle": "2022-12-09T21:24:53.203463Z", - "shell.execute_reply": "2022-12-09T21:24:53.202402Z" + "iopub.execute_input": "2022-12-13T21:56:53.545773Z", + "iopub.status.busy": "2022-12-13T21:56:53.545131Z", + "iopub.status.idle": "2022-12-13T21:56:55.721326Z", + "shell.execute_reply": "2022-12-13T21:56:55.720186Z" }, "papermill": { - "duration": 2.288051, - "end_time": "2022-12-09T21:24:53.206304", + "duration": 2.197032, + "end_time": "2022-12-13T21:56:55.723824", "exception": false, - "start_time": "2022-12-09T21:24:50.918253", + "start_time": "2022-12-13T21:56:53.526792", "status": "completed" }, "pycharm": { @@ -553,10 +553,10 @@ "id": "95cdc052", "metadata": { "papermill": { - "duration": 0.022517, - "end_time": "2022-12-09T21:24:53.250886", + "duration": 0.01666, + "end_time": "2022-12-13T21:56:55.757652", "exception": false, - "start_time": "2022-12-09T21:24:53.228369", + "start_time": "2022-12-13T21:56:55.740992", "status": "completed" }, "pycharm": { @@ -573,10 +573,10 @@ "id": "1824a707", "metadata": { "papermill": { - "duration": 0.020966, - "end_time": "2022-12-09T21:24:53.298569", + "duration": 0.016381, + "end_time": "2022-12-13T21:56:55.790629", "exception": false, - "start_time": "2022-12-09T21:24:53.277603", + "start_time": "2022-12-13T21:56:55.774248", "status": "completed" }, "pycharm": { @@ -594,10 +594,10 @@ "metadata": { "collapsed": false, "papermill": { - "duration": 0.019972, - "end_time": "2022-12-09T21:24:53.338672", + "duration": 0.016313, + "end_time": "2022-12-13T21:56:55.823264", "exception": false, - "start_time": "2022-12-09T21:24:53.318700", + "start_time": "2022-12-13T21:56:55.806951", "status": "completed" }, "pycharm": { @@ -615,10 +615,10 @@ "metadata": { "collapsed": false, "papermill": { - "duration": 0.020611, - "end_time": "2022-12-09T21:24:53.380495", + "duration": 0.016544, + "end_time": "2022-12-13T21:56:55.856086", "exception": false, - "start_time": "2022-12-09T21:24:53.359884", + "start_time": "2022-12-13T21:56:55.839542", "status": "completed" }, "pycharm": { @@ -653,10 +653,10 @@ "id": "c6b0210f", "metadata": { "papermill": { - "duration": 0.021374, - "end_time": "2022-12-09T21:24:53.423230", + "duration": 0.016358, + "end_time": "2022-12-13T21:56:55.889109", "exception": false, - "start_time": "2022-12-09T21:24:53.401856", + "start_time": "2022-12-13T21:56:55.872751", "status": "completed" }, "pycharm": { @@ -691,10 +691,10 @@ "id": "971bc05f", "metadata": { "papermill": { - "duration": 0.020248, - "end_time": "2022-12-09T21:24:53.463901", + "duration": 0.016413, + "end_time": "2022-12-13T21:56:55.921929", "exception": false, - "start_time": "2022-12-09T21:24:53.443653", + "start_time": "2022-12-13T21:56:55.905516", "status": "completed" }, "pycharm": { @@ -711,10 +711,10 @@ "id": "5bfe5dac", "metadata": { "papermill": { - "duration": 0.02453, - "end_time": "2022-12-09T21:24:53.511306", + "duration": 0.016422, + "end_time": "2022-12-13T21:56:55.954704", "exception": false, - "start_time": "2022-12-09T21:24:53.486776", + "start_time": "2022-12-13T21:56:55.938282", "status": "completed" }, "pycharm": { @@ -734,16 +734,16 @@ "id": "f8813a37", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:53.556696Z", - "iopub.status.busy": "2022-12-09T21:24:53.556095Z", - "iopub.status.idle": "2022-12-09T21:24:53.571503Z", - "shell.execute_reply": "2022-12-09T21:24:53.570455Z" + "iopub.execute_input": "2022-12-13T21:56:55.989959Z", + "iopub.status.busy": "2022-12-13T21:56:55.989288Z", + "iopub.status.idle": "2022-12-13T21:56:56.000462Z", + "shell.execute_reply": "2022-12-13T21:56:55.999889Z" }, "papermill": { - "duration": 0.039326, - "end_time": "2022-12-09T21:24:53.573731", + "duration": 0.030675, + "end_time": "2022-12-13T21:56:56.001954", "exception": false, - "start_time": "2022-12-09T21:24:53.534405", + "start_time": "2022-12-13T21:56:55.971279", "status": "completed" }, "pycharm": { @@ -779,10 +779,10 @@ "id": "31b59454", "metadata": { "papermill": { - "duration": 0.019809, - "end_time": "2022-12-09T21:24:53.615029", + "duration": 0.016398, + "end_time": "2022-12-13T21:56:56.034972", "exception": false, - "start_time": "2022-12-09T21:24:53.595220", + "start_time": "2022-12-13T21:56:56.018574", "status": "completed" }, "pycharm": { @@ -801,10 +801,10 @@ "id": "3004173a", "metadata": { "papermill": { - "duration": 0.019582, - "end_time": "2022-12-09T21:24:53.654023", + "duration": 0.016619, + "end_time": "2022-12-13T21:56:56.068068", "exception": false, - "start_time": "2022-12-09T21:24:53.634441", + "start_time": "2022-12-13T21:56:56.051449", "status": "completed" }, "pycharm": { @@ -823,10 +823,10 @@ "id": "f7ec63af", "metadata": { "papermill": { - "duration": 0.019805, - "end_time": "2022-12-09T21:24:53.694097", + "duration": 0.016361, + "end_time": "2022-12-13T21:56:56.100895", "exception": false, - "start_time": "2022-12-09T21:24:53.674292", + "start_time": "2022-12-13T21:56:56.084534", "status": "completed" }, "pycharm": { @@ -852,16 +852,16 @@ "id": "725bbf5d", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:53.736884Z", - "iopub.status.busy": "2022-12-09T21:24:53.735827Z", - "iopub.status.idle": "2022-12-09T21:24:53.771347Z", - "shell.execute_reply": "2022-12-09T21:24:53.770419Z" + "iopub.execute_input": "2022-12-13T21:56:56.135764Z", + "iopub.status.busy": "2022-12-13T21:56:56.135078Z", + "iopub.status.idle": "2022-12-13T21:56:56.157996Z", + "shell.execute_reply": "2022-12-13T21:56:56.157232Z" }, "papermill": { - "duration": 0.059367, - "end_time": "2022-12-09T21:24:53.773500", + "duration": 0.04239, + "end_time": "2022-12-13T21:56:56.159683", "exception": false, - "start_time": "2022-12-09T21:24:53.714133", + "start_time": "2022-12-13T21:56:56.117293", "status": "completed" }, "pycharm": { @@ -954,10 +954,10 @@ "id": "6047f34c", "metadata": { "papermill": { - "duration": 0.02022, - "end_time": "2022-12-09T21:24:53.816196", + "duration": 0.016599, + "end_time": "2022-12-13T21:56:56.194090", "exception": false, - "start_time": "2022-12-09T21:24:53.795976", + "start_time": "2022-12-13T21:56:56.177491", "status": "completed" }, "pycharm": { @@ -978,10 +978,10 @@ "id": "750f092e", "metadata": { "papermill": { - "duration": 0.020113, - "end_time": "2022-12-09T21:24:53.856529", + "duration": 0.016565, + "end_time": "2022-12-13T21:56:56.227232", "exception": false, - "start_time": "2022-12-09T21:24:53.836416", + "start_time": "2022-12-13T21:56:56.210667", "status": "completed" }, "pycharm": { @@ -1009,16 +1009,16 @@ "id": "46608095", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:53.900224Z", - "iopub.status.busy": "2022-12-09T21:24:53.899227Z", - "iopub.status.idle": "2022-12-09T21:24:53.907160Z", - "shell.execute_reply": "2022-12-09T21:24:53.905644Z" + "iopub.execute_input": "2022-12-13T21:56:56.262466Z", + "iopub.status.busy": "2022-12-13T21:56:56.261823Z", + "iopub.status.idle": "2022-12-13T21:56:56.267179Z", + "shell.execute_reply": "2022-12-13T21:56:56.266488Z" }, "papermill": { - "duration": 0.032752, - "end_time": "2022-12-09T21:24:53.909464", + "duration": 0.024973, + "end_time": "2022-12-13T21:56:56.268808", "exception": false, - "start_time": "2022-12-09T21:24:53.876712", + "start_time": "2022-12-13T21:56:56.243835", "status": "completed" }, "pycharm": { @@ -1049,16 +1049,16 @@ "id": "21c34235", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:53.952630Z", - "iopub.status.busy": "2022-12-09T21:24:53.951820Z", - "iopub.status.idle": "2022-12-09T21:24:53.975216Z", - "shell.execute_reply": "2022-12-09T21:24:53.974098Z" + "iopub.execute_input": "2022-12-13T21:56:56.304209Z", + "iopub.status.busy": "2022-12-13T21:56:56.303484Z", + "iopub.status.idle": "2022-12-13T21:56:56.320415Z", + "shell.execute_reply": "2022-12-13T21:56:56.319520Z" }, "papermill": { - "duration": 0.047291, - "end_time": "2022-12-09T21:24:53.977333", + "duration": 0.036544, + "end_time": "2022-12-13T21:56:56.322140", "exception": false, - "start_time": "2022-12-09T21:24:53.930042", + "start_time": "2022-12-13T21:56:56.285596", "status": "completed" }, "pycharm": { @@ -1141,10 +1141,10 @@ "id": "81d5812b", "metadata": { "papermill": { - "duration": 0.02094, - "end_time": "2022-12-09T21:24:54.019185", + "duration": 0.01681, + "end_time": "2022-12-13T21:56:56.355716", "exception": false, - "start_time": "2022-12-09T21:24:53.998245", + "start_time": "2022-12-13T21:56:56.338906", "status": "completed" }, "pycharm": { @@ -1162,16 +1162,16 @@ "id": "1f2aa094", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:24:54.063045Z", - "iopub.status.busy": "2022-12-09T21:24:54.062450Z", - "iopub.status.idle": "2022-12-09T21:24:54.084196Z", - "shell.execute_reply": "2022-12-09T21:24:54.082882Z" + "iopub.execute_input": "2022-12-13T21:56:56.391414Z", + "iopub.status.busy": 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"2022-12-09T21:24:57.289547", + "start_time": "2022-12-13T21:57:00.045389", "status": "completed" }, "pycharm": { @@ -4017,17 +4017,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 34.982797, - "end_time": "2022-12-09T21:24:58.066747", + "duration": 31.870398, + "end_time": "2022-12-13T21:57:00.810453", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb", - "output_path": "/tmp/tmpkyeocqz5/scratch_nb.ipynb", + "output_path": "/tmp/tmpea7vd2at/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpkyeocqz5", + "output_dir": "/tmp/tmpea7vd2at", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T21:24:23.083950", + "start_time": "2022-12-13T21:56:28.940055", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb index 025b99d58..e233f8a87 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb @@ -5,10 +5,10 @@ "id": "52f094f0", "metadata": { "papermill": { - "duration": 0.015277, - "end_time": "2022-12-09T22:16:24.855515", + "duration": 0.012552, + "end_time": "2022-12-13T23:11:56.130303", "exception": false, - "start_time": "2022-12-09T22:16:24.840238", + "start_time": "2022-12-13T23:11:56.117751", "status": "completed" }, "tags": [] @@ -34,10 +34,10 @@ "id": "dcbdec38", "metadata": { "papermill": { - "duration": 0.012859, - "end_time": "2022-12-09T22:16:24.881840", + "duration": 0.010196, + "end_time": "2022-12-13T23:11:56.151180", "exception": false, - "start_time": "2022-12-09T22:16:24.868981", + "start_time": "2022-12-13T23:11:56.140984", "status": "completed" }, "tags": [] @@ -77,10 +77,10 @@ "id": "2428eac0", "metadata": { "papermill": { - "duration": 0.011993, - "end_time": "2022-12-09T22:16:24.906327", + "duration": 0.010195, + "end_time": "2022-12-13T23:11:56.171646", "exception": false, - "start_time": "2022-12-09T22:16:24.894334", + "start_time": "2022-12-13T23:11:56.161451", "status": "completed" }, "tags": [] @@ -100,10 +100,10 @@ "id": "da34a8f9", "metadata": { "papermill": { - "duration": 0.012472, - "end_time": "2022-12-09T22:16:24.932365", + "duration": 0.010182, + "end_time": "2022-12-13T23:11:56.192098", "exception": false, - "start_time": "2022-12-09T22:16:24.919893", + "start_time": "2022-12-13T23:11:56.181916", "status": "completed" }, "tags": [] @@ -122,16 +122,16 @@ "id": "7f9f35b4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:16:24.961249Z", - "iopub.status.busy": "2022-12-09T22:16:24.960655Z", - "iopub.status.idle": "2022-12-09T22:16:32.170333Z", - "shell.execute_reply": "2022-12-09T22:16:32.169192Z" + "iopub.execute_input": "2022-12-13T23:11:56.215141Z", + "iopub.status.busy": "2022-12-13T23:11:56.214498Z", + "iopub.status.idle": "2022-12-13T23:12:01.636187Z", + "shell.execute_reply": "2022-12-13T23:12:01.635430Z" }, "papermill": { - "duration": 7.229364, - "end_time": "2022-12-09T22:16:32.174816", + "duration": 5.436417, + "end_time": "2022-12-13T23:12:01.638748", "exception": false, - "start_time": "2022-12-09T22:16:24.945452", + "start_time": "2022-12-13T23:11:56.202331", "status": "completed" }, "tags": [] @@ -163,16 +163,16 @@ "id": "528f33e4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:16:32.210754Z", - "iopub.status.busy": "2022-12-09T22:16:32.209533Z", - "iopub.status.idle": "2022-12-09T22:16:32.215786Z", - "shell.execute_reply": "2022-12-09T22:16:32.214871Z" + "iopub.execute_input": "2022-12-13T23:12:01.662666Z", + "iopub.status.busy": "2022-12-13T23:12:01.661905Z", + "iopub.status.idle": "2022-12-13T23:12:01.665552Z", + "shell.execute_reply": "2022-12-13T23:12:01.665028Z" }, "papermill": { - "duration": 0.027805, - "end_time": "2022-12-09T22:16:32.218382", + "duration": 0.016782, + "end_time": "2022-12-13T23:12:01.666931", "exception": false, - "start_time": "2022-12-09T22:16:32.190577", + "start_time": "2022-12-13T23:12:01.650149", "status": "completed" }, "tags": [ @@ -191,16 +191,16 @@ "id": "0c91d4d0", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:16:32.283156Z", - "iopub.status.busy": "2022-12-09T22:16:32.282773Z", - "iopub.status.idle": "2022-12-09T22:16:39.460383Z", - "shell.execute_reply": "2022-12-09T22:16:39.459181Z" + "iopub.execute_input": "2022-12-13T23:12:01.716228Z", + "iopub.status.busy": "2022-12-13T23:12:01.715604Z", + "iopub.status.idle": "2022-12-13T23:12:12.927177Z", + "shell.execute_reply": "2022-12-13T23:12:12.926387Z" }, "papermill": { - "duration": 7.195506, - "end_time": "2022-12-09T22:16:39.463596", + "duration": 11.225426, + "end_time": "2022-12-13T23:12:12.929702", "exception": false, - "start_time": "2022-12-09T22:16:32.268090", + "start_time": "2022-12-13T23:12:01.704276", "status": "completed" }, "tags": [] @@ -218,15 +218,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpzk9zaxcd/_downloaded_data.json\n", + "/tmp/tmp502bu3zr/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.44MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 6.27MMB/s]\n", - "units.csv: 100%|██████████| 132M/132M [00:02<00:00, 46.8MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.60MMB/s]\n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:00<00:00, 34.2MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 491kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.22MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:05<00:00, 22.1MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 659kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 27.4MMB/s]\n" ] } ], @@ -240,16 +240,16 @@ "id": "8e8aa35d", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:16:39.500049Z", - "iopub.status.busy": "2022-12-09T22:16:39.499522Z", - "iopub.status.idle": "2022-12-09T22:16:39.506988Z", - "shell.execute_reply": "2022-12-09T22:16:39.506000Z" + "iopub.execute_input": "2022-12-13T23:12:12.960730Z", + "iopub.status.busy": "2022-12-13T23:12:12.960152Z", + "iopub.status.idle": "2022-12-13T23:12:12.966327Z", + "shell.execute_reply": "2022-12-13T23:12:12.965667Z" }, "papermill": { - "duration": 0.02816, - "end_time": "2022-12-09T22:16:39.509410", + "duration": 0.023344, + "end_time": "2022-12-13T23:12:12.968005", "exception": false, - "start_time": 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"exception": false, - "start_time": "2022-12-09T22:19:17.698993", + "start_time": "2022-12-13T23:15:11.635239", "status": "completed" }, "tags": [] @@ -2021,10 +2021,10 @@ "id": "10114ffb", "metadata": { "papermill": { - "duration": 0.065344, - "end_time": "2022-12-09T22:19:19.187608", + "duration": 0.068645, + "end_time": "2022-12-13T23:15:12.478969", "exception": false, - "start_time": "2022-12-09T22:19:19.122264", + "start_time": "2022-12-13T23:15:12.410324", "status": "completed" }, "tags": [] @@ -2039,16 +2039,16 @@ "id": "04de1d07", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T22:19:19.326124Z", - "iopub.status.busy": "2022-12-09T22:19:19.325737Z", - "iopub.status.idle": "2022-12-09T22:19:19.840258Z", - "shell.execute_reply": "2022-12-09T22:19:19.838968Z" + "iopub.execute_input": "2022-12-13T23:15:12.630994Z", + "iopub.status.busy": "2022-12-13T23:15:12.630513Z", + "iopub.status.idle": "2022-12-13T23:15:12.839816Z", + "shell.execute_reply": 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"doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb", - "output_path": "/tmp/tmpzk9zaxcd/scratch_nb.ipynb", + "output_path": "/tmp/tmp502bu3zr/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpzk9zaxcd", + "output_dir": "/tmp/tmp502bu3zr", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2022-12-09T22:16:23.828273", + "start_time": "2022-12-13T23:11:55.072762", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb index 4acc3276a..0eb12d1a3 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb @@ -5,10 +5,10 @@ "id": "6c76b6dd", "metadata": { "papermill": { - "duration": 0.009928, - "end_time": "2022-12-09T21:26:01.585244", + "duration": 0.007198, + "end_time": "2022-12-13T21:58:02.051601", "exception": false, - "start_time": "2022-12-09T21:26:01.575316", + "start_time": "2022-12-13T21:58:02.044403", "status": "completed" }, "tags": [] @@ -33,16 +33,16 @@ "id": "ceda3ce7", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:26:01.603467Z", - "iopub.status.busy": "2022-12-09T21:26:01.602709Z", - "iopub.status.idle": "2022-12-09T21:26:08.846131Z", - "shell.execute_reply": "2022-12-09T21:26:08.845048Z" + "iopub.execute_input": "2022-12-13T21:58:02.066434Z", + "iopub.status.busy": "2022-12-13T21:58:02.065557Z", + "iopub.status.idle": "2022-12-13T21:58:07.322459Z", + "shell.execute_reply": "2022-12-13T21:58:07.321670Z" }, "papermill": { - "duration": 7.256021, - "end_time": "2022-12-09T21:26:08.849444", + "duration": 5.267077, + "end_time": "2022-12-13T21:58:07.325105", "exception": false, - "start_time": "2022-12-09T21:26:01.593423", + "start_time": "2022-12-13T21:58:02.058028", "status": "completed" }, "tags": [] @@ -74,10 +74,10 @@ "id": "a7f3faf9", "metadata": { "papermill": { - "duration": 0.00824, - "end_time": "2022-12-09T21:26:08.866888", + "duration": 0.006195, + "end_time": "2022-12-13T21:58:07.338010", "exception": false, - "start_time": "2022-12-09T21:26:08.858648", + "start_time": "2022-12-13T21:58:07.331815", "status": "completed" }, "tags": [] @@ -92,16 +92,16 @@ "id": "d1b9c0de", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:26:08.886999Z", - "iopub.status.busy": "2022-12-09T21:26:08.885742Z", - "iopub.status.idle": "2022-12-09T21:26:08.890694Z", - "shell.execute_reply": "2022-12-09T21:26:08.889883Z" + "iopub.execute_input": "2022-12-13T21:58:07.352415Z", + "iopub.status.busy": "2022-12-13T21:58:07.351469Z", + "iopub.status.idle": "2022-12-13T21:58:07.355389Z", + "shell.execute_reply": "2022-12-13T21:58:07.354741Z" }, "papermill": { - "duration": 0.016708, - "end_time": "2022-12-09T21:26:08.892740", + "duration": 0.013105, + "end_time": "2022-12-13T21:58:07.357175", "exception": false, - "start_time": "2022-12-09T21:26:08.876032", + "start_time": "2022-12-13T21:58:07.344070", "status": "completed" }, "tags": [ @@ -120,16 +120,16 @@ "id": "708db976", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:26:08.937142Z", - "iopub.status.busy": "2022-12-09T21:26:08.936056Z", - "iopub.status.idle": "2022-12-09T21:26:15.905331Z", - "shell.execute_reply": "2022-12-09T21:26:15.904271Z" + "iopub.execute_input": "2022-12-13T21:58:07.389393Z", + "iopub.status.busy": "2022-12-13T21:58:07.388893Z", + "iopub.status.idle": "2022-12-13T21:58:16.642746Z", + "shell.execute_reply": "2022-12-13T21:58:16.641975Z" }, "papermill": { - "duration": 6.98132, - "end_time": "2022-12-09T21:26:15.907947", + "duration": 9.26362, + "end_time": "2022-12-13T21:58:16.645250", "exception": false, - "start_time": "2022-12-09T21:26:08.926627", + "start_time": "2022-12-13T21:58:07.381630", "status": "completed" }, "scrolled": false, @@ -148,15 +148,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmph_dhoxsh/_downloaded_data.json\n", + "/tmp/tmpoo9_6_4j/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.08MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 5.28MMB/s]\n", - "units.csv: 100%|██████████| 132M/132M [00:02<00:00, 45.7MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.61MMB/s]\n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:00<00:00, 41.3MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 571kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.76MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:04<00:00, 30.9MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 876kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 25.6MMB/s]\n" ] } ], @@ -181,10 +181,10 @@ "id": "9fad545a", "metadata": { "papermill": { - "duration": 0.011824, - "end_time": "2022-12-09T21:26:15.932713", + "duration": 0.009589, + "end_time": "2022-12-13T21:58:16.665030", "exception": false, - "start_time": "2022-12-09T21:26:15.920889", + "start_time": "2022-12-13T21:58:16.655441", "status": "completed" }, "tags": [] @@ -199,16 +199,16 @@ "id": "19bf649c", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:26:15.959659Z", - "iopub.status.busy": "2022-12-09T21:26:15.958654Z", - "iopub.status.idle": "2022-12-09T21:26:15.997752Z", - "shell.execute_reply": "2022-12-09T21:26:15.996798Z" + "iopub.execute_input": "2022-12-13T21:58:16.685411Z", + "iopub.status.busy": "2022-12-13T21:58:16.684797Z", + "iopub.status.idle": "2022-12-13T21:58:16.710029Z", + "shell.execute_reply": 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"2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb index d6fbf1126..0a493bb97 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb @@ -5,10 +5,10 @@ "id": "8432ad9b", "metadata": { "papermill": { - "duration": 0.013799, - "end_time": "2022-12-09T21:32:33.704588", + "duration": 0.012131, + "end_time": "2022-12-13T22:06:56.357119", "exception": false, - "start_time": "2022-12-09T21:32:33.690789", + "start_time": "2022-12-13T22:06:56.344988", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "86cb4f05", "metadata": { "papermill": { - "duration": 0.01162, - "end_time": "2022-12-09T21:32:33.728287", + "duration": 0.009798, + "end_time": "2022-12-13T22:06:56.377063", "exception": false, - "start_time": "2022-12-09T21:32:33.716667", + "start_time": "2022-12-13T22:06:56.367265", "status": "completed" }, "pycharm": { @@ -51,10 +51,10 @@ "id": "1be4fb02", "metadata": { "papermill": { - "duration": 0.010769, - "end_time": "2022-12-09T21:32:33.750993", + "duration": 0.009704, + "end_time": "2022-12-13T22:06:56.396447", "exception": false, - "start_time": "2022-12-09T21:32:33.740224", + "start_time": "2022-12-13T22:06:56.386743", "status": "completed" }, "pycharm": { @@ -75,10 +75,10 @@ "id": "4e9c2097", "metadata": { "papermill": { - "duration": 0.010916, - "end_time": "2022-12-09T21:32:33.773338", + "duration": 0.009663, + "end_time": "2022-12-13T22:06:56.415826", "exception": false, - "start_time": "2022-12-09T21:32:33.762422", + "start_time": "2022-12-13T22:06:56.406163", "status": "completed" }, "pycharm": { @@ -113,10 +113,10 @@ "id": "fe5057d6", "metadata": { "papermill": { - "duration": 0.011332, - "end_time": "2022-12-09T21:32:33.795786", + "duration": 0.009639, + "end_time": 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"Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", - "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in 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botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", - "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", + "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from 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/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", + "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", - "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", + "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", @@ -244,9 +244,9 @@ "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", + "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -261,10 +261,10 @@ "id": "05e83dd7", "metadata": { "papermill": { - "duration": 0.013055, - "end_time": "2022-12-09T21:32:36.941455", + "duration": 0.010927, + "end_time": "2022-12-13T22:06:58.870869", "exception": false, - "start_time": "2022-12-09T21:32:36.928400", + "start_time": "2022-12-13T22:06:58.859942", "status": "completed" }, "pycharm": { @@ -281,10 +281,10 @@ "id": "ff3f2f34", "metadata": { "papermill": { - "duration": 0.012365, - "end_time": "2022-12-09T21:32:36.966707", + "duration": 0.010361, + "end_time": "2022-12-13T22:06:58.891676", "exception": false, - "start_time": "2022-12-09T21:32:36.954342", + "start_time": "2022-12-13T22:06:58.881315", "status": "completed" }, "pycharm": { @@ -305,16 +305,16 @@ "id": "03a52ea5", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:32:36.995819Z", - "iopub.status.busy": "2022-12-09T21:32:36.995073Z", - "iopub.status.idle": "2022-12-09T21:32:43.177272Z", - "shell.execute_reply": "2022-12-09T21:32:43.175969Z" + "iopub.execute_input": "2022-12-13T22:06:58.914572Z", + "iopub.status.busy": "2022-12-13T22:06:58.913933Z", + "iopub.status.idle": "2022-12-13T22:07:02.987388Z", + "shell.execute_reply": "2022-12-13T22:07:02.986277Z" }, "papermill": { - "duration": 6.200186, - "end_time": "2022-12-09T21:32:43.179896", + "duration": 4.087738, + "end_time": "2022-12-13T22:07:02.989727", "exception": false, - "start_time": "2022-12-09T21:32:36.979710", + "start_time": "2022-12-13T22:06:58.901989", "status": "completed" }, "pycharm": { @@ -329,75 +329,75 @@ "text": [ "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", - "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in 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(2.13.0)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", - "Requirement already satisfied: python-dateutil in 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"Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", - "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from 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(from hdmf->allensdk) (4.17.3)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", + "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", + "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from 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numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" @@ -414,10 +414,10 @@ "id": "b26fd439", "metadata": { "papermill": { - "duration": 0.013925, - "end_time": "2022-12-09T21:32:43.216293", + "duration": 0.011321, + "end_time": "2022-12-13T22:07:03.013259", "exception": false, - "start_time": "2022-12-09T21:32:43.202368", + "start_time": "2022-12-13T22:07:03.001938", "status": "completed" }, "pycharm": { @@ -435,16 +435,16 @@ "id": "396e1034", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:32:43.249549Z", - "iopub.status.busy": "2022-12-09T21:32:43.248245Z", - "iopub.status.idle": "2022-12-09T21:32:51.176437Z", - "shell.execute_reply": "2022-12-09T21:32:51.175122Z" + "iopub.execute_input": "2022-12-13T22:07:03.037650Z", + "iopub.status.busy": "2022-12-13T22:07:03.036953Z", + "iopub.status.idle": "2022-12-13T22:07:09.315252Z", + "shell.execute_reply": "2022-12-13T22:07:09.314512Z" }, "papermill": { - "duration": 7.949296, - "end_time": "2022-12-09T21:32:51.179182", + "duration": 6.292846, + "end_time": "2022-12-13T22:07:09.317219", "exception": false, - "start_time": "2022-12-09T21:32:43.229886", + "start_time": "2022-12-13T22:07:03.024373", "status": "completed" }, "pycharm": { @@ -486,16 +486,16 @@ "id": "781412bf", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:32:51.210358Z", - "iopub.status.busy": "2022-12-09T21:32:51.209704Z", - "iopub.status.idle": "2022-12-09T21:32:51.215456Z", - "shell.execute_reply": "2022-12-09T21:32:51.214421Z" + "iopub.execute_input": "2022-12-13T22:07:09.342535Z", + "iopub.status.busy": "2022-12-13T22:07:09.341529Z", + "iopub.status.idle": "2022-12-13T22:07:09.345610Z", + "shell.execute_reply": "2022-12-13T22:07:09.344853Z" }, "papermill": { - "duration": 0.023476, - "end_time": "2022-12-09T21:32:51.217992", + "duration": 0.01821, + "end_time": "2022-12-13T22:07:09.347202", "exception": false, - "start_time": "2022-12-09T21:32:51.194516", + "start_time": "2022-12-13T22:07:09.328992", "status": "completed" }, "pycharm": { @@ -519,16 +519,16 @@ "id": "22738ce0", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:32:51.288350Z", - "iopub.status.busy": "2022-12-09T21:32:51.287751Z", - "iopub.status.idle": "2022-12-09T21:32:53.210044Z", - "shell.execute_reply": "2022-12-09T21:32:53.208895Z" + "iopub.execute_input": "2022-12-13T22:07:09.400437Z", + "iopub.status.busy": "2022-12-13T22:07:09.399890Z", + "iopub.status.idle": "2022-12-13T22:07:12.253264Z", + "shell.execute_reply": "2022-12-13T22:07:12.252297Z" }, "papermill": { - "duration": 1.940844, - "end_time": "2022-12-09T21:32:53.212993", + "duration": 2.868125, + "end_time": "2022-12-13T22:07:12.255591", "exception": false, - "start_time": "2022-12-09T21:32:51.272149", + "start_time": "2022-12-13T22:07:09.387466", "status": "completed" }, "pycharm": { @@ -549,14 +549,14 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpqbnbc0bt/_downloaded_data.json\n", + "/tmp/tmpahp878g5/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 3.20MMB/s]\n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 10.7MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 5.19MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 20.0MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.68MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.20MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.85MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 10.4MMB/s]\n" ] } ], @@ -571,10 +571,10 @@ "id": "789b2c29", "metadata": { "papermill": { - "duration": 0.015501, - "end_time": "2022-12-09T21:32:53.244435", + "duration": 0.012228, + "end_time": "2022-12-13T22:07:12.280625", "exception": false, - "start_time": "2022-12-09T21:32:53.228934", + "start_time": "2022-12-13T22:07:12.268397", "status": "completed" }, "pycharm": { @@ -599,10 +599,10 @@ "id": "2c174b0a", "metadata": { "papermill": { - "duration": 0.014936, - "end_time": "2022-12-09T21:32:53.274620", + "duration": 0.012063, + "end_time": "2022-12-13T22:07:12.304815", "exception": false, - "start_time": "2022-12-09T21:32:53.259684", + "start_time": "2022-12-13T22:07:12.292752", "status": "completed" }, "pycharm": { @@ -621,10 +621,10 @@ "id": "df8231e7", "metadata": { "papermill": { - "duration": 0.016059, - "end_time": "2022-12-09T21:32:53.305375", + 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"id": "34c30ddc", "metadata": { "papermill": { - "duration": 0.031225, - "end_time": "2022-12-09T21:38:43.520824", + "duration": 0.025031, + "end_time": "2022-12-13T22:15:38.285875", "exception": false, - "start_time": "2022-12-09T21:38:43.489599", + "start_time": "2022-12-13T22:15:38.260844", "status": "completed" }, "pycharm": { @@ -47,10 +47,10 @@ "id": "f5cf03c7", "metadata": { "papermill": { - "duration": 0.032979, - "end_time": "2022-12-09T21:38:43.590837", + "duration": 0.024873, + "end_time": "2022-12-13T22:15:38.335531", "exception": false, - "start_time": "2022-12-09T21:38:43.557858", + "start_time": "2022-12-13T22:15:38.310658", "status": "completed" }, "pycharm": { @@ -67,10 +67,10 @@ "id": "7910fadd", "metadata": { "papermill": { - "duration": 0.034947, - "end_time": "2022-12-09T21:38:43.657709", + "duration": 0.024947, + "end_time": "2022-12-13T22:15:38.385425", "exception": false, - "start_time": "2022-12-09T21:38:43.622762", + "start_time": "2022-12-13T22:15:38.360478", "status": "completed" }, "pycharm": { @@ -88,16 +88,16 @@ "id": "1823b226", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:38:43.724577Z", - "iopub.status.busy": "2022-12-09T21:38:43.724119Z", - "iopub.status.idle": "2022-12-09T21:38:46.645202Z", - "shell.execute_reply": "2022-12-09T21:38:46.643884Z" + "iopub.execute_input": "2022-12-13T22:15:38.438056Z", + "iopub.status.busy": "2022-12-13T22:15:38.437401Z", + "iopub.status.idle": "2022-12-13T22:15:40.587326Z", + "shell.execute_reply": "2022-12-13T22:15:40.586100Z" }, "papermill": { - "duration": 2.958951, - "end_time": "2022-12-09T21:38:46.648048", + "duration": 2.179241, + "end_time": "2022-12-13T22:15:40.589872", "exception": false, - "start_time": "2022-12-09T21:38:43.689097", + "start_time": "2022-12-13T22:15:38.410631", "status": "completed" }, "pycharm": { @@ -111,76 +111,76 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", + "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", - "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", - "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", - "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", - "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", - "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", - "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", + "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", + "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", - "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", - "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", - "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", - "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", + "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jinja2>=3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (1.4.4)\r\n", + "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", - "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", - "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", - "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", + "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", + "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", + "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", + "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", + "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", + "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: tifffile>=2019.7.26 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2022.10.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (1.4.1)\r\n", - "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", - "Requirement already satisfied: imageio>=2.4.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) (2.22.4)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -195,10 +195,10 @@ "id": "558d41de", "metadata": { "papermill": { - "duration": 0.031327, - "end_time": "2022-12-09T21:38:46.710942", + "duration": 0.025548, + "end_time": "2022-12-13T22:15:40.642586", "exception": false, - "start_time": "2022-12-09T21:38:46.679615", + "start_time": "2022-12-13T22:15:40.617038", "status": "completed" }, "pycharm": { @@ -215,10 +215,10 @@ "id": "a5394404", "metadata": { "papermill": { - "duration": 0.038881, - "end_time": "2022-12-09T21:38:46.780785", + "duration": 0.025635, + "end_time": "2022-12-13T22:15:40.694441", "exception": false, - "start_time": "2022-12-09T21:38:46.741904", + "start_time": "2022-12-13T22:15:40.668806", "status": "completed" }, "pycharm": { @@ -239,16 +239,16 @@ "id": "fdc24a64", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:38:46.848513Z", - "iopub.status.busy": "2022-12-09T21:38:46.847444Z", - "iopub.status.idle": "2022-12-09T21:38:52.486532Z", - "shell.execute_reply": "2022-12-09T21:38:52.483695Z" + "iopub.execute_input": "2022-12-13T22:15:40.747303Z", + "iopub.status.busy": "2022-12-13T22:15:40.746519Z", + "iopub.status.idle": "2022-12-13T22:15:44.816836Z", + "shell.execute_reply": "2022-12-13T22:15:44.815484Z" }, "papermill": { - "duration": 5.675181, - "end_time": "2022-12-09T21:38:52.490034", + "duration": 4.100161, + "end_time": "2022-12-13T22:15:44.819766", "exception": false, - "start_time": "2022-12-09T21:38:46.814853", + "start_time": "2022-12-13T22:15:40.719605", "status": "completed" }, "pycharm": { @@ -263,48 +263,48 @@ "text": [ "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (22.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (2.14.0)\r\n", - "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", - "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", - "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.44)\r\n", - "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", - "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", "Requirement already satisfied: simpleitk<3.0.0,>=2.0.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.1)\r\n", - "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", - "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", - "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", - "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", - "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", - "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", + "Requirement already satisfied: requests<3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.28.1)\r\n", + "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.4.45)\r\n", + "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", "Requirement already satisfied: seaborn<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.12.1)\r\n", + "Requirement already satisfied: jinja2>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.1.2)\r\n", + "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", + "Requirement already satisfied: cachetools<5.0.0,>=4.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.2.4)\r\n", + "Requirement already satisfied: ndx-events<=0.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", "Requirement already satisfied: pynrrd<1.0.0,>=0.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.4.3)\r\n", - "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", - "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", - "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.13.0)\r\n", - "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", - "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", - "Requirement already satisfied: numpy in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", + "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: statsmodels<=0.13.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", "Requirement already satisfied: six<2.0.0,>=1.9.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.16.0)\r\n", - "Requirement already satisfied: scikit-image>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.19.3)\r\n", - "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", - "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", "Requirement already satisfied: tqdm>=4.27 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (4.64.1)\r\n", - "Requirement already satisfied: boto3==1.17.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.17.21)\r\n", + "Requirement already satisfied: argschema<4.0.0,>=3.0.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.9.5)\r\n", + "Requirement already satisfied: simplejson<4.0.0,>=3.10.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.18.0)\r\n", + "Requirement already satisfied: aiohttp==3.7.4 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.4)\r\n", + "Requirement already satisfied: hdmf in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.7)\r\n", + "Requirement already satisfied: scikit-build<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.16.3)\r\n", "Requirement already satisfied: requests-toolbelt<1.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.10.1)\r\n", - "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", + "Requirement already satisfied: xarray in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2022.12.0)\r\n", + "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.6)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.7.0)\r\n", + "Requirement already satisfied: matplotlib<3.4.3,>=1.4.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (3.4.2)\r\n", + "Requirement already satisfied: pandas>=1.1.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.5.2)\r\n", + "Requirement already satisfied: scipy<2.0.0,>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (1.9.3)\r\n", + "Requirement already satisfied: glymur==0.8.19 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.8.19)\r\n", + "Requirement already satisfied: future<1.0.0,>=0.14.3 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (0.18.2)\r\n", + "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from allensdk) (2.2.0)\r\n", + "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (1.8.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (22.1.0)\r\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (4.4.0)\r\n", "Requirement already satisfied: async-timeout<4.0,>=3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.1)\r\n", - "Requirement already satisfied: chardet<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (3.0.4)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from aiohttp==3.7.4->allensdk) (6.0.3)\r\n", - "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: s3transfer<0.4.0,>=0.3.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.3.7)\r\n", "Requirement already satisfied: botocore<1.21.0,>=1.20.21 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (1.20.112)\r\n", + "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from boto3==1.17.21->allensdk) (0.10.0)\r\n", "Requirement already satisfied: setuptools in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from glymur==0.8.19->allensdk) (56.0.0)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (6.0)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from argschema<4.0.0,>=3.0.1->allensdk) (3.19.0)\r\n", @@ -314,25 +314,25 @@ "Requirement already satisfied: pyparsing>=2.2.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (3.0.9)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from matplotlib<3.4.3,>=1.4.3->allensdk) (9.3.0)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from pandas>=1.1.5->allensdk) (2022.6)\r\n", - "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: jsonschema<5,>=2.6.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (4.17.3)\r\n", + "Requirement already satisfied: ruamel.yaml<1,>=0.16 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from hdmf->allensdk) (0.17.21)\r\n", "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2.1.1)\r\n", - "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (1.26.13)\r\n", + "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (3.4)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from requests<3.0.0->allensdk) (2022.12.7)\r\n", - "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (1.8.0)\r\n", "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (0.38.4)\r\n", "Requirement already satisfied: packaging in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-build<1.0.0->allensdk) (22.0)\r\n", - "Requirement already satisfied: networkx>=2.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from scikit-image>=0.14.0->allensdk) 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scikit-image>=0.14.0->allensdk) (2.8.8)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from statsmodels<=0.13.0->allensdk) (0.5.3)\r\n", "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.1)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.4)\r\n", - "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (0.19.2)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (1.3.10)\r\n", + "Requirement already satisfied: importlib-resources>=1.4.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from jsonschema<5,>=2.6.0->hdmf->allensdk) (5.10.1)\r\n", "Requirement already satisfied: ruamel.yaml.clib>=0.2.6 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from ruamel.yaml<1,>=0.16->hdmf->allensdk) (0.2.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages (from importlib-resources>=1.4.0->jsonschema<5,>=2.6.0->hdmf->allensdk) (3.11.0)\r\n" ] @@ -348,10 +348,10 @@ "id": "d26db20b", "metadata": { "papermill": { - "duration": 0.031536, - "end_time": "2022-12-09T21:38:52.555952", + "duration": 0.02616, + "end_time": "2022-12-13T22:15:44.872898", "exception": false, - "start_time": "2022-12-09T21:38:52.524416", + "start_time": "2022-12-13T22:15:44.846738", "status": "completed" }, "pycharm": { @@ -369,16 +369,16 @@ "id": "61cecf93", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:38:52.625274Z", - "iopub.status.busy": "2022-12-09T21:38:52.624432Z", - "iopub.status.idle": "2022-12-09T21:39:02.084973Z", - "shell.execute_reply": "2022-12-09T21:39:02.082934Z" + "iopub.execute_input": "2022-12-13T22:15:44.927292Z", + "iopub.status.busy": "2022-12-13T22:15:44.926639Z", + "iopub.status.idle": "2022-12-13T22:15:50.897964Z", + "shell.execute_reply": "2022-12-13T22:15:50.896552Z" }, "papermill": { - "duration": 9.50027, - "end_time": "2022-12-09T21:39:02.088390", + "duration": 6.001692, + "end_time": "2022-12-13T22:15:50.900578", "exception": false, - "start_time": "2022-12-09T21:38:52.588120", + "start_time": "2022-12-13T22:15:44.898886", "status": "completed" }, "pycharm": { @@ -408,10 +408,10 @@ "id": "4bb898d4", "metadata": { "papermill": { - "duration": 0.036886, - "end_time": "2022-12-09T21:39:02.170068", + "duration": 0.026436, + "end_time": "2022-12-13T22:15:50.954314", "exception": false, - "start_time": "2022-12-09T21:39:02.133182", + "start_time": "2022-12-13T22:15:50.927878", "status": "completed" }, "pycharm": { @@ -429,16 +429,16 @@ "id": "003ddb42", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:02.261062Z", - "iopub.status.busy": "2022-12-09T21:39:02.259230Z", - "iopub.status.idle": "2022-12-09T21:39:02.264861Z", - "shell.execute_reply": "2022-12-09T21:39:02.263971Z" + "iopub.execute_input": "2022-12-13T22:15:51.008823Z", + "iopub.status.busy": "2022-12-13T22:15:51.007763Z", + "iopub.status.idle": "2022-12-13T22:15:51.013351Z", + "shell.execute_reply": "2022-12-13T22:15:51.012358Z" }, "papermill": { - "duration": 0.05664, - "end_time": "2022-12-09T21:39:02.267390", + "duration": 0.034876, + "end_time": "2022-12-13T22:15:51.015141", "exception": false, - "start_time": "2022-12-09T21:39:02.210750", + "start_time": "2022-12-13T22:15:50.980265", "status": "completed" }, "pycharm": { @@ -460,16 +460,16 @@ "id": "f0b38233", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:02.433024Z", - "iopub.status.busy": "2022-12-09T21:39:02.432301Z", - "iopub.status.idle": "2022-12-09T21:39:04.997680Z", - "shell.execute_reply": "2022-12-09T21:39:04.996428Z" + "iopub.execute_input": "2022-12-13T22:15:51.128465Z", + "iopub.status.busy": "2022-12-13T22:15:51.127820Z", + "iopub.status.idle": "2022-12-13T22:15:54.019123Z", + "shell.execute_reply": "2022-12-13T22:15:54.018293Z" }, "papermill": { - "duration": 2.606843, - "end_time": "2022-12-09T21:39:05.001233", + "duration": 2.921333, + "end_time": "2022-12-13T22:15:54.021435", "exception": false, - "start_time": "2022-12-09T21:39:02.394390", + "start_time": "2022-12-13T22:15:51.100102", "status": "completed" }, "pycharm": { @@ -490,14 +490,14 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpkym1aour/_downloaded_data.json\n", + "/tmp/tmpm16f4j4d/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 2.93MMB/s]\n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 6.82MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 5.24MMB/s]\n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 12.3MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.58MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.83MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.78MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 12.7MMB/s]\n" ] } ], @@ -510,10 +510,10 @@ "id": "358b9ca2", "metadata": { "papermill": { - "duration": 0.051369, - "end_time": "2022-12-09T21:39:05.094165", + "duration": 0.02796, + "end_time": "2022-12-13T22:15:54.078063", "exception": false, - "start_time": "2022-12-09T21:39:05.042796", + "start_time": "2022-12-13T22:15:54.050103", "status": "completed" }, "pycharm": { @@ -540,10 +540,10 @@ "id": "745f2f80", "metadata": { "papermill": { - "duration": 0.034876, - "end_time": "2022-12-09T21:39:05.171352", + "duration": 0.027643, + "end_time": "2022-12-13T22:15:54.133592", "exception": false, - "start_time": "2022-12-09T21:39:05.136476", + "start_time": "2022-12-13T22:15:54.105949", "status": "completed" }, "pycharm": { @@ -560,10 +560,10 @@ "id": "5cba01b6", "metadata": { "papermill": { - "duration": 0.036677, - "end_time": "2022-12-09T21:39:05.248697", + "duration": 0.027696, + "end_time": "2022-12-13T22:15:54.189183", "exception": false, - "start_time": "2022-12-09T21:39:05.212020", + "start_time": "2022-12-13T22:15:54.161487", "status": "completed" }, "pycharm": { @@ -582,10 +582,10 @@ "id": "76cd72dd", "metadata": { "papermill": { - "duration": 0.042115, - "end_time": "2022-12-09T21:39:05.328561", + "duration": 0.028184, + "end_time": "2022-12-13T22:15:54.244893", "exception": false, - "start_time": "2022-12-09T21:39:05.286446", + "start_time": "2022-12-13T22:15:54.216709", "status": "completed" }, "pycharm": { @@ -602,10 +602,10 @@ "id": "ff3bee62", "metadata": { "papermill": { - "duration": 0.038845, - "end_time": "2022-12-09T21:39:05.405764", + "duration": 0.027703, + "end_time": "2022-12-13T22:15:54.300538", "exception": false, - "start_time": "2022-12-09T21:39:05.366919", + "start_time": "2022-12-13T22:15:54.272835", "status": "completed" }, "pycharm": { @@ -622,10 +622,10 @@ "id": "4938ec29", "metadata": { "papermill": { - "duration": 0.034788, - "end_time": "2022-12-09T21:39:05.477076", + "duration": 0.027566, + "end_time": "2022-12-13T22:15:54.355926", "exception": false, - "start_time": "2022-12-09T21:39:05.442288", + "start_time": "2022-12-13T22:15:54.328360", "status": "completed" }, "pycharm": { @@ -642,10 +642,10 @@ "id": "13b629b0", "metadata": { "papermill": { - "duration": 0.041678, - "end_time": "2022-12-09T21:39:05.563591", + "duration": 0.029132, + "end_time": "2022-12-13T22:15:54.412597", "exception": false, - "start_time": "2022-12-09T21:39:05.521913", + "start_time": "2022-12-13T22:15:54.383465", "status": "completed" }, "pycharm": { @@ -662,10 +662,10 @@ "id": "0750bf10", "metadata": { "papermill": { - "duration": 0.03801, - "end_time": "2022-12-09T21:39:05.640159", + "duration": 0.02741, + "end_time": "2022-12-13T22:15:54.467309", "exception": false, - "start_time": "2022-12-09T21:39:05.602149", + "start_time": "2022-12-13T22:15:54.439899", "status": "completed" }, "pycharm": { @@ -683,16 +683,16 @@ "id": "6de4c43a", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:05.718435Z", - "iopub.status.busy": "2022-12-09T21:39:05.717131Z", - "iopub.status.idle": "2022-12-09T21:39:05.756550Z", - "shell.execute_reply": "2022-12-09T21:39:05.755714Z" + "iopub.execute_input": "2022-12-13T22:15:54.524156Z", + "iopub.status.busy": "2022-12-13T22:15:54.523585Z", + "iopub.status.idle": "2022-12-13T22:15:54.551339Z", + "shell.execute_reply": "2022-12-13T22:15:54.550527Z" }, "papermill": { - "duration": 0.082094, - "end_time": "2022-12-09T21:39:05.759266", + "duration": 0.058238, + "end_time": "2022-12-13T22:15:54.552988", "exception": false, - "start_time": "2022-12-09T21:39:05.677172", + "start_time": "2022-12-13T22:15:54.494750", "status": "completed" }, "pycharm": { @@ -994,10 +994,10 @@ "id": "23b2e84c", "metadata": { "papermill": { - "duration": 0.039583, - "end_time": "2022-12-09T21:39:05.840227", + "duration": 0.027596, + "end_time": "2022-12-13T22:15:54.608663", "exception": false, - "start_time": "2022-12-09T21:39:05.800644", + "start_time": "2022-12-13T22:15:54.581067", "status": "completed" }, "pycharm": { @@ -1015,16 +1015,16 @@ "id": "4ccde8b1", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:05.920928Z", - "iopub.status.busy": "2022-12-09T21:39:05.920165Z", - "iopub.status.idle": "2022-12-09T21:39:05.929167Z", - "shell.execute_reply": "2022-12-09T21:39:05.928076Z" + "iopub.execute_input": "2022-12-13T22:15:54.666189Z", + "iopub.status.busy": "2022-12-13T22:15:54.665524Z", + "iopub.status.idle": "2022-12-13T22:15:54.671275Z", + "shell.execute_reply": "2022-12-13T22:15:54.670533Z" }, "papermill": { - "duration": 0.055119, - "end_time": "2022-12-09T21:39:05.934008", + "duration": 0.036415, + "end_time": "2022-12-13T22:15:54.672913", "exception": false, - "start_time": "2022-12-09T21:39:05.878889", + "start_time": "2022-12-13T22:15:54.636498", "status": "completed" }, "pycharm": { @@ -1059,10 +1059,10 @@ "id": "38a115a0", "metadata": { "papermill": { - "duration": 0.040348, - "end_time": "2022-12-09T21:39:06.011130", + "duration": 0.076083, + "end_time": "2022-12-13T22:15:54.776621", "exception": false, - "start_time": "2022-12-09T21:39:05.970782", + "start_time": "2022-12-13T22:15:54.700538", "status": "completed" }, "pycharm": { @@ -1080,16 +1080,16 @@ "id": "b20a7aae", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:06.111040Z", - "iopub.status.busy": "2022-12-09T21:39:06.110171Z", - "iopub.status.idle": "2022-12-09T21:39:06.117720Z", - "shell.execute_reply": "2022-12-09T21:39:06.116857Z" + "iopub.execute_input": "2022-12-13T22:15:54.834433Z", + "iopub.status.busy": "2022-12-13T22:15:54.833736Z", + "iopub.status.idle": "2022-12-13T22:15:54.839346Z", + "shell.execute_reply": "2022-12-13T22:15:54.838639Z" }, "papermill": { - "duration": 0.053526, - "end_time": "2022-12-09T21:39:06.119953", + "duration": 0.036383, + "end_time": "2022-12-13T22:15:54.840969", "exception": false, - "start_time": "2022-12-09T21:39:06.066427", + "start_time": "2022-12-13T22:15:54.804586", "status": "completed" }, "pycharm": { @@ -1123,10 +1123,10 @@ "id": "f1bc0503", "metadata": { "papermill": { - 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- "end_time": "2022-12-09T21:39:16.937380", + "duration": 0.032807, + "end_time": "2022-12-13T22:16:02.923054", "exception": false, - "start_time": "2022-12-09T21:39:16.895561", + "start_time": "2022-12-13T22:16:02.890247", "status": "completed" }, "pycharm": { @@ -6114,10 +6114,10 @@ "id": "ec343aef", "metadata": { "papermill": { - "duration": 0.043995, - "end_time": "2022-12-09T21:39:17.024432", + "duration": 0.032873, + "end_time": "2022-12-13T22:16:02.988780", "exception": false, - "start_time": "2022-12-09T21:39:16.980437", + "start_time": "2022-12-13T22:16:02.955907", "status": "completed" }, "pycharm": { @@ -6137,10 +6137,10 @@ "id": "52140d97", "metadata": { "papermill": { - "duration": 0.042578, - "end_time": "2022-12-09T21:39:17.111343", + "duration": 0.032868, + "end_time": "2022-12-13T22:16:03.054504", "exception": false, - "start_time": "2022-12-09T21:39:17.068765", + "start_time": "2022-12-13T22:16:03.021636", "status": "completed" }, "pycharm": { @@ -6156,10 +6156,10 @@ "id": "12c7f170", "metadata": { "papermill": { - "duration": 0.041882, - "end_time": "2022-12-09T21:39:17.195482", + "duration": 0.032783, + "end_time": "2022-12-13T22:16:03.120242", "exception": false, - "start_time": "2022-12-09T21:39:17.153600", + "start_time": "2022-12-13T22:16:03.087459", "status": "completed" }, "pycharm": { @@ -6176,10 +6176,10 @@ "id": "1cedb900", "metadata": { "papermill": { - "duration": 0.043273, - "end_time": "2022-12-09T21:39:17.283035", + "duration": 0.032857, + "end_time": "2022-12-13T22:16:03.186537", "exception": false, - "start_time": "2022-12-09T21:39:17.239762", + "start_time": "2022-12-13T22:16:03.153680", "status": "completed" }, "pycharm": { @@ -6197,16 +6197,16 @@ "id": "67ec7003", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:17.372393Z", - "iopub.status.busy": "2022-12-09T21:39:17.371536Z", - "iopub.status.idle": "2022-12-09T21:39:17.380615Z", - "shell.execute_reply": "2022-12-09T21:39:17.379668Z" + "iopub.execute_input": "2022-12-13T22:16:03.255034Z", + "iopub.status.busy": "2022-12-13T22:16:03.254357Z", + "iopub.status.idle": "2022-12-13T22:16:03.261424Z", + "shell.execute_reply": "2022-12-13T22:16:03.260756Z" }, "papermill": { - "duration": 0.057087, - "end_time": "2022-12-09T21:39:17.382811", + "duration": 0.043298, + "end_time": "2022-12-13T22:16:03.262884", "exception": false, - "start_time": "2022-12-09T21:39:17.325724", + "start_time": "2022-12-13T22:16:03.219586", "status": "completed" }, "pycharm": { @@ -6239,16 +6239,16 @@ "id": "04008a46", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:17.472679Z", - "iopub.status.busy": "2022-12-09T21:39:17.471994Z", - "iopub.status.idle": "2022-12-09T21:39:17.504752Z", - "shell.execute_reply": "2022-12-09T21:39:17.503724Z" + "iopub.execute_input": "2022-12-13T22:16:03.376270Z", + "iopub.status.busy": "2022-12-13T22:16:03.375704Z", + "iopub.status.idle": "2022-12-13T22:16:03.399649Z", + "shell.execute_reply": "2022-12-13T22:16:03.399056Z" }, "papermill": { - "duration": 0.07977, - "end_time": "2022-12-09T21:39:17.506945", + "duration": 0.059905, + "end_time": "2022-12-13T22:16:03.401170", "exception": false, - "start_time": "2022-12-09T21:39:17.427175", + "start_time": "2022-12-13T22:16:03.341265", "status": "completed" }, "pycharm": { @@ -6567,10 +6567,10 @@ "id": "d298a228", "metadata": { "papermill": { - "duration": 0.043547, - "end_time": "2022-12-09T21:39:17.595823", + "duration": 0.033524, + "end_time": "2022-12-13T22:16:03.468692", "exception": false, - "start_time": "2022-12-09T21:39:17.552276", + "start_time": "2022-12-13T22:16:03.435168", "status": "completed" }, "pycharm": { @@ -6588,16 +6588,16 @@ "id": "53012df3", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:17.683657Z", - "iopub.status.busy": "2022-12-09T21:39:17.682985Z", - "iopub.status.idle": "2022-12-09T21:39:17.806599Z", - "shell.execute_reply": "2022-12-09T21:39:17.805573Z" + "iopub.execute_input": "2022-12-13T22:16:03.537548Z", + "iopub.status.busy": "2022-12-13T22:16:03.536880Z", + "iopub.status.idle": "2022-12-13T22:16:03.782381Z", + "shell.execute_reply": "2022-12-13T22:16:03.781623Z" }, "papermill": { - "duration": 0.170939, - "end_time": "2022-12-09T21:39:17.809418", + "duration": 0.282685, + "end_time": "2022-12-13T22:16:03.784803", "exception": false, - "start_time": "2022-12-09T21:39:17.638479", + "start_time": "2022-12-13T22:16:03.502118", "status": "completed" }, "pycharm": { @@ -6616,16 +6616,16 @@ "id": "783a85a4", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:39:17.902345Z", - "iopub.status.busy": "2022-12-09T21:39:17.901253Z", - "iopub.status.idle": "2022-12-09T21:40:49.684566Z", - "shell.execute_reply": "2022-12-09T21:40:49.682906Z" + "iopub.execute_input": "2022-12-13T22:16:03.855683Z", + "iopub.status.busy": "2022-12-13T22:16:03.855001Z", + "iopub.status.idle": "2022-12-13T22:17:31.149858Z", + "shell.execute_reply": "2022-12-13T22:17:31.149145Z" }, "papermill": { - "duration": 91.911115, - "end_time": "2022-12-09T21:40:49.766191", + "duration": 87.331658, + "end_time": "2022-12-13T22:17:31.151611", "exception": false, - "start_time": "2022-12-09T21:39:17.855076", + "start_time": "2022-12-13T22:16:03.819953", "status": "completed" }, "pycharm": { @@ -6638,32 +6638,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_955276580.nwb: 100%|██████████| 280M/280M [00:09<00:00, 30.7MMB/s]\n", + "behavior_ophys_experiment_955276580.nwb: 100%|██████████| 280M/280M [00:11<00:00, 24.0MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_956903375.nwb: 100%|██████████| 288M/288M [00:08<00:00, 35.5MMB/s]\n", + "behavior_ophys_experiment_956903375.nwb: 100%|██████████| 288M/288M [00:09<00:00, 29.6MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_957652800.nwb: 100%|██████████| 290M/290M [00:08<00:00, 33.5MMB/s]\n", + "behavior_ophys_experiment_957652800.nwb: 100%|██████████| 290M/290M [00:11<00:00, 25.4MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_959337347.nwb: 100%|██████████| 305M/305M [00:08<00:00, 37.1MMB/s]\n", + "behavior_ophys_experiment_959337347.nwb: 100%|██████████| 305M/305M [00:09<00:00, 32.1MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_960351917.nwb: 100%|██████████| 295M/295M [00:08<00:00, 34.8MMB/s]\n", + "behavior_ophys_experiment_960351917.nwb: 100%|██████████| 295M/295M [00:09<00:00, 30.9MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_960960480.nwb: 100%|██████████| 300M/300M [00:09<00:00, 32.8MMB/s]\n", + "behavior_ophys_experiment_960960480.nwb: 100%|██████████| 300M/300M [00:09<00:00, 32.0MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", @@ -6702,10 +6702,10 @@ "id": "e307cb12", "metadata": { "papermill": { - "duration": 0.07236, - "end_time": "2022-12-09T21:40:49.907823", + "duration": 0.066818, + "end_time": "2022-12-13T22:17:31.285242", "exception": false, - "start_time": "2022-12-09T21:40:49.835463", + "start_time": "2022-12-13T22:17:31.218424", "status": "completed" }, "pycharm": { @@ -6721,10 +6721,10 @@ "id": "916a6eb1", "metadata": { "papermill": { - "duration": 0.089934, - "end_time": "2022-12-09T21:40:50.079095", + "duration": 0.062179, + "end_time": "2022-12-13T22:17:31.408986", "exception": false, - "start_time": "2022-12-09T21:40:49.989161", + "start_time": "2022-12-13T22:17:31.346807", "status": "completed" }, "pycharm": { @@ -6742,16 +6742,16 @@ "id": "8583aaf9", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:40:50.243381Z", - "iopub.status.busy": "2022-12-09T21:40:50.242189Z", - "iopub.status.idle": "2022-12-09T21:40:50.250120Z", - "shell.execute_reply": "2022-12-09T21:40:50.249163Z" + "iopub.execute_input": "2022-12-13T22:17:31.536411Z", + "iopub.status.busy": "2022-12-13T22:17:31.535436Z", + "iopub.status.idle": "2022-12-13T22:17:31.542447Z", + "shell.execute_reply": "2022-12-13T22:17:31.541744Z" }, "papermill": { - "duration": 0.092888, - "end_time": "2022-12-09T21:40:50.252513", + "duration": 0.072363, + "end_time": "2022-12-13T22:17:31.544087", "exception": false, - "start_time": "2022-12-09T21:40:50.159625", + "start_time": "2022-12-13T22:17:31.471724", "status": "completed" }, "pycharm": { @@ -6776,16 +6776,16 @@ "id": "78e63532", "metadata": { "execution": { - "iopub.execute_input": "2022-12-09T21:40:50.406297Z", - "iopub.status.busy": "2022-12-09T21:40:50.405165Z", - "iopub.status.idle": "2022-12-09T21:40:50.416996Z", - "shell.execute_reply": "2022-12-09T21:40:50.415819Z" + "iopub.execute_input": "2022-12-13T22:17:31.676115Z", + "iopub.status.busy": "2022-12-13T22:17:31.675285Z", + "iopub.status.idle": "2022-12-13T22:17:31.683415Z", + "shell.execute_reply": "2022-12-13T22:17:31.682845Z" }, "papermill": { - "duration": 0.089002, - "end_time": "2022-12-09T21:40:50.419102", + "duration": 0.072873, + "end_time": "2022-12-13T22:17:31.684976", "exception": false, - "start_time": "2022-12-09T21:40:50.330100", + "start_time": "2022-12-13T22:17:31.612103", "status": "completed" }, "pycharm": { @@ -6834,10 +6834,10 @@ "id": "ef194001", "metadata": { "papermill": { - "duration": 0.073011, - "end_time": "2022-12-09T21:40:50.567795", + "duration": 0.062482, + "end_time": "2022-12-13T22:17:31.815033", "exception": false, - "start_time": "2022-12-09T21:40:50.494784", + "start_time": "2022-12-13T22:17:31.752551", "status": "completed" }, "pycharm": { @@ -6855,16 +6855,16 @@ "id": "d035286a", "metadata": { "execution": { - 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"2022-12-09T21:42:14.669061Z" + "iopub.execute_input": "2022-12-13T22:17:32.081964Z", + "iopub.status.busy": "2022-12-13T22:17:32.081622Z", + "iopub.status.idle": "2022-12-13T22:18:45.581865Z", + "shell.execute_reply": "2022-12-13T22:18:45.581170Z" }, "papermill": { - "duration": 83.882636, - "end_time": "2022-12-09T21:42:14.672601", + "duration": 73.567648, + "end_time": "2022-12-13T22:18:45.584092", "exception": false, - "start_time": "2022-12-09T21:40:50.789965", + "start_time": "2022-12-13T22:17:32.016444", "status": "completed" }, "pycharm": { @@ -6915,32 +6915,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_1050762966.nwb: 100%|██████████| 254M/254M [00:07<00:00, 33.3MMB/s]\n", + "behavior_ophys_experiment_1050762966.nwb: 100%|██████████| 254M/254M [00:08<00:00, 29.9MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762969.nwb: 100%|██████████| 253M/253M [00:07<00:00, 33.0MMB/s]\n", + "behavior_ophys_experiment_1050762969.nwb: 100%|██████████| 253M/253M [00:08<00:00, 31.5MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762972.nwb: 100%|██████████| 244M/244M [00:07<00:00, 31.3MMB/s]\n", + "behavior_ophys_experiment_1050762972.nwb: 100%|██████████| 244M/244M [00:07<00:00, 33.0MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762974.nwb: 100%|██████████| 248M/248M [00:06<00:00, 37.9MMB/s]\n", + "behavior_ophys_experiment_1050762974.nwb: 100%|██████████| 248M/248M [00:08<00:00, 28.9MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762975.nwb: 100%|██████████| 253M/253M [00:06<00:00, 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"/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.5.1 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.15/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.5.0 is already loaded.\n", @@ -6950,7 +6950,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 55, @@ -7001,10 +7001,10 @@ "id": "2f9f57a1", "metadata": { "papermill": { - "duration": 0.098541, - "end_time": "2022-12-09T21:42:14.868288", + "duration": 0.081518, + "end_time": "2022-12-13T22:18:45.748838", "exception": false, - "start_time": "2022-12-09T21:42:14.769747", + "start_time": "2022-12-13T22:18:45.667320", "status": "completed" }, "pycharm": { @@ -7022,16 +7022,16 @@ "id": "0b9608e5", 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